Enhancing Shared Autonomy in Teleoperation Under Network Delay: Transparency- and Confidence-Aware Arbitration
Shared autonomy bridges human expertise with machine intelligence, yet existing approaches often overlook the impact of teleoperation delays. To address this gap, we propose a novel shared autonomy approach that enables robots to gradually learn from teleoperated demonstrations while adapting to net