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Matching papers

Streaming Multi-Agent Autoregressive Diffusion Model with World State Registers

9 upvotes · 23 JUL 2026 · Sicheng Mo, Yuheng Li, Ziyang Leng et al.

This paper introduces a new method for generating videos in multi-agent environments, where each agent has its own view of the world. It's useful for applications like video games or simulations where multiple agents need to interact with each other and the environment.

multi-agentautoregressive diffusion modelsworld statevideo generationscene understanding

SeededGrasp: Language-Guided Grasping in Complex Scenes with Multiple Embodiments

3 upvotes · 22 JUL 2026 · Yang Xu, Gurpreet Singh Mukker, Raymond Wang et al.

This paper develops a new framework for robotic grasping in complex scenes that uses language to specify task requirements, allowing robots to grasp objects with more precision and flexibility. Practitioners working on robotic grasping and manipulation might care about this approach because it could improve the performance and efficiency of robots in real-world applications.

vision-language modelsrobotic graspingmulti-embodimentscene understandingreinforcement learning