5 citations · 5 across the 2 of their papers we have counts for
5 papers · 1 filter
Retrospective Open-Vocabulary Memory for Long-Term Object Search
Jiaming Wang, Zhiwei Xue, Chen Jizhuo +2
Long-term object search requires learning where objects usually appear from repeated but uneven observations of a changing environment. We formulate retrospective open-vocabulary m…
Agent Priors-guided Policy Learning
Puming Jiang, Tianrun Hu, Haozhe Du +4
Robots that learn from a few demonstrations often require two forms of generalization. Compositional generalization recombines skills to solve new tasks, and skill generalization l…
How to Better Train VLAs: Lessons Learned From the REAL-I Challenge at ICRA 2026
Jiaming Wang, Jizhuo Chen, Diwen Liu +11
How can robot policies learn more effectively from a fixed demonstration budget? The first Real-world Embodied AI Learning (REAL-I) Challenge at ICRA 2026 examined this question th…
CHD: Coupled Hierarchical Diffusion for Long-Horizon Tasks
Ce Hao, Anxing Xiao, Zhiwei Xue +1
Diffusion-based planners have shown strong performance in short-horizon tasks but often fail in complex, long-horizon settings. We trace the failure to loose coupling between high-…
DISCO: Language-Guided Manipulation with Diffusion Policies and Constrained Inpainting
Ce Hao, Kelvin Lin, Zhiwei Xue +2
Diffusion policies have demonstrated strong performance in generative modeling, making them promising for robotic manipulation guided by natural language instructions. However, gen…