Peter A. Morgan

Papers

Total Citations

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About

Peter A. Morgan is a robotics researcher whose work centers on vision-based control systems for mobile robots, with a particular focus on uncalibrated methods that enhance adaptability and ease of deployment. His most cited paper, "Uncalibrated Vision-Based Control of Two-Wheeled Mobile Robots" (2001), introduces a quasi-Newton approach with Jacobian estimation, enabling robots to follow moving targets without requiring prior camera calibration or known kinematics. This contribution addresses a fundamental challenge in robotics—reducing the need for precise system modeling—and has garnered 3 citations, reflecting its niche but foundational role in the field. Morgan's research bridges control theory and computer vision, offering practical solutions for autonomous navigation in dynamic environments. His work is particularly valuable for students and researchers exploring robust, calibration-free control strategies, as it demonstrates how adaptive algorithms can simplify real-world robot deployment. While his citation count is modest, the conceptual clarity and problem-solving focus of his research make it a useful reference for those developing vision-guided mobile systems.