Yves Bergeon
Papers
10
Total Citations
52
H-Index
4
About
Yves Bergeon’s research lies at the intersection of low-cost robotics, 3D mapping, and sensor-based navigation, with a strong emphasis on making advanced robotic systems accessible and practical. His most cited work, “Low cost 3D mapping for indoor navigation” (14 citations), demonstrates how a consumer-grade Kinect scanner can enable a robot to map rooms and localize itself using SIFT feature points—a breakthrough for affordable autonomous navigation. Equally impactful is his “Indirect method to estimate distance measurement based on single visual cameras” (also 14 citations), which uses triangulation to accurately gauge object distances from a single camera, reducing hardware costs while maintaining precision. Bergeon has also advanced swarm robotics by designing an open hardware bridge that unifies control of heterogeneous differential-drive robots, as seen in his 2018 paper. Beyond technical innovation, he is dedicated to engineering education, publishing on proactive mechatronics teaching and using LEGO Mindstorms to inspire new engineers. His work on sensor placement optimization for unmanned ground vehicles further underscores his commitment to simulation-driven design. With a career spanning cost-effective mapping, visual distance estimation, and educational robotics, Bergeon’s contributions are shaping how students and researchers build smarter, more accessible robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Low cost 3D mapping for indoor navigation14 citations · 2015
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- 6Differential Drive Robot: Spline-Based Design of Circular Path3 citations · 2016
- 7Stereo vision for teleoperated robot3 citations · 2014
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- 9Optical sensor in control of LEGO robot2 citations · 2016
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