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Humanplus
Overview :
HumanPlus is a research project aimed at training humanoid robots to learn skills autonomously by imitating human actions. The project simulates reinforcement learning to train low-level policies, applying these policies to the real world for real-time tracking of human body and hand movements. Through shadow imitation techniques, operators can remotely control the robot to collect full-body data for learning different tasks. Additionally, behavior cloning techniques enable the robot to imitate human skills and perform various tasks.
Target Users :
HumanPlus is designed for researchers and developers in robotics, artificial intelligence, and human-computer interaction. It helps them understand human actions and train robots to imitate these actions, leading to more natural human-robot interaction and more advanced autonomous task execution.
Use Cases
Wear shoes, stand up, and walk
Unload items from a warehouse shelf
Fold a T-shirt
Rearrange items
Typing
Greeting another robot
Features
Simulate reinforcement learning to train low-level policies
Real-time tracking of human body and hand movements
Remotely operate the robot to collect full-body data
Behavior cloning technique to train skill policies
Imitate human skills to complete autonomous tasks
Customize 33-DoF 180cm humanoid robot
High success rate in completing various tasks
How to Use
1. Train low-level policies in the simulated environment
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2. Apply the policies to the real world for shadow imitation
3. Collect full-body data through remote operation
4. Train behavior cloning using the collected data
5. Train the robot to imitate human skills
6. Let the robot autonomously complete designated tasks
