業績

学術雑誌

[17] Ikemoto S, Kimoto Y and Hosoda K (2015), "Shoulder complex linkage mechanism for humanlike musculoskeletal robot arms", Bioinspiration & Biomimetics. Vol. In Press
Abstract: The shoulder complex in the human body consists of the scapula, clavicle, humerus, and thorax and bears the load imposed by arm movements while at the same time realizing a wide range of motions. To mimic and exploit its role, several musculoskeletal robot arms with shoulder complex mechanisms have been developed. However, although many research groups have tried to design the structures using links and joints that faithfully correspond to the bones and joints in the human shoulder complex, its function has not been successfully reproduced because biologically plausible designs seriously compromise engineering plausibility. In this paper, we propose a linkage mechanism that can reproduce complex three-dimensional scapulo movements and considers the trade-off between biological and engineering plausibilities. Subsequently, the design was validated by driving the mechanism using pneumatic artificial muscles placed similarly to muscles in humans. Further, we present experiments in which the robot was controlled by surface electromyographic signals from a human. We show that the proposed design, due to its kinematic similarity with human musculoskeletal systems, eases the conversion between the surface electromyogram signals and the pneumatic artificial muscles (PAM) control inputs.
BibTeX:
@article{Ikemoto2015shoulder,
  author = {Shuhei Ikemoto and Yuya Kimoto and Koh Hosoda},
  title = {Shoulder complex linkage mechanism for humanlike musculoskeletal robot arms},
  journal = {Bioinspiration & Biomimetics},
  year = {2015},
  volume = {In Press}
}
[16] 細田耕, 荻原直道 and 池本周平 (2015), "屍体足を用いた足部機構の機能解明", システム/制御/情報(解説). Vol. 59(10)
BibTeX:
@article{hosoda2015cadaver,
  author = {細田耕 and 荻原直道 and 池本周平},
  title = {屍体足を用いた足部機構の機能解明},
  journal = {システム/制御/情報},
  year = {2015},
  volume = {59},
  number = {10},
  note = {解説}
}
[15] Koyama N, Ikemoto S and Hosoda K (2015), "Parameter Tuning in the Application of Stochastic Resonance to Redundant Sensor Systems", Journal of robotics and mechatoronics. Vol. 27(3), pp. 251-258.
Abstract: Stochastic resonance (SR) is a phenomenon by which the addition of random noise improves the detection of weak signals. Thus far, this phenomenon has been extensively studied with the aim of improving sensor sensitivity in various fields of engineering research. However, the possibility of actual application of SR has not been explored because the target signal has to be known in order to confirm the occurrence of SR. In this paper, we propose an optimization method for making SR usable in engineering applications. The underlying mechanism of the proposed method is investigated using information theory and numerical simulation. We developed a tactile sensing system based on the simulation results. The proposed method is applied to this system in order to optimize its parameters for exploiting SR. Results of the experiment show that the developed tactile sensing system successfully achieved higher sensitivity than a conventional system.
BibTeX:
@article{koyama2015parameter,
  author = {Nagisa Koyama and Shuhei Ikemoto and Koh Hosoda},
  title = {Parameter Tuning in the Application of Stochastic Resonance to Redundant Sensor Systems},
  journal = {Journal of robotics and mechatoronics},
  year = {2015},
  volume = {27},
  number = {3},
  pages = {251-258}
}
[14] Ito K, Hosoda K, Shimizu M, Ikemoto S, Kume S, Nagura T, Imanishi N, Aiso S, Jinzaki M and Ogihara N (2015), "Direct assessment of 3D foot bone kinematics using biplanar X-ray fluoroscopy and an automatic model registration method", Journal of foot and ankle research., 12, 2015. Vol. 8(1), pp. 21.
Abstract: Quantifying detailed 3-dimensional (3D) kinematics of the foot in contact with the ground during locomotion is crucial for understanding the biomechanical functions of the complex musculoskeletal structure of the foot. Biplanar X-ray fluoroscopic systems and model-based registration techniques have recently been employed to capture and visualise 3D foot bone movements in vivo, but such techniques have generally been performed manually. In the present study, we developed an automatic model-registration method with biplanar fluoroscopy for accurate measurement of 3D movements of the skeletal foot.
BibTeX:
@article{Ito2015direct,
  author = {Kohta Ito and Koh Hosoda and Masahiro Shimizu and Shuhei Ikemoto and Shinnosuke Kume and Takeo Nagura and Nobuaki Imanishi and Sadakazu Aiso and Masahiro Jinzaki and Naomichi Ogihara},
  title = {Direct assessment of 3D foot bone kinematics using biplanar X-ray fluoroscopy and an automatic model registration method},
  journal = {Journal of foot and ankle research},
  year = {2015},
  volume = {8},
  number = {1},
  pages = {21},
  doi = {10.1186/s13047-015-0079-4}
}
[13] Shimizu T, Saegusa R, Ikemoto S, Ishiguro H and Metta G (2014), "Robust Sensorimotor Representation to Physical Interaction Changes in Humanoid Motion Learning", IEEE Transactions on Neural Networks and Learning Systems., 4, 2014. Vol. 26(5), pp. 1035-1047.
Abstract: This paper proposes a learning from demonstration system based on a motion feature, called phase transfer sequence. The system aims to synthesize the knowledge on humanoid whole body motions learned during teacher-supported interactions, and apply this knowledge during different physical interactions between a robot and its surroundings. The phase transfer sequence represents the temporal order of the changing points in multiple time sequences. It encodes the dynamical aspects of the sequences so as to absorb the gaps in timing and amplitude derived from interaction changes. The phase transfer sequence was evaluated in reinforcement learning of sitting-up and walking motions conducted by a real humanoid robot and compatible simulator. In both tasks, the robotic motions were less dependent on physical interactions when learned by the proposed feature than by conventional similarity measurements. Phase transfer sequence also enhanced the convergence speed of motion learning. Our proposed feature is original primarily because it absorbs the gaps caused by changes of the originally acquired physical interactions, thereby enhancing the learning speed in subsequent interactions.
BibTeX:
@article{shimizu2014robust,
  author = {Toshihiko Shimizu and Ryo Saegusa and Shuhei Ikemoto and Hiroshi Ishiguro and Giorgio Metta},
  title = {Robust Sensorimotor Representation to Physical Interaction Changes in Humanoid Motion Learning},
  journal = {IEEE Transactions on Neural Networks and Learning Systems},
  year = {2014},
  volume = {26},
  number = {5},
  pages = {1035-1047},
  doi = {10.1109/TNNLS.2014.2333092}
}
[12] Ikemoto S, DallaLibera F, Hosoda K and Ishiguro H (2014), "Spurious Correlation as an Approximation of the Mutual Information between Redundant Outputs and an Unknown Input", Communications in Nonlinear Science and Numerical Simulation., October, 2014. Vol. 19(10), pp. 3611-3616.
Abstract: Stochastic resonance (SR) is a counterintuitive phenomenon, observed in a wide variety of nonlinear systems, for which the addition of noise of opportune magnitude can improve signal detection. Tuning the noise for maximizing the SR effect is important both for artificial and biological systems. In the case of artificial systems, full exploitation of the SR effect opens the possibility of measuring otherwise unmeasurable signals. In biology, identification of possible SR maximization mechanisms is of great interest for explaining the low-energy high-sensitivity perception capabilities often observed in animals. SR maximization approaches presented in literature use knowledge on the input signal (or stimulus, in the case of living beings), and maximize the mutual information between the input and the output signal. The input signal, however, is unknown in many practical settings. To cope with this problem, this paper introduces an approximation of the input-output mutual information based on the spurious correlation among a set of redundant units. A proof of the approximation, as well as numerical examples of its application are given.
BibTeX:
@article{ikemoto2014spurious,
  author = {Shuhei Ikemoto and Fabio DallaLibera and Koh Hosoda and Hiroshi Ishiguro},
  title = {Spurious Correlation as an Approximation of the Mutual Information between Redundant Outputs and an Unknown Input},
  journal = {Communications in Nonlinear Science and Numerical Simulation},
  year = {2014},
  volume = {19},
  number = {10},
  pages = {3611-3616},
  doi = {10.1016/j.cnsns.2014.03.021}
}
[11] Shirafuji S, Ikemoto S and Hosoda K (2014), "Development of a tendon-driven robotic finger for an anthropomorphic robotic hand", The International Journal of Robotics Research. Vol. 33, pp. 677-693.
Abstract: Our paper proposes a tendon-driven robotic finger based on an anatomical model of a human finger and a suitable method for its analysis. Our study aims to realize an anthropomorphic robotic hand that has the same characteristics and dexterity as that of a human hand, and it also aims to identify the advantages of the human musculoskeletal structure for application to the design and control of robot manipulators. When designing an anthropomorphic robotic hand, several devices are required to apply the human finger structure to a tendon-driven robotic finger. Reasons for this include that one of the human finger muscles, namely, the lumbrical muscle, is situated between tendons, which is an unfavorable configuration for the tendon-driven mechanism. Second, unlike a standard pulley used in a tendon-driven mechanism, some moment arms of the human finger change nonlinearly according to the joint angle. In our robotic finger design, we address these difficulties by rearranging its tendons and develop a mechanism to change the moment arm. We also propose a method to analyze and control this robotic fingers coordinating joints using non-stretch branching tendons based on the human extensor mechanism with a virtual tendon Jacobian matrix and the advantage is that this constraint virtually reduces the degrees-of-freedom (DOF) of the mechanism. Further, we build a prototype to confirm its motion using this method. In addition, we show that the state with the reduced DOF can be lost by external forces acting on the mechanism, and this condition can be changed manually by adjusting the tendon forces. This makes it possible to control the virtual DOFs to satisfy the requirements of the task. Finally, we discuss the benefits from anthropomorphic structures including the tendon arrangement, which mimic the human lumbrical muscle, and the above mentioned mechanism with non-linear moment arms from the perspective that there are two states of DOFs. These insights may provide new perspectives in the design of robotic hands.
BibTeX:
@article{shirafuji2014development,
  author = {Shouhei Shirafuji and Shuhei Ikemoto and Koh Hosoda},
  title = {Development of a tendon-driven robotic finger for an anthropomorphic robotic hand},
  journal = {The International Journal of Robotics Research},
  year = {2014},
  volume = {33},
  pages = {677-693},
  doi = {10.1177/0278364913518357}
}
[10] Ikemoto S, DallaLibera F, Hosoda K and Ishiguro H (2012), "Minimalistic Behavioral Rule derived from Bacterial Chemotaxis in a Stochastic Resonance Setup", Physical Review E: Statistical, Nonlinear, and Soft Matter Physics., February, 2012. Vol. 85(2), pp. 021905.
Abstract: Animals are able to cope with the noise, uncertainties, and complexity of the real world. Often even elementary living beings, equipped with very limited sensory organs, are able to reach regions favorable to their existence, using simple stochastic policies. In this paper we discuss a minimalistic stochastic behavioral rule, inspired from bacteria chemotaxis, which is able to increase the value of a specified evaluation function in a similar manner. In particular, we prove that, under opportune assumptions, the direction that is taken with maximum probability by an agent that follows this rule corresponds to the optimal direction. The rule does not require a specific agent dynamics, needs no memory for storing observed states, and works in generic n-dimensional spaces. It thus reveals itself interesting for the control of simple sensing robots as well.
BibTeX:
@article{ikemoto2012minimalistic,
  author = {Shuhei Ikemoto and Fabio DallaLibera and Koh Hosoda and Hiroshi Ishiguro},
  title = {Minimalistic Behavioral Rule derived from Bacterial Chemotaxis in a Stochastic Resonance Setup},
  journal = {Physical Review E: Statistical, Nonlinear, and Soft Matter Physics},
  year = {2012},
  volume = {85},
  number = {2},
  pages = {021905},
  doi = {10.1103/PhysRevE.85.021905}
}
[9] Ikemoto S, Amor HB, Minato T and Ishiguro H (2012), "Mutual Learning and Adaptation in Physical Human-Robot Interaction", IEEE Robotics & Automation Magazine., December, 2012. Vol. 19(4), pp. 24-35.
Abstract: Close physical interaction between robots and humans is a particularly challenging aspect of robot development. For successful interaction and cooperation, the robot must have the ability to adapt its behavior to the human counterpart. Based on our earlier work, we present and evaluate a computationally efficient machine learning algorithm that is well suited for such close-contact interaction scenarios. We show that this algorithm helps to improve the quality of the interaction between a robot and a human caregiver. To this end, we present two human-in-the-loop learning scenarios that are inspired by human parenting behavior, namely, an assisted standing-up task and an assisted walking task.
BibTeX:
@article{ikemoto2012mutual,
  author = {Shuhei Ikemoto and Heni Ben Amor and Takashi Minato and Hiroshi Ishiguro},
  title = {Mutual Learning and Adaptation in Physical Human-Robot Interaction},
  journal = {IEEE Robotics & Automation Magazine},
  year = {2012},
  volume = {19},
  number = {4},
  pages = {24-35},
  doi = {10.1109/MRA.2011.2181676}
}
[8] DallaLibera F, Ikemoto S, Ishiguro H and Hosoda K (2012), "Control of real-world complex robots using a biologically inspired algorithm", Artificial Life and Robotics., October, 2012. Vol. 17(1), pp. 42-46.
Abstract: Elementary living beings, like bacteria, are able to reach food sources using only limited and very noisy sensory information. In this paper, we describe a very simple algorithm inspired from bacteria chemotaxis. We present a Markov chain model for studying the effect of noise on the behavior of an agent that moves according to this algorithm, and we show that, counterintuitively, the application of noise can increase the expected average performance over a fixed available time. After this theoretical analysis, experiments on real-world application of this algorithm are introduced. In particular, we show that the algorithm is able to control a complex robot arm, actuated by 17 McKibben pneumatic artificial muscles, without the need of any model of the robot or of its environment.
BibTeX:
@article{dallalibera2012control,
  author = {Fabio DallaLibera and Shuhei Ikemoto and Hiroshi Ishiguro and Koh Hosoda},
  title = {Control of real-world complex robots using a biologically inspired algorithm},
  journal = {Artificial Life and Robotics},
  year = {2012},
  volume = {17},
  number = {1},
  pages = {42-46},
  doi = {10.1007/s10015-012-0034-4}
}
[7] Hosoda K, Sekimoto S, Nishigori Y, Takamuku S and Ikemoto S (2012), "Anthropomorphic Muscular-Skeletal Robotic Upper Limb For Understanding Embodied Intelligence", Advanced Robotics., April, 2012. Vol. 26(7), pp. 729-744.
Abstract: In this paper, we describe an anthropomorphic muscular skeletal robotic upper limb and focus on its soft interaction with the environment. Two experiments are conducted to demonstrate the ability of the system: object recognition by dynamic touch and adaptive door opening. The first experiment shows that the compliant robot is advantageous for categorizing an object by shaking and the second experiment shows that the human-comparable compliant robot can open a door without precise control. The robot is expected to have comparable anisotropic compliance to that of a human, which can be utilized for realization of human-like adaptive behavior.
BibTeX:
@article{hosoda2012anthropomorphic,
  author = {Koh Hosoda and Shunsuke Sekimoto and Yoichi Nishigori and Shinya Takamuku and Shuhei Ikemoto},
  title = {Anthropomorphic Muscular-Skeletal Robotic Upper Limb For Understanding Embodied Intelligence},
  journal = {Advanced Robotics},
  year = {2012},
  volume = {26},
  number = {7},
  pages = {729-744},
  doi = {10.1163/156855312X625371}
}
[6] Ikemoto S, Nishigori Y and Hosoda K (2012), "Advantages of flexible musculoskeletal robot structure in sensory acquisition", Artificial Life and Robotics., October, 2012. Vol. 17(1), pp. 63-69.
Abstract: Morphological computation is the concept for which a well-designed hardware can bear part of the computational cost required for robot’s control and perception. So far, many musculoskeletal robots have been developed by taking inspiration from human’s one and shown superior motion performances. The use of pneumatic artificial muscles (PAMs) has been the key to realize these high performance. Additionally, PAMs have the possibility of being used as sensors for environmental information because they are flexible and backdrivable. In this research, we focus on clarifying how PAMs can contribute to morphological computation of robots driven by these actuators. In particular, we propose an analysis method based on transfer entropy and apply this method to the experimental data acquired by a musculoskeletal robot that opens a door.
BibTeX:
@article{ikemoto2012advantages,
  author = {Shuhei Ikemoto and Yoichi Nishigori and Koh Hosoda},
  title = {Advantages of flexible musculoskeletal robot structure in sensory acquisition},
  journal = {Artificial Life and Robotics},
  year = {2012},
  volume = {17},
  number = {1},
  pages = {63-69},
  doi = {10.1007/s10015-012-0017-5}
}
[5] Shimizu T, Saegusa R, Ikemoto S, Ishiguro H and Metta G (2012), "Self-protective whole body motion for humanoid robots based on synergy of global reaction and local reflex", Neural Networks. Vol. 32, pp. 109-118.
Abstract: This paper describes a self-protective whole body motor controller to enable life-long learning of humanoid robots. In order to reduce the damages on robots caused by physical interaction such as obstacle collision, we introduce self-protective behaviors based on the adaptive coordination of full-body global reactions and local limb reflexes. Global reactions aim at adaptive whole-body movements to prepare for harmful situations. The system incrementally learns a more effective association of the states and global reactions. Local reflexes based on a force-torque sensing function to reduce the impact load on the limbs independently of high-level motor intention. We examined the proposed method with a robot simulator in various conditions. We then applied the systems on a real humanoid robot.
BibTeX:
@article{shimizu2012self,
  author = {Toshihiko Shimizu and Ryo Saegusa and Shuhei Ikemoto and Hiroshi Ishiguro and Giorgio Metta},
  title = {Self-protective whole body motion for humanoid robots based on synergy of global reaction and local reflex},
  journal = {Neural Networks},
  year = {2012},
  volume = {32},
  pages = {109-118},
  doi = {10.1016/j.neunet.2012.02.011}
}
[4] Ikemoto S, DallaLibera F and Ishiguro H (2011), "Stochastic Resonance Emergence from a Minimalistic Behavioral Rule", Journal of Theoretical Biology., March, 2011. Vol. 273(1), pp. 179-187.
Abstract: Stochastic resonance (SR) is a phenomenon occurring in nonlinear systems by which the ability to process information, for instance the detection of weak signals is statistically enhanced by a non-zero level of noise. SR effects have been observed in a great variety of systems, comprising electronic circuits, optical devices, chemical reactions and neurons. In this paper we report the SR phenomena occurring in the execution of an extremely simple behavioral rule inspired from bacteria chemotaxis. The phenomena are quantitatively analyzed by using Markov chain models and Monte Carlo simulations.
BibTeX:
@article{ikemoto2011stochastic,
  author = {Shuhei Ikemoto and Fabio DallaLibera and Hiroshi Ishiguro},
  title = {Stochastic Resonance Emergence from a Minimalistic Behavioral Rule},
  journal = {Journal of Theoretical Biology},
  year = {2011},
  volume = {273},
  number = {1},
  pages = {179-187},
  doi = {10.1016/j.jtbi.2011.01.002}
}
[3] 池本周平, ベン・アモル・ヘニ, 港隆史, ユング・バーンハード and 石黒浩 (2010), "物理的な人間 ロボット間インタラクションを利用した柔軟関節ヒューマノイドロボットの運動学習", 日本ロボット学会誌. Vol. 28(8), pp. 1025-1035.
BibTeX:
@article{ikemoto2010physical_ja,
  author = {池本周平 and ベン・アモル・ヘニ and 港隆史 and ユング・バーンハード and 石黒浩},
  title = {物理的な人間 ロボット間インタラクションを利用した柔軟関節ヒューマノイドロボットの運動学習},
  journal = {日本ロボット学会誌},
  year = {2010},
  volume = {28},
  number = {8},
  pages = {1025-1035},
  doi = {10.7210/jrsj.28.1025}
}
[2] Ikemoto S, Minato T and Ishiguro H (2008), "Analysis of Physical Human-Robot Interaction for Motor Learning with Physical Help", Applied Bionics and Biomechanics., March, 2008. Vol. 5(4), pp. 213-223.
Abstract: In this paper, we investigate physical human robot interaction (PHRI) as an important extension of traditional HRI research. The aim of this research is to develop a motor learning system that uses physical help from a human helper. We first propose a new control system that takes advantage of inherent joint flexibility. This control system is applied on a new humanoid robot called CB2. In order to clarify the difference between successful and unsuccessful interaction, we conduct an experiment where a human subject has to help the CB2 robot in its rising-up motion. We then develop a new measure that demonstrates the difference between smooth and non-smooth physical interactions. An analysis of the experiment's data, based on the introduced measure, shows significant differences between experts and beginners in human robot interaction.
BibTeX:
@article{ikemoto2008analysis,
  author = {Shuhei Ikemoto and Takashi Minato and Hiroshi Ishiguro},
  title = {Analysis of Physical Human-Robot Interaction for Motor Learning with Physical Help},
  journal = {Applied Bionics and Biomechanics},
  year = {2008},
  volume = {5},
  number = {4},
  pages = {213-223},
  doi = {10.1080/11762320902808143}
}
[1] 池本周平, 港隆史 and 石黒浩 (2008), "空気圧マニピュレータの特性を考慮した運動学習システムの提案", 計測自動制御学会論文集. Vol. 44(6), pp. 525-531.
BibTeX:
@article{ikemoto2008pneumatic_ja,
  author = {池本周平 and 港隆史 and 石黒浩},
  title = {空気圧マニピュレータの特性を考慮した運動学習システムの提案},
  journal = {計測自動制御学会論文集},
  year = {2008},
  volume = {44},
  number = {6},
  pages = {525-531}
}

国際会議(査読あり)

[22] Ikemoto S, Kimoto Y and Hosoda K (2015), "sEMG-based Posture Control of Shoulder Complex Linkage Mechanism", In Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems.
BibTeX:
@conference{ikemoto2015semg,
  author = {Shuhei Ikemoto and Yuya Kimoto and Koh Hosoda},
  title = {sEMG-based Posture Control of Shoulder Complex Linkage Mechanism},
  booktitle = {Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems},
  year = {2015}
}
[21] Shin H, Ikemoto S and Hosoda K (2015), "Development of musculoskeletal humanoid robot ”Pneumat-BP” with human-like pelvis structure", In Proceedings of International Symposium on Adaptive Motion in Animals and Machines.
BibTeX:
@conference{shin2015development,
  author = {Hirofumi Shin and Shuhei Ikemoto and Koh Hosoda},
  title = {Development of musculoskeletal humanoid robot ”Pneumat-BP” with human-like pelvis structure},
  booktitle = {Proceedings of International Symposium on Adaptive Motion in Animals and Machines},
  year = {2015}
}
[20] Shin H, Ikemoto S and Hosoda K (2015), "Understanding Function of Gluteus Medius in Human Walking from Constructivist Approach", In Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems.
BibTeX:
@conference{shin2015understanding,
  author = {Hirofumi Shin and Shuhei Ikemoto and Koh Hosoda},
  title = {Understanding Function of Gluteus Medius in Human Walking from Constructivist Approach},
  booktitle = {Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems},
  year = {2015}
}
[19] Ikemoto S, Kimoto Y, Saito H and Hosoda K (2015), "Development of an Upper-Limb Linkage Mechanism for an Advanced Musculoskeletal Robot Arm", In Proceedings of International Symposium on Adaptive Motion in Animals and Machines.
BibTeX:
@conference{ikemoto2015development,
  author = {Shuhei Ikemoto and Yuya Kimoto and Hajime Saito and Koh Hosoda},
  title = {Development of an Upper-Limb Linkage Mechanism for an Advanced Musculoskeletal Robot Arm},
  booktitle = {Proceedings of International Symposium on Adaptive Motion in Animals and Machines},
  year = {2015}
}
[18]Ikemoto S, Kayano Y and Hosoda K (2014), "Active Behavior of Musculoskeletal Robot Arms driven by Pneumatic Artificial Muscles for Receiving Human’s Direct Teaching Effectively", In IEEE/RSJ International Conference on Intelligent Robots and Systems.
BibTeX:
@conference{ikemoto2014active,
  author = {Shuhei Ikemoto and Yuji Kayano and Koh Hosoda},
  title = {Active Behavior of Musculoskeletal Robot Arms driven by Pneumatic Artificial Muscles for Receiving Human’s Direct Teaching Effectively},
  booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems},
  year = {2014}
}
[17]Shirafuji S, Ikemoto S and Hosoda K (2014), "Tendon Routing Resolving Inverse Kinematics for Variable Stiffness Joint", In IEEE/RSJ International Conference on Intelligent Robots and Systems.
BibTeX:
@conference{shirafuji2014tendon,
  author = {Shouhei Shirafuji and Shuhei Ikemoto and Koh Hosoda},
  title = {Tendon Routing Resolving Inverse Kinematics for Variable Stiffness Joint},
  booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems},
  year = {2014}
}
[16] Ikemoto S, Inoue Y, Shimizu M and Hosoda K (2013), "Minimalistic decentralized control using stochastic resonance inspired from a skeletal muscle", In IEEE/RSJ International Conference on Intelligent Robots and Systems. , pp. 343-348.
BibTeX:
@conference{ikemoto2013minimalistic,
  author = {Shuhei Ikemoto and Yosuke Inoue and Masahiro Shimizu and Koh Hosoda},
  title = {Minimalistic decentralized control using stochastic resonance inspired from a skeletal muscle},
  booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems},
  year = {2013},
  pages = {343-348}
}
[15] Ikemoto S, Inoue Y, Shimizu M and Hosoda K (2013), "Minimalistic decentralized modelling for a skeletal muscle based on stochastic resonance", In 6th International Symposium on Adaptive Motion of Animals and Machines.
BibTeX:
@conference{ikemoto2013minimalistic2,
  author = {Shuhei Ikemoto and Yosuke Inoue and Masahiro Shimizu and Koh Hosoda},
  title = {Minimalistic decentralized modelling for a skeletal muscle based on stochastic resonance},
  booktitle = {6th International Symposium on Adaptive Motion of Animals and Machines},
  year = {2013}
}
[14] Ikemoto S, Kannou F and Hosoda K (2012), "Humanlike shoulder complex for musculoskeletal robot arms", In IEEE/RSJ International Conference on Intelligent Robots and Systems., October, 2012. , pp. 4892-4897.
BibTeX:
@conference{ikemoto2012humanlike,
  author = {Shuhei Ikemoto and Fumiya Kannou and Koh hosoda},
  title = {Humanlike shoulder complex for musculoskeletal robot arms},
  booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems},
  year = {2012},
  pages = {4892-4897}
}
[13] Koyama N, Ikemoto S and Hosoda K (2012), "Redundant sensor system for stochastic resonance tuning without input signal knowledge", In IEEE/RSJ International Conference on Intelligent Robots and Systems., October, 2012. , pp. 4892-4897.
BibTeX:
@conference{koyama2012redundant,
  author = {Nagisa Koyama and Shuhei Ikemoto and Koh Hosoda},
  title = {Redundant sensor system for stochastic resonance tuning without input signal knowledge},
  booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems},
  year = {2012},
  pages = {4892-4897}
}
[12] Shirafuji S, Ikemoto S and Hosoda K (2012), "Design of An Anthropomorphic Tendon-Driven Robotic Finger", In IEEE International Conference on Robotics and Biomimetics.
BibTeX:
@conference{shirafuji2012design,
  author = {Shouhei Shirafuji and Shuhei Ikemoto and Koh Hosoda},
  title = {Design of An Anthropomorphic Tendon-Driven Robotic Finger},
  booktitle = {IEEE International Conference on Robotics and Biomimetics},
  year = {2012}
}
[11] Ikemoto S, Nishigori Y and Hosoda K (2012), "Direct Teaching Method for Musculskeletal Robots driven by Pneumatic Artificial Muscles", In IEEE International Conference on Robotics and Automation., May, 2012. , pp. 3185-3191.
BibTeX:
@conference{ikemoto2012direct,
  author = {Shuhei Ikemoto and Yoichi Nishigori and Koh Hosoda},
  title = {Direct Teaching Method for Musculskeletal Robots driven by Pneumatic Artificial Muscles},
  booktitle = {IEEE International Conference on Robotics and Automation},
  year = {2012},
  pages = {3185-3191}
}
[10]Hartmann C, Boedecker J, Obst O, Ikemoto S and Asada M (2012), "Real-Time Inverse Dynamics Learning for Musculoskeletal Robots based on Echo State Gaussian Process Regression", In Proceedings of Robotics: Science and Systems.
BibTeX:
@conference{hartmann2012realtime,
  author = {Christoph Hartmann and Joschka Boedecker and Oliver Obst and Shuhei Ikemoto and Minoru Asada},
  title = {Real-Time Inverse Dynamics Learning for Musculoskeletal Robots based on Echo State Gaussian Process Regression},
  booktitle = {Proceedings of Robotics: Science and Systems},
  year = {2012}
}
[9] Shirafuji S, Ikemoto S and Hosoda K (2011), "Tactile Sensitivity Modulation of Elastic Skin by Change of Grasping Force", In The 5th International Symposium on Adaptive Motion in Animals and Machines., October, 2011.
BibTeX:
@conference{shirafuji2011tactile,
  author = {Shouhei Shirafuji and Shuhei Ikemoto and Koh Hosoda},
  title = {Tactile Sensitivity Modulation of Elastic Skin by Change of Grasping Force},
  booktitle = {The 5th International Symposium on Adaptive Motion in Animals and Machines},
  year = {2011}
}
[8] DallaLibera F, Ikemoto S, Hosoda K and Ishiguro H (2011), "Minimalistic Behavioral Rule for Reflecting Robot's Morphology", In The 5th International Symposium on Adaptive Motion in Animals and Machines., October, 2011.
BibTeX:
@conference{dallalibera2011minimalistic,
  author = {Fabio DallaLibera and Shuhei Ikemoto and Koh Hosoda and Hiroshi Ishiguro},
  title = {Minimalistic Behavioral Rule for Reflecting Robot's Morphology},
  booktitle = {The 5th International Symposium on Adaptive Motion in Animals and Machines},
  year = {2011}
}
[7] Ikemoto S, Nishigori Y and Hosoda K (2011), "Adaptive Motion of a Musculoskeletal Robot Arm utilizing Physical Constraint", In The 5th International Symposium on Adaptive Motion in Animals and Machines., October, 2011.
BibTeX:
@conference{ikemoto2011adaptive,
  author = {Shuhei Ikemoto and Yoichi Nishigori and Koh Hosoda},
  title = {Adaptive Motion of a Musculoskeletal Robot Arm utilizing Physical Constraint},
  booktitle = {The 5th International Symposium on Adaptive Motion in Animals and Machines},
  year = {2011}
}
[6] DallaLibera F, Ikemoto S, Minato T, Ishiguro H, Menegatti E and Pagello E (2010), "Biologically inspired mobile robot control robust to hardware failures and sensor noise", In RoboCup Symposium 2010.
BibTeX:
@conference{dallalibera2010biologically,
  author = {Fabio DallaLibera and Shuhei Ikemoto and Takashi Minato and Hiroshi Ishiguro and Emanuele Menegatti and Enrico Pagello},
  title = {Biologically inspired mobile robot control robust to hardware failures and sensor noise},
  booktitle = {RoboCup Symposium 2010},
  year = {2010}
}
[5] DallaLibera F, Ikemoto S, Minato T, Ishiguro H, Menegatti E and Pagello E (2010), "A parameterless biologically inspired control algorithm robust to nonlinearities, dead-times and low-pass filtering effects", In 2nd International Conference on Simulation, Modeling and Programming for Autonomous Robots.
BibTeX:
@conference{dallalibera2010parameter,
  author = {Fabio DallaLibera and Shuhei Ikemoto and Takashi Minato and Hiroshi Ishiguro and Emanuele Menegatti and Enrico Pagello},
  title = {A parameterless biologically inspired control algorithm robust to nonlinearities, dead-times and low-pass filtering effects},
  booktitle = {2nd International Conference on Simulation, Modeling and Programming for Autonomous Robots},
  year = {2010}
}
[4] Ikemoto S, Amor HB, Minato T, Ishiguro H and Jung B (2009), "Physical Interaction Learning: Behavior Adaptation in Cooperative Human-Robot Tasks Involving Physical contact", In 18th IEEE International Symposium on Robot & Human Interactive Communication.
BibTeX:
@conference{ikemoto2009physical,
  author = {Shuhei Ikemoto and Heni Ben Amor and Takashi Minato and Hiroshi Ishiguro and Bernhard Jung},
  title = {Physical Interaction Learning: Behavior Adaptation in Cooperative Human-Robot Tasks Involving Physical contact},
  booktitle = {18th IEEE International Symposium on Robot & Human Interactive Communication},
  year = {2009}
}
[3] Ikemoto S, Minato T and Ishiguro H (2008), "Analysis of Physical Human-Robot Interaction for Motor Learning with Physical Help", In IEEE-RAS International Conference on Humanoid Robots.
BibTeX:
@conference{Ikemoto2008analysis2,
  author = {Shuhei Ikemoto and Takashi Minato and Hiroshi Ishiguro},
  title = {Analysis of Physical Human-Robot Interaction for Motor Learning with Physical Help},
  booktitle = {IEEE-RAS International Conference on Humanoid Robots},
  year = {2008}
}
[2] Minato T, Yoshikawa Y, Noda T, Ikemoto S and Ishiguro H (2007), "CB2: Child robot with Biomimetic Body for Cognitive Developmental robotics", In IEEE-RAS International Conference on Humanoid Robots.
BibTeX:
@conference{minato2007cb2,
  author = {Takashi Minato and Yuichiro Yoshikawa and Tomoyuki Noda and Shuhei Ikemoto and Hiroshi Ishiguro},
  title = {CB2: Child robot with Biomimetic Body for Cognitive Developmental robotics},
  booktitle = {IEEE-RAS International Conference on Humanoid Robots},
  year = {2007}
}
[1] Amor HB, Ikemoto S, Minato T, Ishiguro H and Jung B (2007), "A Neural Framework for Robot Motor Learning Based on Memory Consolidation", In International Conference on Adaptive and Natural Computing Algorithms. , pp. 641-648.
BibTeX:
@conference{amor2007neural,
  author = {Heni Ben Amor and Shuhei Ikemoto and Takashi Minato and Hiroshi Ishiguro and Bernhard Jung},
  title = {A Neural Framework for Robot Motor Learning Based on Memory Consolidation},
  booktitle = {International Conference on Adaptive and Natural Computing Algorithms},
  year = {2007},
  pages = {641-648}
}

国内会議(査読あり)

[3] 西郡陽一, 池本周平 and 細田 耕 (2011), "柔軟性と物理的拘束を利用した筋骨格ロボットアームの適応的運動", In 第16回ロボティクスシンポジア.
BibTeX:
@conference{nishigori2011flexibility_ja,
  author = {西郡陽一 and 池本周平 and 細田 耕},
  title = {柔軟性と物理的拘束を利用した筋骨格ロボットアームの適応的運動},
  booktitle = {第16回ロボティクスシンポジア},
  year = {2011},
  note = {Reviewed}
}
[2] 池内祥人, 池本周平 and 細田 耕 (2011), "ヒトの脊髄反射機構を規範とした筋紡錘を有する筋骨格ロボットアームの適応的制御", In 第16回ロボティクスシンポジア.
BibTeX:
@conference{ikeuchi2011reflex_ja,
  author = {池内祥人 and 池本周平 and 細田 耕},
  title = {ヒトの脊髄反射機構を規範とした筋紡錘を有する筋骨格ロボットアームの適応的制御},
  booktitle = {第16回ロボティクスシンポジア},
  year = {2011},
  note = {Reviewed}
}
[1] 池本周平, 港隆史 and 石黒浩 (2008), "物理的接触を伴う人間 ロボット間インタラクションの解析", In ロボティクスシンポジア.
BibTeX:
@conference{ikemoto2008analysis_ja,
  author = {池本周平 and 港隆史 and 石黒浩},
  title = {物理的接触を伴う人間 ロボット間インタラクションの解析},
  booktitle = {ロボティクスシンポジア},
  year = {2008}
}

国内会議(査読なし)

[26] 木本雄也, 池本周平 and 細田耕 (2013), "表面筋電位を用いた筋骨格ロボットアームの制御", In ロボティクス・メカトロニクス講演会.
BibTeX:
@conference{kimoto2013control_ja,
  author = {木本雄也 and 池本周平 and 細田耕},
  title = {表面筋電位を用いた筋骨格ロボットアームの制御},
  booktitle = {ロボティクス・メカトロニクス講演会},
  year = {2013}
}
[25] 戸塚拓伸, 池本周平 and 細田耕 (2013), "空気圧人工筋で駆動されるマスタ・スレーブ型遠隔操作ロボットシステム", In ロボティクス・メカトロニクス講演会.
BibTeX:
@conference{toduka2013system_ja,
  author = {戸塚拓伸 and 池本周平 and 細田耕},
  title = {空気圧人工筋で駆動されるマスタ・スレーブ型遠隔操作ロボットシステム},
  booktitle = {ロボティクス・メカトロニクス講演会},
  year = {2013}
}
[24] 井上陽介, 池本周平 and 細田耕 (2012), "確率共鳴に基づく生物型アクチュエータの確率モデル", In 第13回計測自動制御学会システムインテグレーション部門講演会.
BibTeX:
@conference{inoue2012model_ja,
  author = {井上陽介 and 池本周平 and 細田耕},
  title = {確率共鳴に基づく生物型アクチュエータの確率モデル},
  booktitle = {第13回計測自動制御学会システムインテグレーション部門講演会},
  year = {2012}
}
[23] 栢野裕次, 池本周平 and 細田耕 (2012), "空気圧人工筋で駆動されるロボットアームの直接教示における被教示動作の制御", In 第13回計測自動制御学会システムインテグレーション部門講演会.
BibTeX:
@conference{kayano2012control_ja,
  author = {栢野裕次 and 池本周平 and 細田耕},
  title = {空気圧人工筋で駆動されるロボットアームの直接教示における被教示動作の制御},
  booktitle = {第13回計測自動制御学会システムインテグレーション部門講演会},
  year = {2012}
}
[22] 白藤翔平, 池本周平 and 細田耕 (2012), "ヒトの筋腱構造を模したロボットフィンガ機構の提案", In 日本ロボット学会第30回記念学術講演会.
BibTeX:
@conference{shirafuji2012finger_ja,
  author = {白藤翔平 and 池本周平 and 細田耕},
  title = {ヒトの筋腱構造を模したロボットフィンガ機構の提案},
  booktitle = {日本ロボット学会第30回記念学術講演会},
  year = {2012}
}
[21] 栢野裕次, 池本周平 and 細田 耕 (2012), "空気圧人工筋の特性を利用した筋骨格ロボットアームへの直接教示", In ロボティクス・メカトロニクス講演会.
BibTeX:
@conference{kayano2012teaching_ja,
  author = {栢野裕次 and 池本周平 and 細田 耕},
  title = {空気圧人工筋の特性を利用した筋骨格ロボットアームへの直接教示},
  booktitle = {ロボティクス・メカトロニクス講演会},
  year = {2012}
}
[20] 管納史也, 池本周平 and 細田 耕 (2012), "空気圧人工筋駆動の筋骨格ロボットアームにおける投球動作", In ロボティクス・メカトロニクス講演会.
BibTeX:
@conference{kannou2012motion_ja,
  author = {管納史也 and 池本周平 and 細田 耕},
  title = {空気圧人工筋駆動の筋骨格ロボットアームにおける投球動作},
  booktitle = {ロボティクス・メカトロニクス講演会},
  year = {2012}
}
[19] 小山渚, 池本周平 and 細田 耕 (2012), "確率共鳴の自動調整を可能とする冗長センサシステム", In ロボティクス・メカトロニクス講演会.
BibTeX:
@conference{koyama2012system_ja,
  author = {小山渚 and 池本周平 and 細田 耕},
  title = {確率共鳴の自動調整を可能とする冗長センサシステム},
  booktitle = {ロボティクス・メカトロニクス講演会},
  year = {2012}
}
[18] 白藤翔平, 池本周平 and 細田耕 (2012), "虫様筋を模した機構を有するロボットフィンガの開発", In ロボティクス・メカトロニクス講演会.
BibTeX:
@conference{shirafuji2012development_ja,
  author = {白藤翔平 and 池本周平 and 細田耕},
  title = {虫様筋を模した機構を有するロボットフィンガの開発},
  booktitle = {ロボティクス・メカトロニクス講演会},
  year = {2012}
}
[17] 管納史也, 池本周平 and 細田耕 (2011), "回転型部分開放関節を搭載した上肢帯ロボットの開発", In 第29回日本ロボット学会学術講演会.
BibTeX:
@conference{kannou2011develop_ja,
  author = {管納史也 and 池本周平 and 細田耕},
  title = {回転型部分開放関節を搭載した上肢帯ロボットの開発},
  booktitle = {第29回日本ロボット学会学術講演会},
  year = {2011}
}
[16] 小山渚, 池本周平 and 細田耕 (2011), "ヒト規範触覚センサの実現に向けた確率共鳴強度の最適化", In 第29回日本ロボット学会学術講演会.
BibTeX:
@conference{koyama2011optimization_ja,
  author = {小山渚 and 池本周平 and 細田耕},
  title = {ヒト規範触覚センサの実現に向けた確率共鳴強度の最適化},
  booktitle = {第29回日本ロボット学会学術講演会},
  year = {2011}
}
[15] 池本周平 (2011), "確率共鳴を生じる最小行動規範", In ロボティクスフォーラム2011.
BibTeX:
@conference{ikemoto2011rule_ja,
  author = {池本周平},
  title = {確率共鳴を生じる最小行動規範},
  booktitle = {ロボティクスフォーラム2011},
  year = {2011}
}
[14] 田中一敏, 池本周平 and 細田耕 (2011), "両眼視差最小化に基づくボトムアップ型注視", In 日本機械学会ロボティクス・メカトロニクス講演会.
BibTeX:
@conference{tanaka2011focus_ja,
  author = {田中一敏 and 池本周平 and 細田耕},
  title = {両眼視差最小化に基づくボトムアップ型注視},
  booktitle = {日本機械学会ロボティクス・メカトロニクス講演会},
  year = {2011}
}
[13] ダーラリベラ・ファビオ, 池本周平, 港隆史, 石黒浩 and メネガッティ・エマヌエレ (2010), "大腸菌の走化性に基づいたロボット制御", In 日本機械学会ロボティクス・メカトロニクス講演会.
BibTeX:
@conference{dallalibera2010control_ja,
  author = {ダーラリベラ・ファビオ and 池本周平 and 港隆史 and 石黒浩 and メネガッティ・エマヌエレ},
  title = {大腸菌の走化性に基づいたロボット制御},
  booktitle = {日本機械学会ロボティクス・メカトロニクス講演会},
  year = {2010}
}
[12] 池本周平, ダーラリベラ・ファビオ, メネガッティ・エマヌエレ and 石黒浩 (2010), "2値評価に基づくランダムウォークを利用した学習データのサンプリング", In 日本機械学会ロボティクス・メカトロニクス講演会.
BibTeX:
@conference{ikemoto2010sampling_ja,
  author = {池本周平 and ダーラリベラ・ファビオ and メネガッティ・エマヌエレ and 石黒浩},
  title = {2値評価に基づくランダムウォークを利用した学習データのサンプリング},
  booktitle = {日本機械学会ロボティクス・メカトロニクス講演会},
  year = {2010}
}
[11] 池本周平 and 石黒浩 (2009), "生体ゆらぎを規範とした進化的プログラミング手法の提案", In 日本機械学会ロボティクス・メカトロニクス講演会.
BibTeX:
@conference{ikemoto2009yuragi,
  author = {池本周平 and 石黒浩},
  title = {生体ゆらぎを規範とした進化的プログラミング手法の提案},
  booktitle = {日本機械学会ロボティクス・メカトロニクス講演会},
  year = {2009}
}
[10] 清水俊彦, 池本周平, 港隆史 and 石黒浩 (2009), "運動のコツを利用した状態評価に基づく評価関数の改善手法", In 第52回自動制御連合講演会.
BibTeX:
@conference{shimizu2009motor_ja,
  author = {清水俊彦 and 池本周平 and 港隆史 and 石黒浩},
  title = {運動のコツを利用した状態評価に基づく評価関数の改善手法},
  booktitle = {第52回自動制御連合講演会},
  year = {2009}
}
[9] 池本周平, ベンアモル・ヘニ, 港隆史 and 石黒浩 (2009), "物理的な人間 ロボット間インタラクションを利用した柔軟関節ロボットの運動学習", In 第52回自動制御連合講演会.
BibTeX:
@conference{ikemoto2009motor_ja,
  author = {池本周平 and ベンアモル・ヘニ and 港隆史 and 石黒浩},
  title = {物理的な人間 ロボット間インタラクションを利用した柔軟関節ロボットの運動学習},
  booktitle = {第52回自動制御連合講演会},
  year = {2009}
}
[8] 池本周平, ベン・アモルヘニ, 港隆史, 石黒浩 and ユングバーンハード (2009), "物理的な人間 ロボット間インタラクションを利用した柔軟関節ロボットの運動学習", In 第27回日本ロボット学会学術講演会.
BibTeX:
@conference{ikemoto2009physical_ja,
  author = {池本周平 and ベン・アモルヘニ and 港隆史 and 石黒浩 and ユングバーンハード},
  title = {物理的な人間 ロボット間インタラクションを利用した柔軟関節ロボットの運動学習},
  booktitle = {第27回日本ロボット学会学術講演会},
  year = {2009}
}
[7] 池本周平, Liebscher A, Amor HB, Jung B and 石黒浩 (2008), "複数タスクの逐次学習に注目した適応構造Cascade Correlation アルゴリズムの提案", In 第26回日本ロボット学会学術講演会.
BibTeX:
@conference{ikemoto2008cascade_ja,
  author = {池本周平 and Andre Liebscher and Heni Ben Amor and Bernhard Jung and 石黒浩},
  title = {複数タスクの逐次学習に注目した適応構造Cascade Correlation アルゴリズムの提案},
  booktitle = {第26回日本ロボット学会学術講演会},
  year = {2008}
}
[6] 池本周平, 港隆史 and 石黒浩 (2008), "物理的接触を伴う動作教示による技能習得過程の解析", In ロボティクス・シンポジア.
BibTeX:
@conference{ikemoto2008physical_ja,
  author = {池本周平 and 港隆史 and 石黒浩},
  title = {物理的接触を伴う動作教示による技能習得過程の解析},
  booktitle = {ロボティクス・シンポジア},
  year = {2008},
  note = {Reviewed}
}
[5] 池本周平, 港隆史 and 石黒浩 (2008), "物理的接触を伴う人間 ロボット間インタラクションの解析", In 日本赤ちゃん学会第8回学術集会.
BibTeX:
@conference{ikemoto2008physical_ja,
  author = {池本周平 and 港隆史 and 石黒浩},
  title = {物理的接触を伴う人間 ロボット間インタラクションの解析},
  booktitle = {日本赤ちゃん学会第8回学術集会},
  year = {2008}
}
[4] 池本周平, Amor HB, 港隆史, 石黒浩 and Jung B (2007), "空気圧駆動ロボットのオンライン学習とオフライン学習", In 第25回日本ロボット学会学術講演会.
BibTeX:
@conference{ikemoto2007learning,
  author = {池本周平 and Heni Ben Amor and 港隆史 and 石黒浩 and Bernhard Jung},
  title = {空気圧駆動ロボットのオンライン学習とオフライン学習},
  booktitle = {第25回日本ロボット学会学術講演会},
  year = {2007}
}
[3] 池本周平, 港隆史 and 石黒浩 (2007), "柔軟関節ヒューマノイドロボットを用いた物理的な対人インタラクションの解析", In 情報処理学会関西支部大会,環境知能研究会.
BibTeX:
@conference{ikemoto2007analysis_ja,
  author = {池本周平 and 港隆史 and 石黒浩},
  title = {柔軟関節ヒューマノイドロボットを用いた物理的な対人インタラクションの解析},
  booktitle = {情報処理学会関西支部大会,環境知能研究会},
  year = {2007}
}
[2] 池本周平, 港隆史 and 石黒浩 (2006), "空気圧アクチュエータの特性を考慮したアンドロイドの運動学習", In 情報処理学会関西支部大会,環境知能研究会.
BibTeX:
@conference{ikemoto2006learning_ja,
  author = {池本周平 and 港隆史 and 石黒浩},
  title = {空気圧アクチュエータの特性を考慮したアンドロイドの運動学習},
  booktitle = {情報処理学会関西支部大会,環境知能研究会},
  year = {2006}
}
[1] Amor HB, Ikemoto S, Minato T and Ishiguro H (2006), "Learning Android Robot Control using Growing Neural Network", In 日本機械学会ロボティクス・メカトロニクス講演会.
BibTeX:
@conference{amor2006learning,
  author = {Heni Ben Amor and Shuhei Ikemoto and Takashi Minato and Hiroshi Ishiguro},
  title = {Learning Android Robot Control using Growing Neural Network},
  booktitle = {日本機械学会ロボティクス・メカトロニクス講演会},
  year = {2006}
}


受賞

論文賞

  1. Shuhei Ikemoto, Heni Ben Amor, Takashi Minato, Hiroshi Ishiguro, Bernhard Jung, "Physical Interaction Learning: Behavior Adaptation in Cooperative Human-Robot Tasks Involving Physical contact", IEEE RO-MAN 2009, 2009

    CoTeSys Cognitive Human-Robot Interaction Best Paper Award.


  2. Heni Ben Amor, Shuhei Ikemoto, Takashi Minato, Hiroshi Ishiguro, Bernhard Jung, "A Neural Framework for Robot Motor Learning based on Memory Consolidation", International Conference on Adaptive and Natural Computing Algorithms, 2007.

    Best Young Researcher Paper Award.

発表賞

  1. 池本周平, "物理的な人間−ロボット間インタラクションを利用した柔軟関節ロボットの運動学習", 第52回自動制御連合講演会,2009

    優秀発表賞

  2. Tomoyuki Noda, Shuhei Ikemoto, Daniel Quevedo, Toshihiko Shimizu, Hidenobu Sumioka, Hisashi Ishihara, Yuki Sasamoto, Yuichiro Yoshikawa, Takashi Minato, Hiroshi Ishiguro, Minoru Asada, "CB2: Child Robot with Biomimetic Body", AAAI-08 AI Video Competition, Chicago, 2008.7.13. AAAI-08 AI Video Competition, Best Video Award Nominee (as 2 Finalists)

  3. Tomoyuki Noda, Shuhei Ikemoto, Daniel Quevedo, Toshihiko Shimizu, Hidenobu Sumioka, Hisashi Ishihara, Yuki Sasamoto, Yuichiro Yoshikawa, Takashi Minato, Hiroshi Ishiguro and Minoru Asada, "CB2: Child Robot with Biomimetic Body", The 2008 ECSIS Symposium on Learning and Adaptive Behavior in Robotic Systems. LABRS Best Vide Award