- GPR: Grasp Pose Refinement Network for Cluttered Scenes
- Multi-Modal End-Effector for Grasping based on Multi-task learning
- Coarse to Fine Dexterous Five-figured Grasping base on Generative Model
Build a bionic biped robot system with agility,high efficiency and intelligence
- High power density
- High precision
- Rapid movement
- Bionic design
- Control strategy verification
- Iterative optimal with minimum energy cost
- Motion planning for obstacle avoidance
- Adaptive algorithm to various terrains
- Strategy design for complex tasks
- Multi-person
- RGBD
- Even Monocular
- Real-time
- Pose estimation