Mi Lai
Papers
1
Total Citations
11
H-Index
1
About
Mi Lai is a researcher in robotics and automation, specializing in adaptive manipulation and tactile sensing for unstructured environments. Her work focuses on under-actuated gripper design, where she has pioneered methods for impedance adaptation using tactile array feedback to enable stable grasping in unknown conditions. Her 2018 paper, "Experiment on impedance adaptation of under-actuated gripper using tactile array under unknown environment," has garnered 11 citations, establishing her as a contributor to the field of soft and adaptive robotics. This research addresses critical challenges in robotic handling of delicate or irregular objects without prior environmental knowledge, with applications in manufacturing, prosthetics, and human-robot interaction. Lai's work stands out for its integration of real-time tactile data with control algorithms, bridging the gap between theoretical adaptation models and practical robotic systems. Her contributions are particularly relevant for advancing autonomous manipulation in dynamic settings, laying groundwork for more resilient and intuitive robotic grippers.
Research Focus
Key Achievements
Top Papers
- 1