3 papers
cs.RO2025
Prompting with the Future: Open-World Model Predictive Control with Interactive Digital Twins
Chuanruo Ning, Kuan Fang, Wei-Chiu Ma
Recent advancements in open-world robot manipulation have been largely driven by vision-language models (VLMs). While these models exhibit strong generalization ability in high-lev…
cs.RO2025
X-Sim: Cross-Embodiment Learning via Real-to-Sim-to-Real
Prithwish Dan, Kushal Kedia, Angela Chao +4
Human videos offer a scalable way to train robot manipulation policies, but lack the action labels needed by standard imitation learning algorithms. Existing cross-embodiment appro…
cs.RO2025
Sampling-Based Grasp and Collision Prediction for Assisted Teleoperation
Simon Manschitz, Berk Gueler, Wei Ma +1
Shared autonomy allows for combining the global planning capabilities of a human operator with the strengths of a robot such as repeatability and accurate control. In a real-time t…