Malcolm Carr‐West
Papers
2
Total Citations
87
H-Index
2
About
Malcolm Carr‐West is a pioneering researcher in autonomous mobile robotics, with a specific focus on sustainable agriculture. His work lies at the intersection of robotics, artificial intelligence, and precision farming, where he has made foundational contributions to the development of intelligent, adaptive agricultural vehicles. Carr‐West is best known for his early and influential work on online learning and adaptation for autonomous robots in outdoor environments, a field in which his 2002 paper has garnered 55 citations. His most notable contribution, a 2003 study with 32 citations, details the design of a fuzzy-controlled autonomous robot that integrates genetic algorithm-based rule learning. This system was engineered for critical agricultural tasks such as path and edge following during insecticide spraying, fertiliser distribution, ploughing, and harvesting. By embedding adaptive learning agents directly into vehicle control systems, Carr‐West demonstrated how robots could autonomously navigate and operate in the unstructured, variable conditions of real farms. His research not only advanced the theoretical underpinnings of fuzzy-genetic control but also provided a practical, scalable blueprint for the next generation of sustainable, automated agriculture.
Research Focus
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Top Papers
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