1 citations · 1 across the 6 of their papers we have counts for
3 papers · 2 filters
ContactDP: Contact-Guided Diffusion Policy for Tight Insertion Tasks
Chengyi Xing, Shaoxiong Yao, Diego Romeres +1
High-precision connector insertion remains challenging for robotic systems due to tight mechanical tolerances, partial observability during contact, and multimodal uncertainty aris…
Guava: An Effective and Universal Harness for Embodied Manipulation
Haowen Liu, Xirui Li, Shaoxiong Yao +5
Language models trained on large-scale vision-language data have demonstrated strong potential for embodied agents. Harnessing models through embodied tools use offers a promising…
Flexible Multitask Learning with Factorized Diffusion Policy
Chaoqi Liu, Haonan Chen, Sigmund H. Høeg +4
Multitask learning poses significant challenges due to the highly multimodal and diverse nature of robot action distributions. However, effectively fitting policies to these comple…