Prabhas Chongstitvatana
Papers
7
Total Citations
48
H-Index
4
About
Prabhas Chongstitvatana is a pioneering roboticist whose work bridges computer vision, evolutionary computation, and autonomous systems. His research centers on developing intelligent, adaptive robots capable of operating in dynamic, unstructured environments—a field where he has made foundational contributions over three decades. His most influential work, "An uncalibrated stereo visual servo system" (1990, 19 citations), introduced a groundbreaking approach that allowed robots to guide manipulators to targets without precise camera calibration or kinematic models, fundamentally advancing vision-based robot control. Building on this, Chongstitvatana became a leading figure in applying genetic programming to robotics. His 2002 paper on improving robustness through environmental perturbation (10 citations) demonstrated how evolving robot programs in simulated, noisy conditions creates more resilient real-world behavior. He further extended this paradigm with "Plasma-RX: Autonomous Rescue robots" (2009, 8 citations), developing a multi-sensor tracked robot team for urban search and rescue. His innovative work on online robot learning via human reward and punishment (2003, 5 citations) pioneered flexible, human-in-the-loop training methods. Through his parallel genetic programming research, Chongstitvatana has shaped how evolutionary algorithms scale for complex robotic tasks, establishing him as a key architect of adaptive, vision-guided autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1An uncalibrated stereo visual servo system19 citations · 1990
- 2
- 3Plasma-RX: Autonomous Rescue robots8 citations · 2009
- 4Online robot learning by reward and punishment for a mobile robot5 citations · 2003
- 5Asynchronous Migration in Parallel Genetic Programming2 citations · 1999
- 6Parallel genetic programming: Synchronous and asynchronous migration2 citations · 2001
- 7