Papers
6
Total Citations
59
H-Index
5
About
Pished Bunnun is a robotics researcher whose work centers on autonomous mobile robots, visual simultaneous localization and mapping (VSLAM), and multi-robot coordination. His major contributions include advancing relocalization in VSLAM by integrating object detection to overcome speed limitations in indoor mobile robot applications, and developing real-time 3D SLAM systems for dynamic walking humanoid robots—a challenging feat given processing constraints. Bunnun has also designed autonomous mobile robot platforms with Mecanum wheels for industrial use, and proposed a virtual spring-damper method for formation control of omnidirectional robots in cooperative transportation tasks. His work on generator inspection vehicles demonstrates practical applications in industrial maintenance, reducing downtime by eliminating the need for rotor removal. With papers accumulating over 60 citations, Bunnun’s research bridges theoretical SLAM advances with deployable robotic solutions. Notably, his 2013 work on humanoid robot SLAM and his 2019 contributions to multi-robot formation control highlight his impact on both hardware integration and algorithmic innovation, making him a key figure in autonomous navigation and industrial robotics.
Research Focus
Key Achievements
Top Papers
- 1Improving Relocalization in Visual SLAM by using Object Detection13 citations · 2022
- 2Development of Autonomous Mobile Robot Platform with Mecanum Wheels13 citations · 2019
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