Papers
13
Total Citations
236
H-Index
9
About
William Smith is a robotics researcher whose work spans multi-robot systems, off-road mobility, and energy-aware autonomy. His research career has produced foundational contributions in two interconnected domains: terramechanics-based modeling of wheeled locomotion and intelligent planning for autonomous robot teams operating in complex, uncertain environments. Smith's early work established efficient analytical models for wheel-terrain interaction in deformable soils, enabling real-time simulation and safe operation of off-road mobile robots — papers that have collectively earned over 80 citations. Building on this physical foundation, he later turned to the challenge of energy uncertainty in unstructured environments, developing probabilistic spatial mapping techniques that allow robots to predict power consumption and plan accordingly, garnering 37 citations for a landmark 2019 study alone. His more recent research has scaled these ideas to multi-robot systems, producing stochastic programming frameworks for heterogeneous teams that simultaneously optimize task assignment, scheduling, and resource constraints — work recognized with 43 citations since 2022. From pandemic response robotics to reconnaissance missions in hazardous terrain, Smith's contributions consistently bridge rigorous mathematical modeling with real-world applicability, making him a significant voice in the field of field robotics and autonomous systems.
Research Focus
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