AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Handroid is introduced, a desktop-scale dual-embodiment robot that integrates both capabilities within a single reconfigurable platform and provides a unified control and learning framework supporting hand teleoperation, dexterous grasping, in-hand manipulation, humanoid locomotion, gait generation, and interactive mot...
Results reveal substantial challenges in task generalization and visuomotor robustness, establishing DexVerse as a promising testbed for general-purpose dexterous manipulation.
Experiments show that DenseReward outperforms general-purpose VLMs and existing robotic reward models in dense reward prediction across both simulated and real-world manipulation, and provides effective reward guidance for downstream model predictive control and reinforcement learning.
The effectiveness of Any body, a unified whole-body humanoid controller driven by an arbitrary subset of body keypoints chosen at deploy time, is demonstrated by tracking large-scale human motions from arbitrary keypoint subsets, free-form control, flexibly teleoperating, and learning downstream behaviors including loc...
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