A Reinforcement Learning Framework for Safety-Aware Haptic Shared Control in Surgical Robotics
Overview
A new RL framework for safety-aware haptic shared control in surgical robotics compares MADDPG, rMAPPO, and an epigraph-constrained approach. rMAPPO shows best performance in simulation, while the epigraph method produces more conservative motions. Real-world trials validate fixed-impedance policies and the impact of learned partner policies on command alignment.
Generated from attributed reports · Updated 1 hours ago
Event evidence and corrections
0 attributed source owners. Ownership does not establish independent confirmation. Quantities are reported separately and are never added together.
Environment: simulation
“n, comparing learned human control with a task-tuned fixed-impedance baseline. This model-free multi-agent reinforcement learning framework supports joint policy adaptation without requiring a complete analytical interaction model. It compares MADDPG and rMAPPO with an epigraph-constrained approach under common geometric task definitions. In simulation, rMAPPO generally achieved the highest return and tracking perfor”
Exact source · revision 1Source owner not reported
Report timeline
Follow attributed reports and material updates.
- arXiv Robotics — research abstractsA Reinforcement Learning Framework for Safety-Aware Haptic Shared Control in Surgical Robotics
This research introduces a reinforcement learning framework for safety-aware haptic shared control in surgical robotics, modeling the interaction as a two-agent cooperative Markov game. The study compares MADDPG, rMAPPO, and an epigraph-constrained approach, showing that rMAPPO achieves the highest return and tracking performance in simulation, while the epigraph approach produces more conservative motions. Real-world trials demonstrate the effectiveness of fixed-impedance policies and the impact of learned partner policies on command alignment.
Timezone · UTC
Article dates follow your selected timezone. Briefing editions use Hong Kong time (UTC+8).