AI RESEARCH
DRL-Based Pose Control for Double-Ackermann Robots Under Actuation Uncertainties
arXiv CS.AI
•
ArXi:2606.00313v1 Announce Type: cross Robust deployment of deep reinforcement learning (DRL) policies on real robots remains challenging due to discrepancies between simulation and real-world dynamics. We address this issue in the context of maneuvering with double-Ackermann-steering mobile robots, which