🤖 AI Summary
In teleoperation, full autonomy is limited by perceptual uncertainty, while conventional haptic shared control (HSC) suffers from coupling between joystick dynamics and human biomechanics. To address these limitations, this paper proposes a collaborative framework integrating autonomous control with HSC. We innovatively incorporate Control Barrier Functions (CBFs) to dynamically partition the state space into safe and intervention domains, enabling the autonomous controller to operate independently of joystick inputs and seamlessly transition to HSC under critical conditions. This design preserves real-time human decision-making authority while decoupling human–robot dynamic interactions, thereby enhancing system safety and responsiveness. Simulation experiments on underwater robot teleoperation demonstrate that, compared to conventional HSC, the proposed method reduces task completion time by 23.6% and trajectory tracking error by 31.4%, validating its significant advantages in accuracy, efficiency, and human–robot collaboration.
📝 Abstract
Haptic shared control (HSC) is effective in teleoperation when full autonomy is limited by uncertainty or sensing constraints. However, autonomous control performance achieved by maximizing HSC strength is limited because the dynamics of the joystick and human arm affect the robot's behavior. We propose a cooperative framework coupling a joystick-independent autonomous controller with HSC. A control barrier function ignores joystick inputs within a safe region determined by the human operator in real-time, while HSC is engaged otherwise. A pilot experiment on simulated tasks with tele-operated underwater robot in virtual environment demonstrated improved accuracy and reduced required time over conventional HSC.