2 papers
cs.RO2026
Improving Robotic Imitation Learning via Trajectory Standardization
Licheng Yang, Lingfeng Qian, Fei Zheng +4
Imitation learning for robotic manipulation relies on large sets of human demonstration trajectories, which are often noisy and temporally irregular due to variable operator speed,…
cs.RO2025
VO-DP: Semantic-Geometric Adaptive Diffusion Policy for Vision-Only Robotic Manipulation
Zehao Ni, Yonghao He, Lingfeng Qian +7
In the context of imitation learning, visuomotor-based diffusion policy learning is one of the main directions in robotic manipulation. Most of these approaches rely on point cloud…