Bryan Gilliam
Papers
2
Total Citations
8
H-Index
2
About
Bryan Gilliam is a researcher at the forefront of agricultural robotics, specializing in autonomous navigation, computer vision, and precision agriculture. His work focuses on integrating advanced robotic systems into farming environments to improve efficiency and reduce manual labor. Gilliam’s major contributions include the development of path planning and mapping algorithms for autonomous agricultural robots using the Robot Operating System (ROS) and Gazebo simulation environment. His 2023 paper on this topic, which has garnered 6 citations, demonstrates how real-time communication between ROS and MATLAB enables robust object detection and visualization for field navigation. Additionally, his research on tomato crop identification employs shape-based computer vision techniques to recognize ripe fruit, achieving a novel approach to object recognition with 2 citations. By bridging simulation and practical deployment, Gilliam’s work lays the groundwork for scalable, intelligent farming solutions. His achievements highlight the growing role of robotics in sustainable agriculture, making his research essential reading for students and engineers interested in autonomous systems, sensor integration, and the future of agri-tech.
Research Focus
Key Achievements
Top Papers
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- 2