Introduces a unified RL policy that jointly handles force and position control on quadrupedal and humanoid robots without force sensors, enabling position+force tracking, compliant behaviors, and force-aware imitation learning for contact-rich tasks.

Enables contact-rich robotic manipulation using a VLA model trained with tactile sensing data but requiring no tactile input at inference time. Distills haptic knowledge into the vision-language-action policy.

Proposes a lightweight VLA model leveraging deep state space models (SSMs) instead of transformers for efficient mobile manipulation. Targets resource-constrained deployment scenarios with competitive performance.

Decouples cognition from control in a VLM-based navigation policy, delivering 35% POI arrival gains and over 92% success rates in complex indoor and outdoor scenes.

Provides scene-conditioned planning, context-isolated skill execution, multi-modal memory, and self-evolution capabilities for long-horizon embodied tasks.

Transforms unstable on-policy distillation into a stable training paradigm via dynamic proximal teacher construction, improving sample efficiency without additional computational overhead.

A new humanoid whole-body control method that distills complementary teachers for agentic task-space control on humanoids. The approach enables robust whole-body coordination for complex manipulation tasks.

A unified open framework for real-robot policy iteration that integrates teleoperation data collection, model training, deployment, and evaluation into a single closed-loop pipeline.

First large-scale model to learn complex physical dynamics, visual reasoning, and long-horizon planning directly from visual demonstrations without text chains; released with 310k SFT and 3k RL samples across 16 sources alongside the VR-X benchmark.

Converts any pretrained vision-language model into a vision-language-action model with zero architectural changes by prepending natural-language action descriptions; reaches 90.8% success on LIBERO with a 2B model after less than 6 hours of post-training.