Richard Bailey
Papers
2
Total Citations
17
H-Index
2
About
Richard Bailey is a pioneering researcher in the field of unmanned ground vehicles (UGVs), with a specific focus on multi-degree-of-freedom (DOF) robotic systems. His work addresses the fundamental challenge of enabling complex, many-DOF robots to navigate dynamic and unstructured environments—a problem inspired by the fractal complexity of nature, as noted in his most-cited paper (2004, 14 citations). Bailey’s key contributions lie in developing adaptive control and learning mechanisms that allow UGVs to autonomously coordinate their numerous motion degrees of freedom, overcoming the limitations of human teleoperation. His research emphasizes real-time sensor-effector loops, enabling robots to maintain mobility and stability in cluttered or irregular terrain. In his foundational paper (2004, 3 citations), Bailey laid the groundwork for onboard learning and adaptation, proposing systems that can quickly adjust to environmental changes. Though his citation counts are modest, his work is notable for addressing a core robotics problem: how to make highly articulated vehicles as agile and resilient as biological organisms. Bailey’s insights continue to inform the design of search-and-rescue robots, planetary rovers, and autonomous off-road vehicles.
Research Focus
Key Achievements
Top Papers
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