Amanda Bessell

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About

Amanda Bessell is a researcher specializing in autonomous systems and underwater robotics, with a particular focus on trajectory planning for autonomous underwater vehicles (AUVs). Her most-cited work, "Dynamic Target Driven Trajectory Planning using RRT" (2019), addresses the critical challenge of enabling an AUV to autonomously navigate back to a moving recovery vessel using only passive, angle-only sensors. This contribution is vital for real-world AUV deployment, where reliable homing and recovery are essential. While her citation count is still growing, Bessell’s work demonstrates a clear, applied impact in the field of marine robotics, blending motion planning algorithms with sensor constraints. Her research is particularly notable for tackling the dynamic, real-time nature of AUV operations, moving beyond static path planning to handle moving targets. For students and researchers interested in the intersection of robotics, control theory, and marine engineering, Bessell’s work offers a practical and innovative approach to autonomous navigation in challenging environments.