2024
Improved Generalization of Probabilistic Movement Primitives for Manipulation Trajectories
RA-L 2024
Imitation learning methods have proven effective in learning robotic tasks by leveraging multiple human-controlled demonstrations. However, existing approaches often struggle to generalize across a wide range of tasks, such as extrapolating to unseen object locations, incorporating via-point modulat