SungPyo Lee

About

SungPyo Lee is a robotics researcher whose work bridges the critical gap between robotic manipulation and autonomous mobility. His primary research areas include tendon-driven robotic manipulators, haptic interfaces for skill transfer, and vision-augmented mobile robotics. Lee’s most impactful contribution is the development of a hybrid dynamic model for the AMBIDEX tendon-driven manipulator (2020, 46 citations), a foundational work that enables more accurate control of lightweight, cable-actuated robotic arms. He also introduced the LSP-Bot, a large-size painting mobile robot that uses visual error compensation to overcome the limitations of wheel odometry and IMU sensors, achieving precision painting on expansive surfaces. In bimanual manipulation, Lee designed a proprioceptive haptic device that allows robots to learn complex human skills—such as polishing, peeling, and flipping—through direct demonstration. His work on trajectory tracking for mobile manipulators, using multiple onboard cameras for visual feedback, further demonstrates his commitment to creating robust, real-world robotic systems. Through these contributions, Lee is advancing the frontier of robots that can move, perceive, and manipulate with human-like dexterity.

Research Focus

Key Achievements

Top Papers

1. 1
   A hybrid dynamic model for the AMBIDEX tendon-driven manipulator

   46 citations · 2020
2. 2
   Large Size Painting with Infraless Vision-aided Mobile Robot

   4 citations · 2018
3. 3
   A Proprioceptive Haptic Device Design for Teaching Bimanual Manipulation

   3 citations · 2022
4. 4
   Trajectory Tracking of End Effector on Mobile Robot with Multiple Onboard Cameras

   2 citations · 2019

Key Collaborators

Contact & Links