Andrew Dobson

Senior Research Scientist

Specializing in the empirical validation of motion planning algorithms, Andrew Dobson focuses on high-dimensional configuration spaces.

His work emphasizes scientific precision, utilizing rigorous benchmarking to evaluate asymptotic optimality in sampling-based methods.

By integrating empirical evidence with algorithmic theory, he ensures that autonomous systems maintain reliability and efficiency across complex, non-linear robotic manifolds and constrained environments.

Credentials: Ph.D. in Computer Science, Senior Member of IEEE Robotics and Automation Society

Contact: [email protected]

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