activity
20182022
most citedMotion Generation Using Bilateral Control-Based Imitation Learning with Autoregressive Learning

32 citations · 41 across the 4 of their papers we have counts for

collaborators

10 papers

cs.RO20223 cited

Design of non-diagonal stiffness matrix for assembly task

Tsukasa Kusakabe, Sho Sakaino, Toshiaki Tsuji

Compliance control is an increasingly employed technique used in the robotic field. It is known that various mechanical properties can be reproduced depending on the design of the…

cs.RO20221 cited

An Independently Learnable Hierarchical Model for Bilateral Control-Based Imitation Learning Applications

Kazuki Hayashi, Sho Sakaino, Toshiaki Tsuji

Recently, motion generation by machine learning has been actively researched to automate various tasks. Imitation learning is one such method that learns motions from data collecte…

cs.RO202032 cited

Motion Generation Using Bilateral Control-Based Imitation Learning with Autoregressive Learning

Ayumu Sasagawa, Sho Sakaino, Toshiaki Tsuji

Robots that can execute various tasks automatically on behalf of humans are becoming an increasingly important focus of research in the field of robotics. Imitation learning has be…

cs.RO20205 cited

Assembly robots with optimized control stiffness through reinforcement learning

Masahide Oikawa, Kyo Kutsuzawa, Sho Sakaino +1

There is an increased demand for task automation in robots. Contact-rich tasks, wherein multiple contact transitions occur in a series of operations, are extensively being studied…

eess.SY2019

Design of Resonance Ratio Control with Relative Position Information for Two-inertia System

Kenta Araake, Sho Sakaino, Toshiaki Tsuji

Two-inertia systems are prone to resonance vibrations that degrade their control performances. These unwanted vibrations can be effectively suppressed by control methods based on a…

cs.RO2019

Time Series Motion Generation Considering Long Short-Term Motion

Kazuki Fujimoto, Sho Sakaino, Toshiaki Tsuji

Various adaptive abilities are required for robots interacting with humans in daily life. It is difficult to design adaptive algorithms manually; however, by using end-to-end machi…