Stanly Samuel

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About

Stanly Samuel is a researcher whose work bridges robotics, control theory, and formal methods, with a focus on motion planning and resilient system design. His early contributions include the numerical determination of optimal non-holonomic paths for robots with kinematic constraints—such as car-like robots with bounded turning radii—where he optimized both arc length and steering angle changes. This foundational work, published in 2002 and cited 12 times, addresses the challenge of path planning in obstacle-rich environments under nonholonomic constraints. More recently, Samuel has advanced the field of Abstraction-Based Controller Design (ABCD), developing resilient controllers for perturbed nonlinear dynamical systems that must satisfy complex linear-time temporal logic specifications. His 2020 paper on this topic, with 3 citations, introduces a finite-state abstraction approach to ensure system robustness against disturbances. By combining rigorous mathematical modeling with practical control synthesis, Samuel’s work contributes to the safe and reliable operation of autonomous systems, making his research valuable for students and engineers working at the intersection of robotics, control, and formal verification.