2 citations · 3 across the 4 of their papers we have counts for
4 papers
Navi2Gaze: Leveraging Foundation Models for Navigation and Target Gazing
Jun Zhu, Zihao Du, Haotian Xu +5
Task-aware navigation continues to be a challenging area of research, especially in scenarios involving open vocabulary. Previous studies primarily focus on finding suitable locati…
CoPa: General Robotic Manipulation through Spatial Constraints of Parts with Foundation Models
Haoxu Huang, Fanqi Lin, Yingdong Hu +2
Foundation models pre-trained on web-scale data are shown to encapsulate extensive world knowledge beneficial for robotic manipulation in the form of task planning. However, the ac…
SpaceOctopus: An Octopus-inspired Motion Planning Framework for Multi-arm Space Robot
Wenbo Zhao, Shengjie Wang, Yixuan Fan +2
Space robots have played a critical role in autonomous maintenance and space junk removal. Multi-arm space robots can efficiently complete the target capture and base reorientation…
Machine Learning Force Fields with Data Cost Aware Training
Alexander Bukharin, Tianyi Liu, Shengjie Wang +4
Machine learning force fields (MLFF) have been proposed to accelerate molecular dynamics (MD) simulation, which finds widespread applications in chemistry and biomedical research.…