Unitree G-1
Emerging24papers using it
2025first seen
The 'Unitree G-1' dataset/benchmark contains motion data for humanoid robots and is used to evaluate the effectiveness of cross-embodiment transfer in whole-body tracking models.
Papers using Unitree G-1 (24)
- Immersive Social Interaction with VR and LLM-Assisted HumanoidsAny2Any: Efficient Cross-Embodiment Transfer for Humanoid Whole-Body TrackingASAP: Aligning Simulation and Real-World Physics for Learning Agile
Humanoid Whole-Body SkillsHANDOFF: Humanoid Agentic Task-Space Whole-Body Control via Distilled Complementary TeachersPredictive Style Matching: Natural and Robust Humanoid LocomotionCooperative Long Rope Skipping via Multi-Agent Reinforcement LearningMotionWAM: Towards Foundation World Action Models for Real-Time Humanoid Loco-ManipulationPRIME: Physically-consistent Robotic Inertial and Motion Estimation for Legged and Humanoid Robotsfrax: Fast Robot Kinematics and Dynamics in JAXDiT4DiT: Jointly Modeling Video Dynamics and Actions for Generalizable Robot ControlKiRAS: Keyframe Guided Self-Imitation for Robust and Adaptive Skill Learning in Quadruped RobotsArticulated-Body Dynamics Network: Dynamics-Grounded Prior for Robot LearningMorphology-Consistent Humanoid Interaction through Robot-Centric Video SynthesisMake Tracking Easy: Neural Motion Retargeting for Humanoid Whole-body ControlZEST: Zero-shot Embodied Skill Transfer for Athletic Robot ControlFRoM-W1: Towards General Humanoid Whole-Body Control with Language InstructionsE-SDS: Environment-aware See it, Do it, Sorted - Automated Environment-Aware Reinforcement Learning for Humanoid LocomotionWorld-Coordinate Human Motion Retargeting via SAM 3D BodyTrajBooster: Boosting Humanoid Whole-Body Manipulation via Trajectory-Centric LearningRoMoCo: Robotic Motion Control Toolbox for Reduced-Order Model-Based Locomotion on Bipedal and Humanoid RobotsFrom Tabula Rasa to Emergent Abilities: Discovering Robot Skills via Real-World Unsupervised Quality-DiversityCLF-RL: Control Lyapunov Function Guided Reinforcement LearningMULE: Multi-terrain and Unknown Load Adaptation for Effective Quadrupedal LocomotionMcARL:Morphology-Control-Aware Reinforcement Learning for Generalizable Quadrupedal Locomotion