Alex Cunningham

Georgia Institute of Technology, Toyota Research Institute

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Total Citations

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About

Alex Cunningham is a leading researcher in robotics, specializing in autonomous navigation, mapping, and multi-robot systems. His work focuses on enabling robots to perceive and move through complex environments with high precision and intelligence. Cunningham’s major contributions include pioneering algorithms for constructing drift-free 3D occupancy grids of large indoor spaces by enforcing Manhattan world constraints, a technique that significantly improves mapping accuracy in real-time. His research also explores the critical role of sensory precision in mobile robot localization and mapping, as well as decentralized SLAM (Simultaneous Localization and Mapping) for multi-robot teams, with experimental designs that reveal key trade-offs for challenging environments. Notably, Cunningham developed MPDM (Multi-policy Decision-Making), a framework that bridges autonomous driving and social robot navigation, allowing robots to make safer, more human-aware decisions. With papers cited over 50 times, his work has influenced both academic research and practical robotics applications, particularly in the MAST CTA program, where his insights into small-scale robot teams have advanced collaborative mapping and exploration.