2020
Improving Tracking through Human-Robot Sensory Augmentation
RA-L 2020
This letter introduces a sensory augmentation technique enabling a contact robot to understand its human user's control in real-time and integrate their reference trajectory information into its own sensory feedback to improve the tracking performance. The human's control is formulated as a feedback