Bernard F. Buxton
Papers
2
Total Citations
31
H-Index
2
About
Bernard F. Buxton’s research lies at the intersection of computer vision, robotics, and autonomous systems, with a particular focus on machine perception for agricultural and industrial applications. His most cited work, "An Autonomous Crop Treatment Robot: Part I," introduces a Kalman filter-based model for localization and crop/weed classification, enabling an autonomous vehicle to navigate structured horticultural environments by visually tracking individual cauliflower plants. This contribution, with 29 citations, demonstrates his pioneering approach to integrating real-time vision with robotic control for precision agriculture. Buxton also contributed to the ESPRIT VOILA Vision Research Pilot Project, developing a stereo vision system for automated guided vehicle (AGV) control, as detailed in his 1991 paper. His work bridges theoretical advances in filtering and stereo imaging with practical robotic systems, laying groundwork for modern agricultural robotics. Though his citation counts reflect a niche but impactful career, Buxton’s research remains a touchstone for engineers developing vision-guided autonomous platforms in constrained, real-world settings.
Research Focus
Key Achievements
Top Papers
- 1
- 2Developing a stereo vision system for control of an AGV2 citations · 1991