Papers
12
Total Citations
111
H-Index
6
About
Quang Dan Le is a robotics and control systems researcher whose work centers on advanced control strategies for robot manipulators, with particular emphasis on fault-tolerant control, sliding mode techniques, and human-robot interaction. His most impactful contributions lie in the development of synchronous sliding mode controllers that enable robot manipulators to maintain reliable performance even in the presence of joint faults, uncertainties, and external disturbances. His paired 2020 publications on synchronous and terminal sliding mode fault-tolerant control — each accumulating 25 citations — established him as a notable voice in robust robotic control, demonstrating how synchronization errors can be exploited to inherently compensate for actuator faults. Le has progressively extended this framework through finite-time, fixed-time, and neural network-augmented approaches, reflecting a systematic research trajectory. Beyond fault tolerance, he has made meaningful contributions to sensorless force estimation in collaborative robots, enabling safer physical human-robot interaction without dedicated force sensors. His 2023 work on push-grasp synergy for dense object clusters further demonstrates breadth across manipulation planning. With over 100 cumulative citations, Le's research offers practical, implementable solutions that bridge theoretical control design and real-world robotic deployment.
Research Focus
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- 10Sensor-Less Contact Force Estimation in Physical Human-Robot Interaction4 citations · 2021