Research team boosts surgical robot haptic precision with RAVEN II system
RAVEN II surgical robot achieves sub-Newton force accuracy using parallel motor-cable units.
A parallel motor-cable system was built for the RAVEN II surgical robot to apply controllable external forces to its end-effector. Using six motor-cable units around the workspace, cables with adjustable tension deliver desired forces without interfering with the robot's motion. The work targets the long-standing challenge of haptic feedback in surgical robots and aims to improve learning-based force estimation, which has shown promising accuracy without extra sensors but needs representative training data under varied external forces. Preliminary experiments report force actuation errors of less than 1 N.
- Sub-Newton force accuracy (error <1 N) achieved on RAVEN II surgical robot using parallel motor-cable units
- System avoids external sensors by using controllable tension cables and learning-based force estimation
- Potential applications in surgical training and procedure simulation for improved haptic feedback
Why It Matters
This breakthrough could improve robotic surgery training accuracy by enabling realistic force feedback without additional hardware.