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Masato Kobayashi
Masato Kobayashi
Verified email at osaka-u.ac.jp - Homepage
Title
Cited by
Cited by
Year
Local Path Planning: Dynamic Window Approach with Virtual Manipulators Considering Dynamic Obstacles
M Kobayashi, N Motoi
IEEE Access 10, 17018-17029, 2022
752022
Path Planning for Mobile Robot Considering Turnabouts on Narrow Road by Deep Q-Network
T Nakamura, M Kobayashi, N Motoi
IEEE Access 11, 19111-19121, 2023
172023
Local path planning method based on virtual manipulators and dynamic window approach for a wheeled mobile robot
M Kobayashi, N Motoi
2021 IEEE/SICE International Symposium on System Integration (SII), 499-504, 2021
172021
Local path planning: Dynamic window approach with Q-learning considering congestion environments for mobile robot
M Kobayashi, H Zushi, T Nakamura, N Motoi
IEEE Access 11, 96733-96742, 2023
122023
Bi-ACT: Bilateral Control-Based Imitation Learning via Action Chunking with Transformer
T Buamanee, M Kobayashi, Y Uranishi, H Takemura
arXiv preprint arXiv:2401.17698, 2024
82024
Remote control method for mobile robot based on force feedback generated using collision prediction map
N Motoi, M Kobayashi, R Masaki
IEEJ Journal of Industry Applications 8 (4), 727-735, 2019
82019
BSL: Navigation Method Considering Blind Spots Based on ROS Navigation Stack and Blind Spots Layer for Mobile Robot
M Kobayashi, N Motoi
IEEE Transactions on Industry Applications, 2023
52023
Local Path Planning with Turnabouts for Mobile Robot by Deep Deterministic Policy Gradient
T Nakamura, M Kobayashi, N Motoi
2023 IEEE International Conference on Mechatronics (ICM), 1-6, 2023
52023
Hybrid control of trajectory planning for desired trajectory and collision avoidance based on optimization problem for a wheeled mobile robot
M Kobayashi, N Motoi
IEEJ Journal of Industry Applications 9 (4), 331-340, 2020
52020
ILBiT: Imitation Learning for Robot Using Position and Torque Information based on Bilateral Control with Transformer
M Kobayashi, T Buamanee, Y Uranishi, H Takemura
arXiv preprint arXiv:2401.16653, 2024
42024
Path Planning Method Considering Blind Spots Based on ROS Navigation Stack and Dynamic Window Approach for Wheeled Mobile Robot
M Kobayashi, N Motoi
2022 International Power Electronics Conference (IPEC-Himeji 2022-ECCE Asia ¡K, 2022
42022
Experimental operability evaluation of remote control with force feedback for mobile robot
N Motoi, H Kimura, M Kobayashi
2018 IEEE International Conference on Industrial Technology (ICIT), 159-164, 2018
42018
Remote-Controlled Method with Force and Visual Assists Based on Time to Collision for Mobile Robot
R Masaki, M Kobayashi, N Motoi
Applied Sciences 12 (8), 3727, 2022
32022
DABI: Evaluation of Data Augmentation Methods Using Downsampling in Bilateral Control-Based Imitation Learning with Images
M Kobayashi, T Buamanee, Y Uranishi
arXiv preprint arXiv:2410.04370, 2024
22024
MRNaB: Mixed Reality-based Robot Navigation Interface using Optical-see-through MR-beacon
E Iglesius, M Kobayashi, Y Uranishi, H Takemura
https://arxiv.org/abs/2403.19310, 2024
22024
LfDT: Learning Dual-Arm Manipulation from Demonstration Translated from a Human and Robotic Arm
M Kobayashi, J Yamada, M Hamaya, K Tanaka
2023 IEEE-RAS 22nd International Conference on Humanoid Robots (Humanoids), 1-8, 2023
22023
Local Path Planning Method Considering Blind Spots Based on Cost Map for Wheeled Mobile Robot
M Kobayashi, N Motoi
IEEJ Transactions on Industry Applications 141 (8), 598-605, 2021
22021
Tracking Control Method Considering Obstacle Avoidance by Reflective Motion for Mobile Robot
M Kobayashi, N Motoi
IECON 2018-44th Annual Conference of the IEEE Industrial Electronics Society ¡K, 2018
22018
ALPHA-£\ and Bi-ACT Are All You Need: Importance of Position and Force Information/Control for Imitation Learning of Unimanual and Bimanual Robotic Manipulation with Low-Cost System
M Kobayashi, T Buamanee, T Kobayashi
https://arxiv.org/abs/2411.09942, 1-12, 2024
12024
TRAIL Team Description Paper for RoboCup@ Home 2023
C Tsuji, D Komukai, M Shirasaka, H Wada, T Omija, A Horo, D Furuta, ...
arXiv preprint arXiv:2310.03913, 2023
12023
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