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IROS 2025

WAVE: Worm Gear-based Adaptive Variable Elasticity for Decoupling Actuators from External Forces

Conference Paper Accepted Paper Artificial Intelligence · Robotics

Abstract

Robotic manipulators capable of regulating both compliance and stiffness offer enhanced operational safety and versatility. Here, we introduce Worm Gear-based Adaptive Variable Elasticity (WAVE), a variable stiffness actuator (VSA) that integrates a non-backdrivable worm gear. By decoupling the driving motor from external forces using this gear, WAVE enables precise force transmission to the joint, while absorbing positional discrepancies through compliance. WAVE is protected from excessive loads by converting impact forces into elastic energy stored in a spring. In addition, the actuator achieves continuous joint stiffness modulation by changing the spring’s precompression length. We demonstrate these capabilities, experimentally validate the proposed stiffness model, show that motor loads approach zero at rest–even under external loading–and present applications using a manipulator with WAVE. This outcome showcases the successful decoupling of external forces. The protective attributes of this actuator allow for extended operation in contact-intensive tasks, and for robust robotic applications in challenging environments.

Authors

Keywords

  • Actuators
  • Torque
  • Gears
  • Elasticity
  • Motors
  • Manipulators
  • Safety
  • Grippers
  • Springs
  • Payloads
  • External Force
  • Impact Force
  • Elastic Energy
  • Joint Stiffness
  • Variable Stiffness
  • Rotation Angle
  • Polylactic Acid
  • Joint Angles
  • Load Testing
  • Contact Force
  • Low Stiffness
  • Position Tracking
  • Joint Rotation
  • Voltage Spikes
  • Moment Arm
  • Friction Loss
  • Linear Displacement
  • Lateral Load
  • Force Gauge
  • External Torque
  • Rigid State
  • Stiffness Control
  • Free Length
  • External Impact

Context

Venue
IEEE/RSJ International Conference on Intelligent Robots and Systems
Archive span
1988-2025
Indexed papers
26578
Paper id
240949101271296356
v2026.09.13