End-Effector Cartesian Velocity Control for Redundant Loader Cranes Using RL
Link to Published Article → IEEE Transactions on Robotics, 2025, Volume 41.
Video
Highlights
- RL framework for crane tip control
- Large scale model-in-the-loop testing for reliable sim-to-real transfer
-
Machine control interface over CAN (Codes:
CANAutomate)
Citation
Abdolreza Taheri et al. “End-effector Cartesian Velocity Control for Redundant Loader Cranes using Reinforcement learning”. In:
IEEE Transactions on Robotics 41 (2025), pp. 484–496.
DOI:
10.1109/TRO.2024.3502252