Hung-Ching Lin

About

Hung-Ching Lin is a robotics researcher whose work spans soft robotics, surgical training, and human-robot collaboration. His key research areas include soft robotic locomotion and grasping, virtual reality (VR) simulators for medical training, mixed reality interfaces, and low-cost educational robotics. Lin’s major contributions include developing soft robots that combine locomotion and grasping functionalities, addressing a critical challenge in the field (24 citations). He also created the first VR simulator for robot-assisted minimally invasive liver surgery, validated with kinematic data for skill assessment (17 citations). His recent work on mixed reality and digital twin interfaces for multi-robot collaborative tasks (2025) and the UMIRobot, an open-source, low-cost robotic manipulator for education (2023), demonstrate his commitment to accessible, intuitive robotics. Lin’s research has garnered over 46 citations, with notable achievements including pioneering VR surgical training tools and advancing soft robot multifunctionality. His innovative, interdisciplinary approach continues to shape robotics for healthcare, education, and collaborative automation.

Research Focus

Key Achievements

Top Papers

1. 1
   Combining Locomotion and Grasping Functionalities in Soft Robots

   24 citations · 2019
2. 2
   Development and Validation of a Virtual Reality Simulator for Robot-Assisted Minimally Invasive Liver Surgery Training

   17 citations · 2022
3. 3
   Mixed Reality and Digital Twin Interface for Robot Collaborative Tasks

   2 citations · 2025
4. 4
   UMIRobot: An Open-{Software, Hardware} Low-Cost Robotic Manipulator for Education

   2 citations · 2023
5. 5
   Transferability of compliance error compensation parameters in articulated robots

   1 citations · 2025

Key Collaborators

Contact & Links