Taisuke Kobayashi

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 72

Top Topics

Reinforcement Learning

Model Predictive Control

Autonomous Driving

Top Venues

Publications

Taisuke Kobayashi
Revisiting Experience Replayable Conditions. CoRR (2024)
Songtao Liu, Jacinto Colan, Yaonan Zhu, Taisuke Kobayashi, Kazunari Misawa, Masaru Takeuchi, Yasuhisa Hasegawa
Latent regression based model predictive control for tissue triangulation. Adv. Robotics 38 (5) (2024)
Takanori Jin, Taisuke Kobayashi, Takamitsu Matsubara
Constrained footstep planning using model-based reinforcement learning in virtual constraint-based walking. Adv. Robotics 38 (8) (2024)
Taisuke Kobayashi, Takahito Enomoto
Autonomous Driving of Personal Mobility by Imitation Learning from Small and Noisy Dataset. SII (2024)
Taisuke Kobayashi, Yusuke Takeda
Autonomous Driving from Diverse Demonstrations with Implicit Selection of Optimal Mode. SII (2024)
Ryoya Mori, Tadayoshi Aoyama, Taisuke Kobayashi, Kazuya Sakamoto, Masaru Takeuchi, Yasuhisa Hasegawa
Real-Time Spatiotemporal Assistance for Micromanipulation Using Imitation Learning. IEEE Robotics Autom. Lett. 9 (4) (2024)
Takumi Aotani, Taisuke Kobayashi
Cooperative Transport by Manipulators with Uncertainty-Aware Model-Based Reinforcement Learning. SII (2024)
Taisuke Kobayashi
Revisiting experience replayable conditions. Appl. Intell. 54 (19) (2024)
Taisuke Kobayashi, Takumi Aotani
Design of restricted normalizing flow towards arbitrary stochastic policy with computational efficiency. Adv. Robotics 37 (12) (2023)
Taisuke Kobayashi, Ryoma Watanuki
Sparse representation learning with modified q-VAE towards minimal realization of world model. Adv. Robotics 37 (13) (2023)
Taisuke Kobayashi
Soft Actor-Critic Algorithm with Truly Inequality Constraint. CoRR (2023)
Taisuke Kobayashi
Intentionally-underestimated Value Function at Terminal State for Temporal-difference Learning with Mis-designed Reward. CoRR (2023)
Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Takamitsu Matsubara
AdaTerm: Adaptive T-distribution estimated robust moments for Noise-Robust stochastic gradient optimization. Neurocomputing 557 (2023)
Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Takamitsu Matsubara
Domains as Objectives: Multi-Domain Reinforcement Learning with Convex-Coverage Set Learning for Domain Uncertainty Awareness. IROS (2023)
Taisuke Kobayashi
Adaptive and multiple time-scale eligibility traces for online deep reinforcement learning. Robotics Auton. Syst. 151 (2022)
Taisuke Kobayashi
Optimistic reinforcement learning by forward Kullback-Leibler divergence optimization. Neural Networks 152 (2022)
Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Kenji Sugimoto
Robust Stochastic Gradient Descent With Student-t Distribution Based First-Order Momentum. IEEE Trans. Neural Networks Learn. Syst. 33 (3) (2022)
Taisuke Kobayashi
Proximal Policy Optimization with Adaptive Threshold for Symmetric Relative Density Ratio. CoRR (2022)
Taisuke Kobayashi, Emmanuel C. Dean-Leon, Julio Rogelio Guadarrama-Olvera, Florian Bergner, Gordon Cheng
Whole-Body Multicontact Haptic Human-Humanoid Interaction Based on Leader-Follower Switching: A Robot Dance of the "Box Step". Adv. Intell. Syst. 4 (2) (2022)
Taisuke Kobayashi
L2C2: Locally Lipschitz Continuous Constraint towards Stable and Smooth Reinforcement Learning. IROS (2022)
Taisuke Kobayashi, Yutaro Ikawa, Takamitsu Matsubara
Sample-efficient gear-ratio optimization for biomechanical energy harvester. Int. J. Intell. Robotics Appl. 6 (1) (2022)
Taisuke Kobayashi
Consolidated Adaptive T-soft Update for Deep Reinforcement Learning. CoRR (2022)
Taisuke Kobayashi, Kota Fukumoto
Real-time Sampling-based Model Predictive Control based on Reverse Kullback-Leibler Divergence and Its Adaptive Acceleration. CoRR (2022)
Taisuke Kobayashi, Toshiya Mabuchi, Mato Kosaka
Light-weight behavior-based continuous authentication for personalized mobile robot. Int. J. Intell. Robotics Appl. 6 (4) (2022)
Taisuke Kobayashi
L2C2: Locally Lipschitz Continuous Constraint towards Stable and Smooth Reinforcement Learning. CoRR (2022)
Taisuke Kobayashi, Ryoma Watanuki
Sparse Representation Learning with Modified q-VAE towards Minimal Realization of World Model. CoRR (2022)
Taisuke Kobayashi, Shingo Murata, Tetsunari Inamura
Latent Representation in Human-Robot Interaction With Explicit Consideration of Periodic Dynamics. IEEE Trans. Hum. Mach. Syst. 52 (5) (2022)
Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Kenji Sugimoto
AdaTerm: Adaptive T-Distribution Estimated Robust Moments towards Noise-Robust Stochastic Gradient Optimizer. CoRR (2022)
Taisuke Kobayashi
Reward Bonuses with Gain Scheduling Inspired by Iterative Deepening Search. CoRR (2022)
Taisuke Kobayashi
Adaptive Eligibility Traces for Online Deep Reinforcement Learning. IAS (2021)
Taisuke Kobayashi, Shingo Murata, Tetsunari Inamura
Latent Representation in Human-Robot Interaction with Explicit Consideration of Periodic Dynamics. CoRR (2021)
Taisuke Kobayashi, Kenta Yoshizawa
Optimization Algorithm for Feedback and Feedforward Policies towards Robot Control Robust to Sensing Failures. CoRR (2021)
Taisuke Kobayashi, Takahito Enomoto
Towards Autonomous Driving of Personal Mobility with Small and Noisy Dataset using Tsallis-statistics-based Behavioral Cloning. CoRR (2021)
Taisuke Kobayashi
Proximal Policy Optimization with Relative Pearson Divergence. ICRA (2021)
Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Kenji Sugimoto
Adaptive t-Momentum-based Optimization for Unknown Ratio of Outliers in Amateur Data in Imitation Learning. CoRR (2021)
Taisuke Kobayashi
Hyperbolically-Discounted Reinforcement Learning on Reward-Punishment Framework. CoRR (2021)
Maciej Pietrowski, Andrzej Gajda, Takuto Yamamoto, Taisuke Kobayashi, Lana Sinapayen, Eiji Watanabe
Impact of GPU uncertainty on the training of predictive deep neural networks. CoRR (2021)
Taisuke Kobayashi
Mirror-Descent Inverse Kinematics for Box-constrained Joint Space. CoRR (2021)
Taisuke Kobayashi, Yutaro Ikawa, Takamitsu Matsubara
Sample-efficient Gear-ratio Optimization for Biomechanical Energy Harvester. CoRR (2021)
Taisuke Kobayashi
Towards Deep Robot Learning with Optimizer applicable to Non-stationary Problems. SII (2021)
Taisuke Kobayashi, Wendyam Eric Lionel Ilboudo
t-soft update of target network for deep reinforcement learning. Neural Networks 136 (2021)
Hidehito Fujiishi, Taisuke Kobayashi, Kenji Sugimoto
Safe and efficient imitation learning by clarification of experienced latent space. Adv. Robotics 35 (16) (2021)
Tobias Betz, Hidehito Fujiishi, Taisuke Kobayashi
Behavioral Cloning from Observation with Bi-directional Dynamics Model. SII (2021)
Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Kenji Sugimoto
Adaptive t-Momentum-based Optimization for Unknown Ratio of Outliers in Amateur Data in Imitation Learning. IROS (2021)
Takumi Aotani, Taisuke Kobayashi, Kenji Sugimoto
Bottom-up multi-agent reinforcement learning by reward shaping for cooperative-competitive tasks. Appl. Intell. 51 (7) (2021)
Shunki Itadera, Taisuke Kobayashi, Jun Nakanishi, Tadayoshi Aoyama, Yasuhisa Hasegawa
Towards physical interaction-based sequential mobility assistance using latent generative model of movement state. Adv. Robotics 35 (1) (2021)
Takumi Aotani, Taisuke Kobayashi, Kenji Sugimoto
Meta-Optimization of Bias-Variance Trade-Off in Stochastic Model Learning. IEEE Access 9 (2021)
Taisuke Kobayashi
Optimistic Reinforcement Learning by Forward Kullback-Leibler Divergence Optimization. CoRR (2021)
Taisuke Kobayashi, Wendyam Eric Lionel Ilboudo
t-Soft Update of Target Network for Deep Reinforcement Learning. CoRR (2020)
Taisuke Kobayashi
Adaptive and Multiple Time-scale Eligibility Traces for Online Deep Reinforcement Learning. CoRR (2020)
Taisuke Kobayashi
Proximal Policy Optimization with Relative Pearson Divergence. CoRR (2020)
Taisuke Kobayashi
Towards Deep Robot Learning with Optimizer applicable to Non-stationary Problems. CoRR (2020)
Koki Kobayashi, Masaki Ogura, Taisuke Kobayashi, Kenji Sugimoto
Deep unfolding-based output feedback control design for linear systems with input saturation. CoRR (2020)
Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Kenji Sugimoto
TAdam: A Robust Stochastic Gradient Optimizer. CoRR (2020)
Taisuke Kobayashi
q-VAE for Disentangled Representation Learning and Latent Dynamical Systems. CoRR (2020)
Taisuke Kobayashi
q-VAE for Disentangled Representation Learning and Latent Dynamical Systems. IEEE Robotics Autom. Lett. 5 (4) (2020)
Taisuke Kobayashi, Toshiki Sugino
Reinforcement learning for quadrupedal locomotion with design of continual-hierarchical curriculum. Eng. Appl. Artif. Intell. 95 (2020)
Taisuke Kobayashi, Emmanuel C. Dean-Leon, Julio Rogelio Guadarrama-Olvera, Florian Bergner, Gordon Cheng
Multi-Contacts Force-Reactive Walking Control during Physical Human-Humanoid Interaction. Humanoids (2019)
Taisuke Kobayashi
Variational Deep Embedding with Regularized Student-t Mixture Model. ICANN (3) (2019)
Taisuke Kobayashi, Toshiki Sugino
Continual Learning Exploiting Structure of Fractal Reservoir Computing. ICANN (Workshop) (2019)
Taisuke Kobayashi
Student-t policy in reinforcement learning to acquire global optimum of robot control. Appl. Intell. 49 (12) (2019)
Taisuke Kobayashi, Takumi Aotani, Julio Rogelio Guadarrama-Olvera, Emmanuel C. Dean-Leon, Gordon Cheng
Reward-Punishment Actor-Critic Algorithm Applying to Robotic Non-grasping Manipulation. ICDL-EPIROB (2019)
Shunki Itadera, Taisuke Kobayashi, Jun Nakanishi, Tadayoshi Aoyama, Yasuhisa Hasegawa
Impedance Control based Assistive Mobility Aid through Online Classification of User's State. SII (2019)
Takumi Aotani, Taisuke Kobayashi, Kenji Sugimoto
Bottom-up Multi-agent Reinforcement Learning for Selective Cooperation. SMC (2018)
Taisuke Kobayashi
Check Regularization: Combining Modularity and Elasticity for Memory Consolidation. ICANN (2) (2018)
Yutaro Ikawa, Taisuke Kobayashi, Takamitsu Matsubara
Biomechanical Energy Harvester with Continuously Variable Transmission: Prototyping and Preliminary Evaluation. AIM (2018)
Taisuke Kobayashi
Practical Fractional-Order Neuron Dynamics for Reservoir Computing. ICANN (3) (2018)
Taisuke Kobayashi, Kosuke Sekiyama, Yasuhisa Hasegawa, Tadayoshi Aoyama, Toshio Fukuda
Unified bipedal gait for autonomous transition between walking and running in pursuit of energy minimization. Robotics Auton. Syst. 103 (2018)
Tomoro Ota, Kenichi Ohara, Akihiko Ichikawa, Taisuke Kobayashi, Yasuhisa Hasegawa, Toshio Fukuda
Modeling of the high-speed running humanoid robot. MHS (2016)
Taisuke Kobayashi, Kosuke Sekiyama, Tadayoshi Aoyama, Yasuhisa Hasegawa, Toshio Fukuda
Selection of two arm-swing strategies for bipedal walking to enhance both stability and efficiency. Adv. Robotics 30 (6) (2016)
Taisuke Kobayashi, Kosuke Sekiyama, Yasuhisa Hasegawa, Tadayoshi Aoyama, Toshio Fukuda
Quasi-passive dynamic autonomous control to enhance horizontal and turning gait speed control. IROS (2016)
Taisuke Kobayashi, Yasuhisa Hasegawa, Kosuke Sekiyama, Tadayoshi Aoyama, Toshio Fukuda
Unified bipedal gait for walking and running by dynamics-based virtual holonomic constraint in PDAC. ICRA (2016)
Taisuke Kobayashi, Kosuke Sekiyama, Tadayoshi Aoyama, Yasuhisa Hasegawa, Toshio Fukuda
Optimal use of arm-swing for bipedal walking control. ICRA (2015)
Taisuke Kobayashi, Kosuke Sekiyama, Tadayoshi Aoyama, Toshio Fukuda
Cane-supported walking by humanoid robot and falling-factor-based optimal cane usage selection. Robotics Auton. Syst. 68 (2015)
Taisuke Kobayashi, Tadayoshi Aoyama, Yasuhisa Hasegawa, Kosuke Sekiyama, Toshio Fukuda
Dynamics-based virtual holonomic constraint for PDAC running. MHS (2015)
Zhiguo Lu, Kosuke Sekiyama, Tadayoshi Aoyama, Yasuhisa Hasegawa, Taisuke Kobayashi, Toshio Fukuda
Energetically Efficient Ladder Descent Motion With Internal Stress and Body Motion Optimized for a Multilocomotion Robot. IEEE Trans. Ind. Electron. 62 (8) (2015)
Taisuke Kobayashi, Tadayoshi Aoyama, Kosuke Sekiyama, Toshio Fukuda
Selection Algorithm for Locomotion Based on the Evaluation of Falling Risk. IEEE Trans. Robotics 31 (3) (2015)
Taisuke Kobayashi, Kosuke Sekiyama, Tadayoshi Aoyama, Yasuhisa Hasegawa, Toshio Fukuda
Support of COG trajectory tracking by arm-swing with bipedal walking. MHS (2014)
Taisuke Kobayashi, Kosuke Sekiyama, Tadayoshi Aoyama, Yasuhisa Hasegawa, Toshio Fukuda
Optimal selection of cane usage with humanoid robot. Humanoids (2014)
Taisuke Kobayashi, Tadayoshi Aoyama, Masafumi Sobajima, Kosuke Sekiyama, Toshio Fukuda
Bipedal walking by humanoid robot with cane - Preventive usage of cane based on impulse force. MHS (2013)
Taisuke Kobayashi, Tadayoshi Aoyama, Masafumi Sobajima, Kosuke Sekiyama, Toshio Fukuda
Locomotion selection strategy for multi-locomotion robot based on stability and efficiency. IROS (2013)
Taisuke Kobayashi, Tadayoshi Aoyama, Kosuke Sekiyama, Zhiguo Lu, Yasuhisa Hasegawa, Toshio Fukuda
Locomotion selection of Multi-Locomotion Robot based on Falling Risk and moving efficiency. IROS (2012)
Taisuke Kobayashi, Tadayoshi Aoyama, Kosuke Sekiyama, Toshio Fukuda
Stabilization and moving efficiency improvement by adjustment of moving speed in single locomotion. MHS (2012)
Tadayoshi Aoyama, Kosuke Sekiyama, Zhiguo Lu, Taisuke Kobayashi, Yasuhisa Hasegawa, Toshio Fukuda
Stability enhancement of 3-D biped walking based on Passive Dynamic Autonomous Control. Humanoids (2012)
Zhiguo Lu, Kosuke Sekiyama, Tadayoshi Aoyama, Yasuhisa Hasegawa, Taisuke Kobayashi, Toshio Fukuda
Optimal control of energetically efficient ladder decent motion with internal stress adjustment using key joint method. IROS (2012)
Makoto Akeo, Hiroshi Hashimoto, Taisuke Kobayashi, Tetsuo Shibusawa
Computer Graphics System for Reproducing Three-dimensional Shape from Idea Sketch. Comput. Graph. Forum 13 (3) (1994)