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Title: Stable Haptic Teleoperation of UAVs via Small L2 Gain and Control Barrier Functions
We present a novel haptic teleoperation approach that considers not only the safety but also the stability of a teleoperation system. Specifically, we build upon previous work on haptic shared control, which generates a reference haptic feedback that helps the human operator to safely navigate the robot but without taking away their control authority. Crucially, in this approach the force rendered to the user is not directly reflected in the motion of the robot (which is still directly controlled by the user); however, previous work in the area neglected to consider the possible instabilities in feedback loop generated by a user that over-responds to the haptic force. In this paper we introduce a differential constraint on the rendered force that makes the system finite-gain L2 stable; the constraint results in a Quadratically Constrained Quadratic Program (QCQP), for which we provide a closed-form solution. Our constraint is related to, but less restrictive than, the typical passivity constraint used in previous literature. We conducted an experimental simulation in which a human operator flies a UAV near an obstacle to evaluate the proposed method.
Authors:
;
Award ID(s):
1728277
Publication Date:
NSF-PAR ID:
10288515
Journal Name:
Proceedings of the IEEERSJ International Conference on Intelligent Robots and Systems
ISSN:
2153-0866
Sponsoring Org:
National Science Foundation
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