3 papers
cs.RO2024
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
Masato Kobayashi, Thanpimon Buamanee, Takumi Kobayashi
Autonomous manipulation in everyday tasks requires flexible action generation to handle complex, diverse real-world environments, such as objects with varying hardness and softness…
cs.RO2024
ILBiT: Imitation Learning for Robot Using Position and Torque Information based on Bilateral Control with Transformer
Masato Kobayashi, Thanpimon Buamanee, Yuki Uranishi +1
Autonomous manipulation in robot arms is a complex and evolving field of study in robotics. This paper introduces an innovative approach to this challenge by focusing on imitation…
cs.RO2024
Bi-ACT: Bilateral Control-Based Imitation Learning via Action Chunking with Transformer
Thanpimon Buamanee, Masato Kobayashi, Yuki Uranishi +1
Autonomous manipulation in robot arms is a complex and evolving field of study in robotics. This paper proposes work stands at the intersection of two innovative approaches in the…