Papers
6
Total Citations
27
H-Index
4
About
Jumpol Polvichai is a pioneering researcher in autonomous robotics and intelligent control systems, with a career spanning over two decades. His primary research areas include evolutionary robotics, behavior-based control, human-robot interaction, and multi-robot coordination. Polvichai’s major contributions lie in integrating evolutionary algorithms with behavior-based architectures, as demonstrated in his foundational work on evolutionary behavior programming systems for mobile robots operating in dynamic environments. He proposed a novel approach that allows robots to automatically generate and adapt their control systems through staged evolution and dynamic networks, a concept that has been cited in multiple studies (7 citations each for his 2003 and 2004 papers). His work extends to practical applications, including a bartender robot that uses human attention cues for trajectory generation and a fuzzy-controlled greeting robot designed for visitor assistance. Polvichai has also contributed to multi-robot formation control using fuzzy logic, enabling autonomous geometry formation and obstacle avoidance. With a total of over 20 citations across his most-cited works, Polvichai’s research bridges theoretical advances in evolutionary computation with real-world robotic systems, making him a notable figure in the field of intelligent robotics.
Research Focus
Key Achievements
Top Papers
- 1Applying dynamic networks and staged evolution for soccer robots7 citations · 2004
- 2
- 3Learning a visual task by genetic programming5 citations · 2002
- 4Trajectory generation based on human attention for a bartender robot4 citations · 2013
- 5Multi modular robots maneuver for geometry formation control3 citations · 2014
- 6