Mobile Manipulator
Mobile manipulators, robots combining mobile bases with robotic arms, aim to achieve versatile manipulation in dynamic environments. Current research emphasizes robust perception (e.g., using multiple viewpoints and attention mechanisms), accurate scene modeling (including articulated objects), and efficient motion planning (incorporating kinodynamic constraints and whole-body control for collision avoidance). These advancements are crucial for applications ranging from industrial automation and assistive robotics to planetary exploration, improving task success rates and enabling complex interactions in unstructured settings.
Papers
Kinodynamic Motion Planning for Collaborative Object Transportation by Multiple Mobile Manipulators
Keshab Patra, Arpita Sinha, Anirban Guha
Like a Martial Arts Dodge: Safe Expeditious Whole-Body Control of Mobile Manipulators for Collision Avoidance
Bingjie Chen, Houde Liu, Chongkun Xia, Liang Han, Xueqian Wang, Bin Liang
CushionCatch: Compliant Catching Mechanism for Mobile Manipulators via Combined Optimization and Learning
Bingjie Chen, Keyu Fan, Houde Liu, Chongkun Xia, Liang Han, Bin Liang