2 papers
cs.RO2025
IRASim: A Fine-Grained World Model for Robot Manipulation
Fangqi Zhu, Hongtao Wu, Song Guo +3
World models allow autonomous agents to plan and explore by predicting the visual outcomes of different actions. However, for robot manipulation, it is challenging to accurately mo…
cs.RO2024
GR-MG: Leveraging Partially Annotated Data via Multi-Modal Goal-Conditioned Policy
Peiyan Li, Hongtao Wu, Yan Huang +3
The robotics community has consistently aimed to achieve generalizable robot manipulation with flexible natural language instructions. One primary challenge is that obtaining robot…