Human2Any: Human-to-Robot Transfer via Constraint-Aware Compositional Planning Researchers Shuo Cheng, Chuye Zhang, Alfred Cueva, Caelan Garrett, Ajay Mandlekar, and Danfei Xu published "Human2Any: Human-to-Robot Transfer via Constraint-Aware Compositional Planning" at CoRL 2026 on Monday, November 9, 2026, describing a method for transferring human skills to robots through constraint-aware compositional planning. The work spans Georgia Tech and NVIDIA research affiliations and falls under artificial intelligence, machine learning, and robotics. Research Labs All Research Labs Spatial Intelligence Applied Research Autonomous Vehicles Deep Imagination Publications AI Playground New and Featured AI Art Gallery NGC Demos Research Areas AI & Machine Learning 3D Deep Learning Computer Vision Robotics All Areas Careers Academic Collaborations Government Collaborations Graduate Fellowship Internships Research Openings Research Scientists Meet the Team Licensing Skip to main content Research Labs All Research Labs Spatial Intelligence Applied Research Autonomous Vehicles Deep Imagination Publications AI Playground New and Featured AI Art Gallery NGC Demos Research Areas AI & Machine Learning 3D Deep Learning Computer Vision Robotics All Areas Careers Academic Collaborations Government Collaborations Graduate Fellowship Internships Research Openings Research Scientists Meet the Team Licensing Search Search Enter the terms you wish to search for. Publications Human2Any: Human-to-Robot Transfer via Constraint-Aware Compositional Planning Human2Any: Human-to-Robot Transfer via Constraint-Aware Compositional Planning Authors Shuo Cheng Georgia Tech Chuye Zhang Georgia Tech Alfred Cueva Georgia Tech Caelan Garrett Ajay Mandlekar Danfei Xu Publication Date Monday, November 9, 2026 Published in CoRL 2026 Research Area Artificial Intelligence and Machine Learning Robotics