Hsin‐Hsin Lo
Papers
2
Total Citations
35
H-Index
2
About
Hsin-Hsin Lo is a robotics researcher whose work addresses a critical challenge in automation: controlling robot manipulators operating from unstable, oscillatory platforms. Her primary research areas include robot manipulator control, hybrid position/force control, and adaptive fuzzy systems. Lo’s most influential contribution, “Pseudo-inverse Jacobian control with grey relational analysis for robot manipulators mounted on oscillatory bases” (2009), has earned 28 citations by introducing a novel method to maintain precision when robots operate from moving bases like ships or vehicles. She further advanced the field with her 2010 study on hybrid position/force control using adaptive fuzzy control, which tackles the complex problem of managing contact forces between a robot and its environment while compensating for base oscillations. This work develops auxiliary control input laws with adaptive network-based fuzzy systems to improve stability and accuracy. Though her citation counts are modest, Lo’s focused contributions are significant for applications in offshore, maritime, and mobile robotics where stable manipulation is essential. Her research bridges theoretical control methods with practical solutions for real-world robotic systems operating in dynamic environments.
Research Focus
Key Achievements
Top Papers
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