Papers
9
Total Citations
320
H-Index
5
About
Manh Duong Phung is a leading researcher in autonomous robotics, specializing in path planning, localization, and multi-sensor fusion for unmanned aerial vehicles (UAVs) and mobile robots. His most impactful work, "Enhanced discrete particle swarm optimization path planning for UAV vision-based surface inspection" (274 citations), introduced a novel optimization algorithm that dramatically improves UAV efficiency in autonomous inspection tasks, setting a benchmark in the field. Phung has also made foundational contributions to robot localization under uncertainty, developing fuzzy neural network-based extended Kalman filters and addressing challenges like random communication delay and packet loss in networked systems. His recent work on multisensor data fusion for obstacle avoidance, combining depth cameras and LiDAR, demonstrates his commitment to reliable real-world navigation. Beyond technical innovations, Phung has advanced Internet-based robotic control and tele-guidance systems, incorporating fuzzy logic to handle network uncertainties. His research extends to socially-aware robot navigation, with ongoing work on real-time human interaction recognition from RGB-D cameras. With a career spanning foundational algorithms to cutting-edge swarm and social robotics, Phung’s work is essential reading for anyone interested in robust, intelligent autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 4Multisensor Data Fusion for Reliable Obstacle Avoidance8 citations · 2022
- 5Control of Internet-based robot systems using multi transport protocols6 citations · 2012
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