Papers
4
Total Citations
31
H-Index
3
About
Kim Tien Ly is a leading researcher in robotics, specializing in haptic shared control, task and motion planning (TAMP), and robotic manipulation. His work focuses on enabling robots to operate safely and efficiently in complex, real-world environments. Ly’s major contributions include the development of an intent-aware predictive haptic guidance system for teleoperation, which dynamically adjusts robotic assistance based on predicted human motion, a paradigm that has garnered 18 citations. He has also advanced inspection and monitoring capabilities with an asymptotically optimized multi-surface coverage path planning algorithm for loco-manipulation, addressing the challenge of navigating complex 3D surfaces. In the realm of TAMP, Ly introduced R-LGP, a reachability-guided logic-geometric programming framework that optimally solves hybrid planning problems on mobile manipulators. His recent work on learning generalizable manipulation policies using adapter-based parameter fine-tuning marks a significant step toward scalable, cross-robot skill transfer. With a growing citation impact and contributions published in top venues, Ly is shaping the future of autonomous, adaptive robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4