Manop Wongsaisuwan
Papers
6
Total Citations
40
H-Index
4
About
Manop Wongsaisuwan is a leading researcher in autonomous robotics, sensor fusion, and control systems, with a focus on enabling robots to navigate and operate reliably in complex, uncertain environments. His most cited work, "Sensor fusion of delay and non-delay signal using Kalman Filter with moving covariance" (13 citations), addresses a critical challenge in mobile robotics: compensating for wheel slippage in omni-directional robots by fusing delayed and real-time sensor data from accelerometers, gyroscopes, and computer vision. This contribution enhances robot localization and stability, directly impacting autonomous navigation. Wongsaisuwan also spearheaded the development of the Plasma-RX team of rescue robots (8 citations), designed for urban search and rescue missions, equipped with differential drive tracks, flippers, and an array of sensors including thermopile arrays and CO2 detectors. His work on Unscented SLAM integrated with path planning algorithms (8 citations) advances truly autonomous exploration by combining mapping and goal-directed navigation. More recently, he has explored obstacle avoidance using mmWave radar imaging systems (5 citations), integrating radar sensors with RRT algorithms for robust path generation. With a career spanning from variable structure control for flexible robot arms to cutting-edge radar-based navigation, Wongsaisuwan’s research consistently pushes the boundaries of robot autonomy and sensor integration.
Research Focus
Key Achievements
Top Papers
- 1
- 2Plasma-RX: Autonomous Rescue robots8 citations · 2009
- 3A study on Unscented SLAM with path planning algorithm integration8 citations · 2014
- 4Obstacle Avoidance using mmWave Radar Imaging System5 citations · 2020
- 5An Improvement of Ensemble Kalman Filter for OOSM Tracking4 citations · 2011
- 6VARIABLE STRUCTURE CONTROL FOR ONE-LINK FLEXIBLE ROBOT ARM2 citations · 2000