Nguyen Tran

Nguyen Tran is a Doctoral Researcher affiliated with the School of Business and the Department of Information and Service Management. Their work focuses on advancing robotic grasping and manipulation techniques through data-driven and physics-based approaches.

• Research Interests: Robotics, Soft Robotics, Machine Learning, Human-Robot Interaction, Haptics, and physical property modeling for robotic systems.
• Recent Work: Developments in deformable object manipulation, 6-DOF grasp sampling, and multi-fingered hand designs inspired by human anatomy.
• Technical Contributions: Novel algorithms like SPONGE for contact prediction, force control systems for safe grasping, and simulation-based quality metrics for deformable object interactions.