3 papers
cs.RO2026
PriGo: Test-Time Primitive Guidance to Diffusion and Flow Policies for Adaptive Robotic Manipulation
Zezeng Li, Enda Xiang, Thuy Tran +3
Imitation learning has enabled remarkable progress in robotic manipulation, especially with diffusion and flow-based policies that generate complex visuomotor behaviors directly fr…
cs.RO2026
GraspLDP: Towards Generalizable Grasping Policy via Latent Diffusion
Enda Xiang, Haoxiang Ma, Xinzhu Ma +2
This paper focuses on enhancing the grasping precision and generalization of manipulation policies learned via imitation learning. Diffusion-based policy learning methods have rece…
cs.RO2025
Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges
Zezeng Li, Alexandre Chapin, Enda Xiang +6
Robotic Manipulation (RM) is central to the advancement of autonomous robots, enabling them to interact with and manipulate objects in real-world environments. This survey focuses…