Kanjanapan Sukvichai
Papers
17
Total Citations
151
H-Index
7
About
Kanjanapan Sukvichai is a robotics researcher whose work spans the design, control, and intelligent navigation of autonomous mobile robots. His primary research areas include robot balancing and locomotion, visual simultaneous localization and mapping (VSLAM), and the integration of deep learning for robotic perception. Sukvichai is best known for his pioneering work on a double-level ball-riding robot, where he led the complete pipeline from system design and modeling to controller synthesis and performance evaluation—a paper that has garnered 29 citations. He has also made significant contributions to underwater robotics, implementing visual odometry estimation on a RaspberryPi 2 using the Robot Operating System (ROS), and to wall-climbing robots with a novel double-propeller design. His work on improving relocalization in VSLAM through object detection, published in 2022, demonstrates his continued impact on indoor robot navigation. With a total of over 130 citations across his most-cited papers, Sukvichai has also contributed to the RoboCup Small-Size League, reflecting his commitment to advancing robot hardware and software for competitive and real-world applications.
Research Focus
Key Achievements
Top Papers
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- 3RoboCup Small-Size League: Past, Present and Future20 citations · 2015
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- 5Design of a double-propellers wall-climbing robot16 citations · 2017
- 6Improving Relocalization in Visual SLAM by using Object Detection13 citations · 2022
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- 10Robot Hardware, Software, and Technologies behind the SKUBA Robot Team4 citations · 2012