Taisuke Kobayashi

About Taisuke Kobayashi

Taisuke Kobayashi, With an exceptional h-index of 11 and a recent h-index of 10 (since 2020), a distinguished researcher at Nara Institute of Science and Technology, specializes in the field of Robotics, Machine learning, Autonomous systems.

His recent articles reflect a diverse array of research interests and contributions to the field:

Constrained footstep planning using model-based reinforcement learning in virtual constraint-based walking

Latent regression based model predictive control for tissue triangulation

Revisiting Experience Replayable Conditions

Autonomous driving of personal mobility by imitation learning from small and noisy dataset

Autonomous Driving from Diverse Demonstrations with Implicit Selection of Optimal Mode

Cooperative Transport by Manipulators with Uncertainty-Aware Model-Based Reinforcement Learning

Adaterm: Adaptive t-distribution estimated robust moments for noise-robust stochastic gradient optimization

リミットサイクル型歩行における学習ベース MPC を用いた着地位置計画

Taisuke Kobayashi Information

University

Position

___

Citations(all)

484

Citations(since 2020)

412

Cited By

165

hIndex(all)

11

hIndex(since 2020)

10

i10Index(all)

13

i10Index(since 2020)

10

Email

University Profile Page

Google Scholar

Taisuke Kobayashi Skills & Research Interests

Robotics

Machine learning

Autonomous systems

Top articles of Taisuke Kobayashi

Title

Journal

Author(s)

Publication Date

Constrained footstep planning using model-based reinforcement learning in virtual constraint-based walking

Advanced Robotics

Takanori Jin

Taisuke Kobayashi

Takamitsu Matsubara

2024/4/4

Latent regression based model predictive control for tissue triangulation

Advanced Robotics

Songtao Liu

Jacinto Colan

Yaonan Zhu

Taisuke Kobayashi

Kazunari Misawa

...

2024/3/3

Revisiting Experience Replayable Conditions

arXiv preprint arXiv:2402.10374

Taisuke Kobayashi

2024/2/15

Autonomous driving of personal mobility by imitation learning from small and noisy dataset

Taisuke Kobayashi

Takahito Enomoto

2024/1/8

Autonomous Driving from Diverse Demonstrations with Implicit Selection of Optimal Mode

Taisuke Kobayashi

Yusuke Takeda

2024/1/8

Cooperative Transport by Manipulators with Uncertainty-Aware Model-Based Reinforcement Learning

Takumi Aotani

Taisuke Kobayashi

2024/1/8

Adaterm: Adaptive t-distribution estimated robust moments for noise-robust stochastic gradient optimization

Neurocomputing

Wendyam Eric Lionel Ilboudo

Taisuke Kobayashi

Takamitsu Matsubara

2023/11/7

リミットサイクル型歩行における学習ベース MPC を用いた着地位置計画

神孝典, 小林泰介, 松原崇充

2023

Domains as Objectives: Multi-Domain Reinforcement Learning with Convex-Coverage Set Learning for Domain Uncertainty Awareness

Wendyam Eric Lionel Ilboudo

Taisuke Kobayashi

Takamitsu Matsubara

2023/10/1

潜在方策を用いた Imitation from Observation の連続行動空間への拡張

小林泰介

2023

Reward bonuses with gain scheduling inspired by iterative deepening search

Results in Control and Optimization

Taisuke Kobayashi

2023/9/1

Soft Actor-Critic の改良による出力抑制と頑健化

小林泰介

2023

個々のリスクを持つマルチエージェント強化学習のための罰成形手法

青谷拓海, 小林泰介, 小澤隆太

2023

Intentionally-underestimated Value Function at Terminal State for Temporal-difference Learning with Mis-designed Reward

arXiv preprint arXiv:2308.12772

Taisuke Kobayashi

2023/8/24

Sparse representation learning with modified q-VAE towards minimal realization of world model

Advanced Robotics

Taisuke Kobayashi

Ryoma Watanuki

2023/7/3

Design of restricted normalizing flow towards arbitrary stochastic policy with computational efficiency

Advanced Robotics

Taisuke Kobayashi

Takumi Aotani

2023/6/18

Soft Actor-Critic Algorithm with Truly-satisfied Inequality Constraint

arXiv preprint arXiv:2303.04356

Taisuke Kobayashi

2023/3/8

Proximal policy optimization with adaptive threshold for symmetric relative density ratio

Results in Control and Optimization

Taisuke Kobayashi

2023/3/1

Longitudinal Control for Platooning of Vehicles by Two-degree-of-freedom Structure with Online Tuning

Transactions of the Society of Instrument and Control Engineers

Yasuhiro Nakao

Taisuke Kobayashi

Kenji Sugimoto

2022

Optimization algorithm for feedback and feedforward policies towards robot control robust to sensing failures

ROBOMECH Journal

Taisuke Kobayashi

Kenta Yoshizawa

2022/7/14

See List of Professors in Taisuke Kobayashi University(Nara Institute of Science and Technology)

Co-Authors

academic-engine