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Jason Li

5 papers indexed

arxivcs.ROcs.CV2026-07-16

Xiaomi-Robotics-1: Scaling Vision-Language-Action Models with over 100K Hours of Real-World Trajectories

Xiaomi Robotics Team, Jun Guo, Piaopiao Jin, Jason Li, Peiyan Li, Yingyan Li, et al.

We present Xiaomi-Robotics-1, a foundational vision-language-action (VLA) model capable of (1) following diverse language instructions to perform a wide range of mobile manipulation tasks in unseen environments out-of-the-box, and (2) efficiently adapting to novel downstream task…

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arxivcs.ROcs.AI2026-07-13

Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model

Xinghang Li, Jun Guo, Qiwei Li, Long Qian, Hang Lai, Yueze Wang, et al.

Recent foundation image and video generation models offer strong generalization and controllability, but their direct application to embodied scenarios is limited by requirements for multi-view consistency, geometric coherence, and robot embodiment constraints. Existing methods t…

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arxivcs.CV2026-07-13

Actor as Its Own Critic: Unifying Region Understanding and Localization via CycleGRPO

Xin Zhang, Haochen Wang, Yikang Zhou, Jason Li, Robby T. Tan

This paper introduces Actor as Its Own Critic, a unified reinforcement learning framework, Cycle Group Relative Policy Optimization (CycleGRPO), that jointly optimizes region understanding and localization for Multimodal Large Language Models (MLLMs). Unlike existing separate pip…

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arxivcs.CV2026-06-30

PixelEyes: Decoupling Perception and Reasoning for Pinpoint Visual Evidence Seeking

Dengxian Gong, Yuanzheng Wu, Haobo Yuan, Zhengdong Hu, Tao Zhang, Yikang Zhou, et al.

This paper explores multi-turn visual reasoning and observes that MLLMs repeatedly fail to localize the target, leading to long, redundant trajectories. We attribute this failure to the entanglement of reasoning and perception within a single model, the MLLM reasons and localizes…

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arxivcs.CVcs.AI2026-06-28

MotionAtlas: Detailed Region Captioning for Motion-Centric Videos

Weisong Liu, Haochen Wang, Kuan Gao, Yuhao Wang, Yikang Zhou, Zhongwei Ren, et al.

We propose MotionAtlas, a system for detailed captioning of motion-centric videos, comprising (1) a dedicated human-annotated benchmark, (2) a scalable, high-quality pipeline to construct training samples, and (3) a family of powerful Video-MLLMs. Unlike conventional global motio…

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