1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.AI2026
Kairos: A Regret-Aware Native World-Action Model Stack for Physical AI
Kairos Team, Fei Wang, Shan You +21
We introduce \textbf{Kairos}, a regret-aware native world-action model stack for Physical AI. Kairos is motivated by the view that a physical world model should not aim to fully si…
cs.RO2024★ 1 cited
Language-Guided Object-Centric Diffusion Policy for Generalizable and Collision-Aware Robotic Manipulation
Hang Li, Qian Feng, Zhi Zheng +3
Learning from demonstrations faces challenges in generalizing beyond the training data and often lacks collision awareness. This paper introduces Lan-o3dp, a language-guided object…
cs.RO2024
Evaluating Uncertainty-based Failure Detection for Closed-Loop LLM Planners
Zhi Zheng, Qian Feng, Hang Li +2
Recently, Large Language Models (LLMs) have witnessed remarkable performance as zero-shot task planners for robotic manipulation tasks. However, the open-loop nature of previous wo…