Shared Autonomy for Brain-Machine-Interface Teleoperation of Robots

2024年1月1日 · 1 min read
research

Intent signals from brain-machine interfaces (BMIs) are inherently low-bandwidth and noisy, making fine-grained robot control difficult. We build shared autonomy frameworks in which the robot adaptively complements user actions based on goal estimation, aiming to enhance the practical usability of BMI-driven robot teleoperation and navigation.

Related papers:

  • Tomoka Muraoka, Tatsuya Aoki, Masayuki Hirata, Tadahiro Taniguchi, Takato Horii, Takayuki Nagai. “Goal Estimation-based Adaptive Shared Control for Brain-Machine Interfaces Remote Robot Navigation”. 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024.
Hri
Takato Horii
Authors
Takato Horii (he/him)
Associate Professor
Associate Professor at Graduate School of Engineering Science, Osaka University. Research interests include cognitive developmental robotics, computational modeling of emotional development, and human-robot interaction.