Papers
85
Total Citations
3,944
H-Index
30
About
Hung Manh La is a prominent robotics researcher whose work spans structural health monitoring, robot manipulation, multi-robot systems, and autonomous navigation. Best known for his pioneering contributions to automated bridge inspection, La developed robotic systems and novel algorithms—including the STRUM crack detection method—that have transformed how civil infrastructure is assessed, replacing error-prone manual inspection with precise, autonomous solutions. His 2014 paper on automated crack detection has garnered over 460 citations, while his robotic crack inspection and mapping systems have collectively reshaped bridge maintenance practices. Beyond infrastructure, La has made significant strides in robot manipulation, proposing dynamic neural network approaches to optimizing manipulability in redundant robotic arms (374 citations), and contributing a widely referenced review of deep reinforcement learning for robot manipulation (252 citations). His research extends into multi-robot coordination, cooperative learning for predator avoidance, and SLAM techniques for autonomous driving. With a body of work exceeding 2,100 cumulative citations across his top publications, La's interdisciplinary expertise bridges robotics, machine learning, and civil engineering, making him an influential figure for researchers tackling real-world automation and infrastructure safety challenges.
Research Focus
Key Achievements
Top Papers
- 1Automated Crack Detection on Concrete Bridges461 citations · 2014
- 2
- 3Review of Deep Reinforcement Learning for Robot Manipulation252 citations · 2019
- 4A Robotic Crack Inspection and Mapping System for Bridge Deck Maintenance201 citations · 2014
- 5
- 6Multirobot Cooperative Learning for Predator Avoidance144 citations · 2014
- 7A Review of SLAM Techniques and Security in Autonomous Driving136 citations · 2019
- 8Developing a crack inspection robot for bridge maintenance124 citations · 2011
- 9Development of an autonomous bridge deck inspection robotic system120 citations · 2017
- 10