ULTRA unifies motion tracking and sparse goal control in a single policy for humanoid robots, combining physics-driven motion retargeting, policy distillation, and RL fine-tuning, validated on Unitree G1 with first-person point cloud perception.
Light Source Innovation, founded by ex-OpenAI RLHF expert Jiang Xu, releases LightNav-0 for zero-shot cross-morphology navigation and Light REACT for whole-body resilience control, applying LLM-style scalable pre-training, alignment, and deployment paradigms to embodied AI with sim-to-real synthetic data and preference-aligned RL.
Liangyuan Xinchang releases LightNav-0, a zero-shot navigation model deployable across robot morphologies, and Light REACT, a resilient whole-body control policy that recovers from falls and damage, applying the LLM pre-training/alignment/deployment paradigm to embodied AI.
OpenHLM presents an open‑source VLA recipe that lets humanoid robots coordinate arms, torso, legs, and feet under vision‑language commands, using decoupled whole‑body teleoperation, multi‑step flow generation, and low‑cost data sources to achieve superior whole‑body loco‑manipulation performance on the HLM‑12 benchmark.
