Andrew Bate

Robotics Research (United States), Dorking Community Hospital

Papers

Total Citations

204

H-Index

About

Andrew Bate is a leading researcher at the intersection of agricultural robotics and computer vision, dedicated to transforming broad-acre farming through automation. His major contributions center on developing cost-effective, vision-based systems that enable small autonomous robots to navigate and detect obstacles in complex field environments—a critical step toward replacing large, human-driven machinery with sustainable robotic fleets. Bate’s most influential work, “Vision‐Based Obstacle Detection and Navigation for an Agricultural Robot” (2016), has garnered 152 citations, underscoring its foundational role in the field. In his follow-up article, “Farm Workers of the Future: Vision-Based Robotics for Broad-Acre Agriculture” (2017, 48 citations), he articulates a compelling vision for how robotics can address the dual pressures of feeding a growing population and reducing environmental impact. More recently, Bate has expanded into health data science, as seen in his 2020 paper on automation for real-world evidence generation. His work consistently emphasizes practical, scalable solutions that balance innovation with economic viability, making him a key voice in the sustainable intensification of agriculture and the broader application of robotics.