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OmniCalib, a target-free workflow that calibrates the full upper limbs---all 14 arm joint zeros and the extrinsics of both wrist and chest cameras---as well as lower limbs and the multi-camera head rig, and writes only supported corrections to the CAD model.
Calibration without external systems can cut foot-height errors in humanoid robots by over 50%, enhancing kinematic accuracy in real-world applications.
Continuous reliability weights for foot kinematics can slash trajectory errors by over 83% in dynamic locomotion scenarios.
Achieving over 97% success in long-horizon robot manipulation, TemporalFlow-VLA reveals the critical role of execution history in action prediction.
V-Link bridges the gap between visual perception and action control, boosting robotic manipulation success rates by up to 31.2% through enhanced feature integration.
OVIP-SG outperforms existing frameworks by preserving small object instances and enhancing retrieval accuracy, revolutionizing the mapping of fine-grained objects in 3D environments.
MVUCF achieves a remarkable 98.9% on LIBERO, showcasing a 22.4-point improvement on LIBERO-Plus and a 23.3-point increase in task success rates, all without additional inference costs.
