Hang Yang

Hang Yang

he/him

PhD candidate in Mathematics at UMass Amherst. Researching machine learning, robotics, and deep learning — including mobile motion capture with robot dogs, invertible neural networks for image steganography, and vision transformers for medical AI.

AmazingHand: Dexterous Robotic Hand Build

AmazingHand

GitHub: pollen-robotics/AmazingHand

A fun personal build of the open-source AmazingHand project by Pollen Robotics. AmazingHand is a 3D-printed dexterous robotic hand with independently actuated fingers.

Build Details

  • 5-finger design with independently actuated fingers and thumb
  • Servo-driven joints connected via a tendon-based mechanism
  • 3D-printed with white PETG (palm) and black PET-CF (finger segments)
  • Modular connector wiring throughout

AmazingHand robotic hand build