CoRL 2025PastRobotics
Human to Robot: Workshop on Sensorizing, Modeling, and Learning from Humans
H2R CoRL 2025 Workshop
- Submission deadline
- Sep 4, 2025, 20:00 UTCimported from OpenReview — check the website for extensions
- Submission portal
- OpenReview
- Notes
- Topics were auto-suggested and may be imprecise — edits welcome.
Accepted papers (26)
Fetched from OpenReview (v2) on 2026-06-10.
2HandedAfforder: Learning Precise Actionable Bimanual Affordances from Human Videos
AGRL: Affordance-Guided Reinforcement Learning from Human Video
Compliant Residual DAgger: Improving Real-World Contact-Rich Manipulation with Human Corrections
DexUMI: Using Human Hand as the Universal Manipulation Interface for Dexterous Manipulation
Diffusion-SSM based Policy Learning for Multi-Granularity Action Prediction
EgoBridge : Domain Adaptation for Generalizable Imitation from Egocentric Human Data
EMMA: Scaling Mobile Manipulation via Egocentric Human Data
Hand-Eye Autonomous Delivery: Learning Humanoid Navigation, Locomotion and Reaching
HERMES: Human-to-Robot Embodied Learning from Multi-Source Motion Data for Mobile Dexterous Manipulation
HuB: Learning Extreme Humanoid Balance
ImMimic: Cross-Domain Imitation from Human Videos via Mapping and Interpolation
Leveraging Demonstrator-perceived Precision for Safe Interactive Imitation Learning of Clearance-limited Tasks
Masked Inverse Reinforcement Learning for Language Conditioned Reward Learning
Masquerade: Learning from In-the-wild Human Videos using Data-Editing
MotionTrans: Human VR Data Enable Motion-Level Learning for Robotic Manipulation Policies
Perspective-Aware Reasoning in Vision-Language Models via Mental Imagery Simulation
Physically Consistent Humanoid Loco-Manipulation using Latent Diffusion Models
Robust Instant Policy: Leveraging Student's t-Regression Model for Robust In-context Imitation Learning of Robot Manipulation
ROSE: Reconstructing Objects, Scenes, and Trajectories from Casual Videos for Robotic Manipulation
Towards Personalizing Shared Autonomy with Human-in-the-Loop Robot Programs
UniSkill: Imitating Human Videos via Cross-Embodiment Skill Representations
UniTracker: Learning Universal Whole-Body Motion Tracker for Humanoid Robots
Vision in Action: Learning Active Perception from Human Demonstrations
Wearable Robotics Assisted Bipedal Balance and Locomotion Control with Whole-body Musculoskeletal Simulations
Where Do We Look When We Teach? Analyzing Human Gaze Behavior Across Demonstration Devices in Robot Imitation Learning
X-Sim: Cross-Embodiment Learning via Real-to-Sim-to-Real