English / Japanese

Last updated: Feb 2024


Publications


Journal Papers

  1. N. Miyazawa, D. Kato, Y. Kobayashi, K. Hara and D. Usui, Optimal action selection to estimate the aperture of bag by force-torque sensor, Advanced Robotics, Vol. 38, No. 2, 95-111, 2024.
  2. S. Nakamura, Y. Kobayashi and T. Matsuura, Grid-Based Estimation of Transformation Between Partial Relationships Using a Genetic Algorithm, Journal of Robotics and Mechatronics, Vol. 34, No. 4, pp. 786-794, 2022.
  3. Y. Kobayashi, T. Sugimoto, K. Tanaka, Y. Shimomura, F. G. Arjonilla, C. H. Kim, H. Yabushita, T. Toda, Robot navigation based on predicting of human interaction and its reproducible evaluation in a densely crowded environment, International Journal of Social Robitcs, https://doi.org/10.1007/s12369-021-00791-9, 15 pages, 2021.
  4. F. G. Arjonilla and Y. Kobayashi, Supervised learning of mapping from sensor space to chained form for unknown non-holonomic driftless systems, Intustrial Robot, https://doi.org/10.1108/IR-10-2020-0221, 2021.
  5. M. A. Bekhti and Y. Kobayashi, Regressed Terrain Traversability Cost for Autonomous Navigation Based on Image Textures, Applied Science, Vol. 10, No. 4, 1195, 2020.
  6. Y. Kobayashi, K. Harada and K. Takagi, Automatic Controller Generation Based on Dependency Network of Multi-modal Sensor Variables for Musculoskeletal Robotic Arm, Robotics and Autonomous Systems, Vol. 118, pp. 55-65, 2019.
  7. Y. Kobayashi, M. Kondo, Y. Hiramatsu, H. Fujii and T. Kamiya, Action Decision of Mobile Robot Unmanned Ground Vehicle Based on Offline Simulation for Navigation in Uneven Terrain Environment, Journal of Robotics and Mechatronics, Vol. 30, No. 4, pp. 671-682, 2018.
  8. Y. Miyazaki, T. Hirano, T.i Kobayashi, Y. Imai, S. Usuki, Y. Kobayashi, K.i Terabayashi, K. T. Miura, Acquisition of Disaster Emergency Information Using a Terrain Database by Flying Robots, Journal of Robotics and Mechatronics, Vol. 30, No. 3, pp. 443-452, 2018.
  9. Y. Kobayashi and R. Matsui, Manifold Learning Approach toward Constructing State Representation for Robot Motion Generation , Transactions on Computational Collective Intelligence XXIV, Volume 9770 of the series Lecture Notes in Computer Science, pp. 101-116, 2016.
  10. D. Kawakami, K. Makino, Y. Kobayashi, T. Kaneko, A. Yamashita, H. Asama, Projector Camera System Presenting Color Information for Color Vision Deficiency, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 20, No. 1, 2016 (in print)
  11. Y. Kobayashi, Y. Ohshima, T. Kaneko, A. Yamashita, Meal Support System with Spoon Using Laser Range Finder and Manipulator, International Journal of Robotics and Automation, DOI: 10.2316/Journal.206.2016.3.206-4342.
  12. M. Gouko, Y. Kobayashi, C. H. Kim, Online exploratory behavior acquisition model based on reinforcement learning, Applied Intelligence, DOI: 10.1007/s10489-014-0567-4, Springer, 2014.
  13. M. Awai, A. Yamashita, T. Shimizu, T. Kaneko, Y. Yuichi, Development of Mobile Robot System Equipped with Camera and Laser Range Finder Realizing HOG-Based Person Following and Autonomous Returning, Journal of Robotics and Mechatronics, Vol. 26, No. 1, pp. 68-77, 2014.
  14. M. Gouko and Y. Kobayashi, A state representation model for robots unaffected by environmental changes, International Journal of Social Robotics, DOI: 10.1007/s12369-012-0164-9, Vol. 5, No.1, 117-125, 2012.
  15. Y. Kobayashi, E. Kurita and M. Gouko, Integration of Multiple Sensor Spaces with Limited Sensing Range and Redundancy, International Journal of Robotics and Automation, DOI: 10.2316/Journal.206.2013.1.206-3641, 2012. Vol. 28, No. 1, pp. 31-41, 2013.
  16. Y. Kobayashi, Y. Sato and M. Gouko, Division of iterative-transportation based on local observation by multiple mobile robots, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.16, No.3, pp. 462-468, 2012.
  17. Y. Kobayashi, T. Okamoto and M. Onishi, Generation of Obstacle Avoidance Based on Image Features and Embodiment, International Journal of Robotics and Automation, Vol. 27, No. 4, 364-376, 2012.
  18. Y. Kobayashi and S. Hosoe, Cooperative Enclosing and Grasping of an Object by Decentralized Mobile Robots Based on Local Observation, International Journal of Social Robotics, DOI: 10.1007/s12369-011-0118-7, 2011.
  19. Yuichi Kobayashi, Masaki Onishi, Shigeyuki Hosoe and Zhiwei Luo, Multi-tasking Arbitration and Behaviour Design for Human Interactive Robots, International Journal of Systems Science, DOI:10.1080/00207721.2011.625477, 2012.
  20. Yuichi Kobayashi and Takahiro Nomura, Learning of obstacle avoidance with redundant manipulator by hierarchical SOM, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.15, No. 5, 525-531, 2011.
  21. Yuichi Kobayashi and Shigeyuki Hosoe, Planning-Space Shift Motion Generation: Variable-space Motion Planning Toward Flexible Extension of Body Schema, Journal of Intelligent and Robotic Systems, volume 62, issue 3-4, 2011. DOI: 10.1007/s10846-010-9465-0
  22. Nobuyuki Kawarai and Yuichi Kobayashi, Learning of whole arm manipulation with constraint of contact mode maintaining, Journal of Robotics and Mechatronics, Vol. 22, No.4, 542-550 , 2010.
  23. Yuichi Kobayashi, Kyouji Otsubo and Shigeyuki Hosoe, Design of Decentralized Capturing Behavior by Multiple Mobile Robots, International Transactions on Systems Science and Applications, Vol. 3, No. 3, 203-210, 2007.

(written in Japanese)

  1. H. Ibe, S. Ishikawa, Y. Kobayashi, T. Kaneko, S. Ishihara and A. Yamashita, Another view point image generation with shifted perspective using two in-vehicle camera images for car navigation system based on vehicular ad-hoc networks, Journal of the Japan Society for Precision Engineering, Vol. 84, No. 4, pp. 356-363, 2018.
  2. H. Ibe, Y. Kobayashi, T. Kaneko and A. Yamashita, Three-Dimensional Measurement of Underwater Objects in a Rectangular Vessel by Using Bi-Path Stereoscopy, Journal of the Japan Society for Precision Engineering, in print, 2015.
  3. Manabu Gouko, Yuichi Kobayashi and Chyon Hae Kim, Learning of Exploratory Behaviors for Object Recognition Using Reinforcement Learning, Transactions of the Japanese Society of Artificial Intelligence, Vol.29, No.1, pp.120-128, 2014.
  4. Hirotoshi Ibe, Atsushi Yamashita, Toru Kaneko and Yuichi Kobayashi, Three Dimensional Measurement of Submerged Objects in Transparent Vessels Using a Manipulator-mounted Laser Range Finder, The Journal of The Institute of Image Information and Television Engineers, Vol. 67, No. 11, pp. 1-9, Nov. 2013.
  5. Kenji Sunaga, Yuichi Kobayashi, Toru Kaneko, Yuji Hiramatsu, Hokuto Fujii, Tsuyoshi Kamiya, Journal of the Japan Society for Precision Engineering, Terrain Classification for Unmanned Ground Vehicle in Off-Road Environment, Vol. 79, No. 11, pp. 1117-1123, Nov. 2013.
  6. Tatsuya Naruse, Atsuchi Yamashita, Toru Kaneko and Yuichi Kobayashi, 3D Measurement of Objects in Water Using Fish-eye Stereo Camera, Journal of the Japan Society for Precision Engineering, Vol. 79, No. 4, pp. 344-348, Apr. 2013.
  7. Eisuke Kurita, Yuichi Kobayashi and Manabu Gouko, Motion Generation by Integrating Multiple Sensor Information with Limited Observational Range, Transactions of the Society of Instrument and Control Engineers, Vol. 47, No. 4,pp. 191-199, Apr. 2011.
  8. Manabu Gouko and Yuichi Kobayashi, State Representation with Perceptual Constancy Based on an Active Movement, IEICE Transactions on Information and Systems (Japanese Edition), Vol. J94-D, No. 5, 2011.
  9. Takahiro Asamizu and Yuichi Kobayashi, Learning of Object Manipulation by Estimation of Reachable Region and Constraint Region Based on Object Extraction from Image, Journal of Robotics Society of Japan, Vol.29, No. 2, 172-183, 2011.
  10. Taichi Okamoto, Yuichi Kobayashi, Masaki Onishi, Acquisition of Image Feature on Collision for Robot Motion Generation, Journal of Robotics Society of Japan, Vol.28, No. 10, pp.1213-1222, 2010.
  11. Hakaru Tamukoh, Ryosuke Kurogi, Kentaro Hanai, Masashi Watanabe, Soichiro Matsushita, Yuichi Kobayashi, Masatoshi Sekine, Internet Booster: A Novel Web Application Employing Network Deliverable hw/sw Complex System, IEICE Transactions on Information and Systems (Japanese Edition) Vol. J93-D, No.10, pp.2139-2147, 2010.
  12. Yuichi Kobayashi, Masaki Onishi, Shigeyuki Hosoe, Zhiwei Luo, "Approach to Parallel Tasks of Human-interacting Robot using Optimization,'' Journal of Robotics Society of Japan, Vol. 27, No. 10, 1132-1143, 2009.
  13. Yuichi Kobayashi, Kyouji Otsubo and Shigeyuki Hosoe: "Autonomous Decentralized Control of Capturing Behavior by Multiple Mobile Robots", Transactions of the Society of Instrument and Control Engineers, Vol.43, No.8, pp.663-671, (2007).
  14. Yuichi Kobayashi, Masato Kato, and Shigeyuki Hosoe: "Optimizing Resolution for Feature Extraction in Robotic Motion Learning", Journal of Robotics Society of Japan, Vol.25, No.5, pp.770-778, (2007).
  15. Yuichi Kobayashi, Hiroki Fujii and Shigeyuki Hosoe, ``Reinforcement learning for object manipulation using low-dimensional mapping,'' Transactions of the Society of Instrument and Control Engineers, Vol.42, No.7, 814-821, 2006.
  16. Ryuichi Ueda, Takeshi Fukase, Yuichi Kobayashi, Tamio Arai and Shogo Kamiya: ``Lossy Compression of Deterministic Policy Map with Vector Quantization,'' Journal of the Robotics Society of Japan, Vol.23, No.1, pp.104-112, 2005.
  17. Yuichi Kobayashi, Hideo Yuasa, Shigeyuki Hosoe, ``Hyper Cubic Function Approximation for Reinforcement Learning Based on Autonomous-Decentralized Algorithm,'' Transactions of the Society of Instrument and Control Engineers, Vol. 40, No. 8, 849-858, 2004.
  18. Yuichi Kobayashi, Takeshi Fukase, Ryuichi Ueda, Hideo Yuasa, Tamio Arai, ``Design of Quadruped Robot Soccer Behavior Considering Observational Cost,'' Journal of the Robotics Society of Japan, Vol. 21, No.7, 802-810, 2003
  19. Yuichi Kobayashi, Hideo Yuasa, Tamio Arai, ``Function Approximation for Reinforcement Learning Using Autonomous-Decentralized Algorithm,'' Transactions of the Society of Instrument and Control Engineers, Vol. 38, No. 2, 219-226, 2002.
  20. Yuichi Kobayashi, Jun Ota, Kousuke Inoue, Tamio Arai, ``State and Action Space Construction Using Vision Information,'' Transactions of the Society of Instrument and Control Engineers, Vol. 36, No. 11, 1029-1036, 2000.

International Conference Proceedings (Reviewed)

  1. D. Kato, Y. Kobayashi, N. Miyazawa, K. Hara and D. Usui, Efficient Sample Collection to Construct Observation Models for Contact-Based Object Pose Estimation, Proc. of IEEE/SICE International Symposium on System Integration, 2024 (accepted).
  2. R. Tsuchiya and Y. Kobayashi, Evaluation of Confidence-Aware Prediction of Uneven Terrain Risk for Self-Supervised Learning by a Mobile Robot, Proc. of IEEE/SICE International Symposium on System Integration, 2024 (accepted).
  3. H. Yagi, Y. Kobayashi, D. Kato, N. Miyazawa, K. Hara and D. Usui, Object Pose Estimation Using Soft Tactile Sensor Based on Manifold Particle Filter with Continuous Observation, Proc. of IEEE/SICE International Symposium on System Integration, pp. 1-6, 2023.
  4. W. Xiang, Y. Kobayashi and S. Azuma, Self-Supervised Learning Approach under Controller’s Instruction for 3D Line Segment-Based Recognition of Semi-Unstructured Environment, Proc. of IEEE/SICE International Symposium on System Integration, pp. 1-6, 2023.
  5. D. Kato, H. Yagi, Y. Kobayashi, N. Miyazawa, K. Hara and D. Usui, Contact motion selection for flexible object opening position estimation by tactile information, Proc. of ISCIE International Symposium on Stochastic Systems Theory and Its Applications, Nara, Japan, 2022. (non-reviewed proceeding)
  6. K. Nakahara and Y. Kobayashi, Automatic Generation of Feedback Stabilizable State Space for Non-holonomic Mobile Robots, Proc. of International Conference on Image Processing and Robotics, 2022.
  7. S. Tanaka, W. Xiang and Y. Kobayashi, Domain Knowledge-Based Automatic Parameter Selection for 2D/3D Line Segment Detection in Semi-Unstructured Environment, Proc. of IEEE/SICE International Symposium on System Integration, pp. 1003-1008, 2022.
  8. S. Nakamura and Y. Kobayashi, A Grid-Based Estimation of Transformation of Partial Dynamics using Genetic Algorithm for Motor Learning, Proc. of The 32nd 2021 International Symposium on Micro-NanoMechatronics and Human Science, MP2-2-3, 2021.
  9. S. Tanaka and Y. Kobayashi, An unsupervised learning approach toward automatic selection of recognition parameters for mobile robot navigation in less structured environments, Proc. of IEEE/SICE International Symposium on System Integration, pp. 6-11, 2021.
  10. A. Choudhary, Y. Kobayashi, F. Arjonilla, S. Nagasaka, and M. Koike, Evaluation of mapping and path planning for non-holonomic mobile robot navigation in narrow pathway for agricultural application, Proc. of IEEE/SICE International Symposium on System Integration, pp. 17-22, 2021. DOI: 10.1109/IEEECONF49454.2021.9382767
  11. Y. Kaneta, N. Segawa, Y. Kobayashi and C. H. Kim, Study on intelligent brake when vehicle rides on convex road surface, Proc. of IEEE/SICE International Symposium on System Integrations, DOI: 10.1109/SII.2019.8700338, 2019.
  12. F. J. Arjonilla and Y. Kobayashi, Definition of intelligence with linear orders for ontologies, Workshop in IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018.
  13. K. Harada and Y. Kobayashi, Estimation of structure and physical relations among multi-modal sensor variables for musculoskeletal robotic arm, Proc. of IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2017 (accepted).
  14. H. Kubota and Y. Kobayashi, Probabilistic state estimation using force sensor information in contact motion of arm robot, Proc. of IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2017 (accepted).
  15. Y. Kobayashi, T. Matsumoto, W. Takano, D. Wollherr and V. Gabler, Motion recognition by natural language including success and failure of tasks for co-working robot with human, Proc. of IEEE International Conference on Advanced Intelligent Mechatronics, pp. 10-15, 2017.
  16. S. Matsunaga, Y. Kobayashi, K. Matsumura and C. H. Kim, Motion Planning of Mobile Robot Considering Velocity-Dependent Cost and Time, Proc. of IEEE International Conference on Robotics and Biomimetics, pp. 619-624, 2016.
  17. S. Watanabe and Y. Kobayashi, Bottom-up construction of state representation for humanoid robot based on behavior of image feature, Proc. of International Conference on Intelligent Informatics and BioMedical Sciences, pp. 184-189, 2015.
  18. M. A. Bekhti and Y. Kobayashi, Prediction of Vibrations as a Measure of Terrain Traversability in Outdoor Structured and Natural Environments, Proc. of 7th Pacific Rim Symposium on Image and Video Technology, Oral3-4, 2015.
  19. K. Matsumura, M. A. Bekhti and Y.i Kobayashi, Prediction of motion over traversable obstacles for autonomous mobile robot based on 3D reconstruction and running information, Proc. of The 6th International Conference on Advanced Mechatronics, p. 205 (1P2-14), 2015.
  20. S. Ishikawa, Y. Kobayashi, T. Kaneko, S. Ishihara, A. Yamashita, A study on image generation by shifted perspective by two in-vehicle camera images, Proc. of International Workshop on Advanced Image Technology 2015 (IWAIT2015), No. 461, January 2015, Tainan,Taiwan.
  21. T. Inaba and Y. Kobayashi, Extraction of dynamics-correlated factors from image featuresin pushing motion of a mobile robot, Proc. of International Joint Conference on Computational Intelligence, 310-315, Oct. 2014, Rome, Italy.
  22. Takahiro Saito, Yuichi Kobayashi and Tatsuya Naruse, Planning of pushing manipulation by a mobile robot considering cost of recovery motion, Proc. of International Joint Conference on Computational Intelligence, 322-327, Oct. 2014, Rome, Italy.
  23. M. Kondo, K. Sunaga, Y. Kobayashi, Y. Hiramatsu, H. Fujii, T. Kamiya, Path Selection Based on Local Terrain Feature for Unmanned Ground Vehicle in Unknown Rough Terrain Environment, Proc. of IEEE Int. Conf. on Robotics and Biomimetics, pp. 1977-1982 2013, 2013.
  24. D. Kawakami, K. Makino, Y. Kobayashi, T. Kaneko, A. Yamashita and H. Asama, Projector Camera System Presenting Color Information for Color Vision Deficiency, Proc. of International Conference on Simulation Technology, Sep. 2013, Tokyo, Japan.
  25. Y. Kobayashi, R. Matsui and T. Kaneko, Manifold Learning Approach toward Image Feature-based State Space Construction, Proc. of International Joint Conference on Computational Intelligence, pp. 529-534, Sep. 2013, Algarve, Portugal.
  26. M. Gouko, Y. Kobayashi and C. H. Kim. Online exploratory behavior acquisition of mobile robot based on reinforcement learning, Proc. of the 26th Int. Conf. on Industrial Engineering & Other Applications of Applied Intelligent Systems, (also listed in book chapter)(Best Paper Nomination)
  27. Hirotoshi Ibe, Atsushi Yamashita, Toru Kaneko and Yuichi Kobayashi: "3D Measurement of Transparent Vessel and Submerged Object Using Laser Range Finder", Proceedings of the International Workshop on Advanced Image Technology 2013 (IWAIT2013), Nagoya (Japan), January 2013.
  28. Fumiya Tsurumi, Yuichi Kobayashi, Toru Kaneko and Atsushi Yamashita: "Removal of Reflection from Nightscape Parallel Stereo Images of Distant View through Window", Proceedings of the International Workshop on Advanced Image Technology 2013 (IWAIT2013), Nagoya (Japan), January 2013.
  29. Masato Kondo, Atsushi Yamashita, Toru Kaneko and Yuichi Kobayashi: "Control of Mobile Robot Equipped with Stereo Camera Using the Number of Fingers", Proceedings of the International Workshop on Advanced Image Technology 2013 (IWAIT2013), Nagoya (Japan), January 2013.
  30. Yutaro Ohshima, Yuichi Kobayashi, Toru Kaneko, Atsushi Yamashita and Hajime Asama: "Meal Support System with Spoon Using Laser Range Finder and Manipulator", Proceedings of the 2013 IEEE Workshop on Robot Vision (WoRV2013), Clearwater Beach (U.S.A.), January 2013.
  31. Takayuki Somei, Yuichi Kobayashi, Akinobu Shimizu and Toru Kaneko, " Clustering of Image Features Based on Contact and Occlusion among Robot Body and Objects", Proceedings of the 2013 IEEE Workshop on Robot Vision (WoRV2013), Clearwater Beach (U.S.A.), January 2013.
  32. Manabu Gouko, Yuichi Kobayashi, Chyon Hae Kim, "Reinforcement learning for discernment behavior acquisition," Proceedings of 2012 IEEE International Conference on Robotics and Biomimetics (ROBIO2012), Guangzhou, China, (2012-12).
  33. K. Watanabe, R. Kawanishi, A. Yamashita, Y. Kobayashi, T. Kaneko and H. Asama: "Mobile Robot Navigation in Textureless Unknown Environment Based on Plane Estimation by Using Single Omni-directional Camera", Proceedings of the 2012 IEEE/SICE International Symposium on System Integration (SII2012), Fukuoka (Japan), December 2012
  34. S. Uematsu, Y. Kobayashi, A. Shimizu, T. Kaneko, Prediction of object manipulation using tactile sensor information by a humanoid robot, Proc. of IEEE Int. Symposium on Robotic and Sensors Environments, 37-42, Magdeburg (Germany), Nov. 2012.
  35. T. Sekiguchi, Y. Kobayashi, A. Shimizu, T. Kaneko, Online learning of optimal robot behavior for object manipulation using mode switching, Proc. of IEEE Int. Symposium on Robotic and Sensors Environments, 61-66, Nov. 2012. Magdeburg, Germany
  36. (without review) Y. Kobayashi, E. Kurita and M. Gouko, Building Subjective Spatial Perception Based on Sensor Space Integration for Motion Generation, Proc. of IEEE ICDL-EPIROB 2011, August, 2011. Frankfurt, Germany
  37. M. Gouko and Y. Kobayashi, A State Representation Unaffected by Environmental Changes, Proc. of the 15th International Conference on Advanced Robotics, 396-401, 2011. Tallinn, Estonia, (2011-6).
  38. Eisuke Kurita, Yuichi Kobayashi, Manabu Gouko, Motion Generation by Integration of Multiple Observation Spaces for Robots with Limited Range of Observation, 2011 International Conference on Control, Robotics and Cybernetics, Vol.1, 86-90, 2011.
  39. Yuta Sato, Yuichi Kobayashi, Manabu Gouko, Division of Iterative-transportation Based on State Estimation Using Local Observation, 2011 International Conference on Control, Robotics and Cybernetics, Vol.1, 187-191, 2011.
  40. Yuta Sato and Yuichi Kobayashi, ``Division of labor by decentralized mobile robots in cooperative iterative-transportation,'' Proceedings of International Symposium on Robots and Intelligent Sensors, 109-112, 2010.
  41. Nobuyuki Kawarai and Yuichi Kobayashi, ``Acquisition of whole-arm manipulation with restriction of action space caused by contact modes,'' Proceedings of International Symposium on Robots and Intelligent Sensors, 83-88, 2010.
  42. Hakaru Tamukoh, Kentaro Hanai, Ryosuke Kurogi, Soichiro Matsushita, Masashi Watanabe, Yuichi Kobayashi, and Masatoshi Sekine, Internet Booster: A Networked Hw/Sw Complex System and Its Application to Hi-Performance WEB Application, Proc. of World Automation Congress (WAC2010), 7th International Forum on Multimedia and Image Processing, 2010.
  43. Manabu Gouko and Yuichi Kobayashi, State representation with perceptual constancy based on active motion, International conference on social robotics, 2010.
  44. Takahiro Asamizu and Yuichi Kobayashi, ``Acquisition of image feature on collision for robot motion generation,'' 9th Int. Conf. on Intelligent Systems Design and Applications, 1312-1317, 2009.
  45. Taichi Okamoto, Yuichi Kobayashi and Masaki Onishi, ``Acquisition of Body and Object Representation Based on Motion Learning and Planning Framework,'' 9th Int. Conf. on Intelligent Systems Design and Applications, 737-742, 2009.
  46. Yuichi Kobayashi and Shigeyuki Hosoe, ``Planning-Space Shift Learning: Variable-space Motion Planning toward Flexible Extension of Body Schema,'' Proc. of IEEE/RSJ Int. Conf. on Intelligent Robot and Systems, 373-379, 2009.
  47. Yuichi Kobayashi, Masaki Onishi, Shigeyuki Hosoe, Zhiwei Luo, ``Behavior Design of A Human-interactive Robot through Parallel Tasks Optimization,'' Proc. of the 9th International Symposium on Distributed Autonomous Robotic Systems  (DARS2008), (to appear)
  48. Yuichi Kobayashi, Masashi Shibata, Shigeyuki Hosoe and Yoji Uno, ``Learning of Object Manipulation with Stick/Slip Mode Switching,'' Proc. of IEEE/RSJ 2008 Int. Conf. on Intelligent Robot and Systems, (to appear), 2008.
  49. Yuichi Kobayashi, Maski Onishi, Shigeyuki Hosoe and Zhiwei Luo, ``Behavior Design of Human-interactive Robot by Stochastic Petri-net and Optimal Control,'' Proc. of IEEE SMC International Conference on Distributed Human-Machine Systems 2008, 69-76, 2008.
  50. Yuichi Kobayashi and Shigeyuki Hosoe, ``Planning-Space Shift Learning toward Flexible Hierarchy Generation,'' Proc. of the Seventh Int. Conf. on Epigenetic Robotics, 61-68, 2007.
  51. Yuichi Kobayashi, Kyouji Otsubo and Shigeyuki Hosoe, ``Design of Decentralized Capturing Behavior by Multiple Mobile Robots,'' IEEE 2006 Workshop on Distributed Intelligent Systems, 13-18, 2006.
  52. Yuichi Kobayashi, Hiroki Fujii and Shigeyuki Hosoe, ``Reinforcement Learning for Manipulation Using Constraint between Object and Robot,'' IEEE Int. Conf. on Systems, Man & Cybernetics, Hawaii USA., 871-876, 2005.
  53. Masato Kato, Yuichi Kobayashi and Shigeyuki Hosoe, ``Optimizing Resolution for Feature Extraction in Robotic Motion Learning ,'' IEEE Int. Conf. on Systems, Man & Cybernetics, Hawaii USA, 1086-1091, 2005.
  54. Yuichi Kobayashi and Shigeyuki Hosoe, ``Motion Planning with Multiple Resolutions: Integration of Evaluation Space,'' IEEE Int. Conf. on Systems, Man & Cybernetics, Hague, Netherland, 750-755, 2004.
  55. Yuichi Kobayashi and Shigeyuki Hosoe, ``Self-organization of Evaluation Space using State Discretization Resolution,'' IEEE Int. Conf. on Intelligent Robot and Systems, Sendai, Japan, 1756-1761, 2004.
  56. Yuichi Kobayashi and Shigeyuki HOSOE, ``Hyper-Cubic Discretization in Reinforcement Learning Based on Autonomous Decentralized Approach,'' IEEE Int. Conf. on Systems, Man & Cybernetics, Washington D.C. USA, 3633-3638, 2003.
  57. Ryuichi Ueda, Takeshi FUKASE, Yuichi KOBAYASHI and Tamio ARAI. ``Vector Quantization for State-Action Map Compression,'' Proc. of Int. Conf. on Robotics and Automation 2003, Taipei, Taiwan, 2356-2361, 2003.
  58. Yuichi KOBAYASHI and Shigeyuki HOSOE, ``Adaptive Resolution Function Approximation for TD-learning: Simple Division and Integration,'' Proc. of SICE Annual Conference 2003, Fukui, Japan, 3023-3028, 2003.
  59. Yuichi KOBAYASHI, Hideo YUASA and Shigeyuki HOSOE, ``Q-learning with Adaptive Resolution Function Approximation based on Graph,'' Proc. of the ICASE/SICE Workshop: Intelligent Control and Systems, Muju, Korea, 79-84, 2002.
  60. Yuichi Kobayashi, Hideo Yuasa, and Tamio Arai, ``Function Approximation for Reinforcement Learning Based on Reaction-Diffusion Equation on a Graph,'' Proc. of SICE Annual Conference 2002, Osaka, Japan, 916-921, 2002.
  61. Ryuichi Ueda, Takeshi Fukase, Yuichi Kobayashi, Tamio Arai, Hideo Yuasa, and Jun Ota, ''Uniform Monte Carlo Localization - Fast and Robust Self-localization Method for Mobile Robots,'' Proc. of International Conference on Robotics and Automation, 1353-1358, 2002.
  62. Takeshi Fukase, Yuichi Kobayashi, Ryuichi Ueda, Takanobu Kawabe and Tamio Arai, ``Real-time Decision Making under Uncertainty of Self-Localization Results,’’ The 2002 International RoboCup Symposium Pre-Proceedings, 372-379, 2002.
  63. Takeshi FUKASE, Masahiro YOKOI, Yuichi KOBAYASHI, Hideo YUASA and Tamio ARAI, ``Quadruped Robot Navigation Considering the Observational Cost,'' Andreas Birk, Silvia Coradeschi and Satoshi Tadokoro (Eds.), RoboCup 2001: Robot Soccer World Cup V, Springer, 350-355, 2002.
  64. Yuichi KOBAYASHI, Hideo YUASA and Tamio ARAI, ``Learning using multidimensional internal rewards,'' Proc. of IEEE/RSJ International Conference on Intelligent Robot and Systems, Takamatsu, Japan, 2000.
  65. Masahiro YOKOI, Yuichi KOBAYASHI, Takeshi FUKASE, Hideo YUASA and Tamio ARAI, ``Learning Self-localization with Teaching System,'' Proc. of IEEE/RSJ International Conference on Intelligent Robot and Systems, Takamatsu, Japan, 2000.
  66. Yuichi KOBAYASHI, Jun OTA, Kousuke INOUE and Tamio ARAI, ``State and Action Space Construction Using Vision Information,'' Proc. of IEEE International Conference on Systems, Man and Cybernetics, Tokyo, Japan, V447-452, 1999.

Awards

Articles

Books and Interpretations

  1. M. Gouko, Y. Kobayashi and C.H. Kim, “Online exploratory behavior acquisition of mobile robot based on reinforcement learning,” Lecture Notes in Artificial Intelligence, vol.7906, pp.272-281, 2013.
  2. M. Gouko and Y. Kobayashi, ``State Representation with Perceptual Constancy Based on Active Motion,” Lecture Notes in Computer Science, 2010, Volume 6414, Social Robotics, Pages 100-109
  3. Y. Kobayashi and S. Hosoe, ``Reinforcement learning approach to object-contact motion with estimation of low-dimensional submanifold and mode-boundary,'' V. Kordic (Eds.), Robotics 2010: Current and Future Challenges, In-tech, 85-108, 2010/2
  4. Yuichi Kobayashi, Maski Onishi, Shigeyuki Hosoe and Zhiwei Luo, ``Behavior Design of Human-interactive Robot by Stochastic Petri-net and Optimal Control,'' Vladimir Marik, Jeffrey M. Bradshaw, Joachim Meyer, William A. Gruver, Petr Benda (Eds.) Proc. of IEEE SMC International Conference on Distributed Human-Machine Systems 2008, 69-76, 2008. ISBN: 978-80-01-04027-0
  5. Yuichi Kobayashi ans Shigeyuki Hosoe, ``Planning-Space Shift Learning toward Flexible Hierarchy Generation,'' Berthouze, L., Prince, C.P., Littman, M., Kozima, H., and Balkenius, C. (Eds.) Proc. of the Seventh Int. Conf. on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems, Lund University Cognitive Studies, 134. 61-68, 2007. ISBN: 91-974741-8-5
  6. Yuichi Kobayashi, Kyouji Otsubo and Shigeyuki Hosoe, ``Design of Decentralized Capturing Behavior by Multiple Mobile Robots,'' Vladimir Marik, William A. Gruber, Miachael Pechoucek, Libor Preucil, (Eds.) IEEE 2006 Workshop on Distributed Intelligent Systems, the IEEE Computer Society, 13-18, 2006. ISBN: 0-7695-2589-X
  7. Shigeyuki Hosoe, Yuichi Kobayashi and Mikhail Svinin, ``Understanding and realization of constrained motion - human motion analysis and robotic learning approaches,'' T. Arai, R. Pfeifer, T. Balch and H. Yokoi (Eds.) Intelligent Autonomous Systems 9, IOS Press (2006) ISBN:1-58603-595-9
  8. Takeshi Fukase, Yuichi Kobayashi, Ryuichi Ueda, Takanobu Kawabe and Tamio Arai, ``Real-time Decision Making under Uncertainty of Self-Localization Results, pp. 375-383, G. A. Kaminka, P. U. Lima, R. Rojas, (Eds.) RoboCup 2002: Robot Soccer World Cup VI, LNAI 2752, Springer-Verlag (2003) ISBN: 3-540-40666-2
  9. Tamio Arai, Takeshi Fukase, Ryuichi Ueda, Yuichi Kobayashi, and Takanobu Kawabe, ``The Team Description of ARAIBO," A. Birk, S. Coradeschi, and S. Tadokoro (Eds.): RoboCup 2001: Robot Soccer World Cup V, LNAI 2377, pp. 730-733, 2002. Springer-Verlag (2002/07) ISBN: 3540439129
  10. Takeshi Fukase, Masahiro Yokoi, Yuichi Kobayashi, Ryuichi Ueda, Hideo Yuasa and Tamio Arai, ``Quadruped Robot Navigation Considering the Observational Cost," A. Birk, S. Coradeschi, and S. Tadokoro (Eds.): RoboCup 2001: Robot Soccer World Cup V, LNAI 2377, pp. 350-355, 2002. Springer-Verlag (2002/07) ISBN: 3540439129
  11. Yuichi Kobayashi, ``Team ARAIBO,'' pp.619-622, RoboCup 2000: Robot Soccer World Cup IV, Peter Stone and Tucker Balch and Gerhard K. Kraetzschmar (Eds.), Springer, Lecture Note in Artificail Intelligence (2019), ISBN: 3540421858
  12. Yuichi Kobayashi and Hideo Yuasa, ``Team ARAIBO,''pp. 758-761, RoboCup-99: Robot Soccer World Cup III (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence) Manuela Veloso, Enrico Pagello, Hiroaki Kitano (Eds.), Springer, ISBN: 3540410430
  13. R. Pfeifer, C. Scheier (Authors), Akio Ishiguro, Hiroshi Kobayashi and Koh Hosoda, ``知の創成 ---身体性認知科学への招待---,'' (原著 : R. Pfeifer, C. Scheier : Understanding Intelligence, MIT Press, (1999)), Chapter 8, 共立出版, 2001.11

Domestic Conference Papers

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