Geordan Gutow

Dr. Geordan Gutow is the R.L. Smith Assistant Professor in the Department of Mechanical and Aerospace Engineering at Michigan Technological University (Michigan Tech), joining in Fall 2025. His research focuses on uncertainty-aware optimization-based methods for robotics, particularly in space robotics for in-space servicing and logistics. He emphasizes solving large-scale optimization problems on resource-constrained space computers through mathematical structure exploitation such as precomputation and parallelism.

Education:

• PhD in Robotics, Georgia Institute of Technology (2022)
• B.S. in Mechanical Engineering, Johns Hopkins University

Research Interests:

Dr. Gutow's work spans motion planning, optimization algorithms, and Bayesian reasoning for robotics applications. Key areas include task and motion planning, generalized traveling salesman problems, and parallel algorithms for robotics. His recent projects address multi-agent collective construction, hierarchical planning, and ergodic exploration in complex environments.

Article Trends:

His publications emphasize optimization-based solutions to robotics challenges, with a focus on convex formulations, branch-and-bound methods, and uncertainty-aware path planning. Recent work includes advances in 3D obstacle navigation, multi-agent coordination, and efficient algorithms for space-grade computing constraints.

Advising & Recruitment:

Currently recruiting students at all levels with a passion for learning. No specific awards listed.

Labs/Teams:

Engaged in robotics research groups at Michigan Tech, though specific lab affiliations are not detailed in the provided text.