Papers
11
Total Citations
172
H-Index
9
About
Shize Lin is an interdisciplinary robotics and biomedical engineering researcher whose work bridges advanced motion planning, robotic manufacturing, and surgical innovation. His research spans three interconnected domains: time-optimal trajectory planning for robotic and CNC systems, robot-assisted additive manufacturing, and smart biomedical implants and surgical devices. Among his most influential contributions, Lin has advanced online time-optimal trajectory planning algorithms that enable real-time, feasibility-guaranteed motion generation for constrained multi-axis systems, with his trajectory planning papers collectively accumulating over 57 citations. His work on task space contouring error control (23 citations) has directly addressed precision challenges in industrial robotic machining. Notably, Lin pioneered subaqueous bioprinting with 7-axis robotic minimally invasive surgery for fetal membrane repair (17 citations), demonstrating a rare translation of robotic precision into life-saving clinical applications. His development of laser direct-write sensors on CFR-PEEK orthopedic implants (34 citations) introduced real-time strain monitoring capabilities for next-generation smart implants. With a growing body of work exceeding 170 cumulative citations, Lin represents an emerging voice in intelligent robotics, pushing boundaries from factory floors to operating rooms.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6Real-Time Local Greedy Search for Multiaxis Globally Time-Optimal Trajectory16 citations · 2023
- 7Learning Semantic Keypoint Representations for Door Opening Manipulation12 citations · 2020
- 8
- 9
- 10