Papers
7
Total Citations
48
H-Index
5
About
Roger Powell is a robotics researcher whose work spans legged locomotion, autonomous navigation, and humanitarian applications of mobile robotics. He is perhaps best known for his contributions to hexapod robot control, particularly in the context of humanitarian demining — a high-stakes domain where precise, reliable robot motion can save lives. His most cited work (2016, 18 citations) introduced a quadratic programming approach to resolve constrained inverse kinematics for six-legged robots, elegantly handling both equality and inequality constraints to enable robust motion planning in complex environments. Subsequent research extended this foundation to operational space control and continuous landmine scanning over rough terrain, demonstrating a sustained commitment to real-world humanitarian impact. More recently, Powell has turned his attention to energy-aware path planning for mobile robots in unstructured outdoor environments, developing a series of Conv1D and Meta-Conv1D deep learning architectures capable of accurately estimating driving energy consumption under real-time constraints and terrain uncertainty. His probabilistic energy prediction work further addresses the critical challenge of uncertainty quantification in off-road autonomy. Across these contributions, Powell exemplifies a researcher bridging rigorous mathematical control theory with practical, socially meaningful robotics applications.
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