activity
20182026
most citedMotion Generation Using Bilateral Control-Based Imitation Learning with Autoregressive Learning

32 citations · 41 across the 9 of their papers we have counts for

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15 papers · 1 filter

cs.RO2026

Force Generative Imitation Learning: Bridging Position Trajectory and Force Commands through Control Technique

Hiroshi Sato, Sho Sakaino, Toshiaki Tsuji

In contact-rich tasks, while position trajectories are often easy to obtain, appropriate force commands are typically unknown. Although it is conceivable to generate force commands…

cs.RO2026

Hierarchical Proportion Models for Motion Generation via Integration of Motion Primitives

Yu-Han Shu, Toshiaki Tsuji, Sho Sakaino

Imitation learning (IL) enables robots to acquire human-like motion skills from demonstrations, but it still requires extensive high-quality data and retraining to handle complex o…

cs.RO2025

Decoupled Scaling 4ch Bilateral Control on the Cartesian coordinate by 6-DoF Manipulator using Rotation Matrix

Koki Yamane, Sho Sakaino, Toshiaki Tsuji

Four-channel bilateral control is a method for achieving remote control with force feedback and adjustment operability by synchronizing the positions and forces of two manipulators…

cs.RO2025

Imitation Learning Based on Disentangled Representation Learning of Behavioral Characteristics

Ryoga Oishi, Sho Sakaino, Toshiaki Tsuji

In the field of robot learning, coordinating robot actions through language instructions is becoming increasingly feasible. However, adapting actions to human instructions remains…

cs.RO2025

Motion ReTouch: Motion Modification Using Four-Channel Bilateral Control

Koki Inami, Sho Sakaino, Toshiaki Tsuji

Recent research has demonstrated the usefulness of imitation learning in autonomous robot operation. In particular, teaching using four-channel bilateral control, which can obtain…

cs.RO2024

Variable-Speed Teaching-Playback as Real-World Data Augmentation for Imitation Learning

Nozomu Masuya, Hiroshi Sato, Koki Yamane +3

Because imitation learning relies on human demonstrations in hard-to-simulate settings, the inclusion of force control in this method has resulted in a shortage of training data, e…