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Affiliation:, Beijing Academy of Artificial Intelligence (BAAI)
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WAVE-Go, an image-goal navigation framework that separates world-action prediction from interruptible command execution, and its executor adaptively selects an action prefix and cancels pending commands when updated observations invalidate execution, support adaptive, interruptible execution as a means of balancing navigation performance and planning overhead.
A skill learner that autonomously updates its library from experience can significantly enhance embodied agents' adaptability and performance.
HandwritingAgent achieves superior handwriting synthesis by leveraging natural language prompts, eliminating the need for style-specific training while enhancing control and efficiency.
Personalized AI learning just got a major upgrade with LectūraAgents, which adapts teaching methods in real-time to fit individual learner needs.
Forget robot-specific fine-tuning: a unified diffusion model can now learn policies across diverse robot embodiments, boosting performance by 15% and opening doors to truly generalizable robotic agents.
Forget painstakingly programming robot interactions – ExoActor uses video generation to hallucinate plausible behaviors, then translates them into robot actions.
