3 papers
cs.RO2026
Train-Small Deploy-Large: Leveraging Diffusion-Based Multi-Robot Planning
Siddharth Singh, Soumee Guha, Qing Chang +1
Learning based multi-robot path planning methods struggle to scale or generalize to changes, particularly variations in the number of robots during deployment. Most existing method…
cs.RO2025
Collaborative motion planning for multi-manipulator systems through Reinforcement Learning and Dynamic Movement Primitives
Siddharth Singh, Tian Xu, Qing Chang
Robotic tasks often require multiple manipulators to enhance task efficiency and speed, but this increases complexity in terms of collaboration, collision avoidance, and the expand…
cs.RO2025
Hybrid Robot Learning for Automatic Robot Motion Planning in Manufacturing
Siddharth Singh, Tian Yu, Qing Chang +2
Industrial robots are widely used in diverse manufacturing environments. Nonetheless, how to enable robots to automatically plan trajectories for changing tasks presents a consider…