Garratt Gallagher

Carnegie Mellon University, Robotics Research (United States)

Papers

Total Citations

783

H-Index

About

Garratt Gallagher is a leading researcher in robotics, with key contributions spanning human-aware navigation, autonomous manipulation, and multi-robot systems. His most influential work, "Planning-based prediction for pedestrians" (2009, 469 citations), pioneered the use of maximum entropy inverse optimal control to model pedestrian goal-directed trajectories, enabling robots to move efficiently without hindering people—a foundational approach for socially-aware navigation. He also led the development of HERB, a home exploring robotic butler (2009, 310 citations), a landmark platform demonstrating integrated manipulation and mobility for domestic service tasks. Earlier, Gallagher contributed to multi-robot SLAM with a behavior-based dynamic tree structure and observer-explorer routine, advancing coordinated exploration in unknown environments. His research has been widely adopted in human-robot interaction and autonomous navigation, with his pedestrian prediction work remaining a cornerstone reference for planning under uncertainty. Gallagher’s achievements include leading the HERB project at Carnegie Mellon University’s Robotics Institute, where his work bridged theoretical planning with practical, real-world robotic systems. His impact is evident in the enduring citation of his pedestrian prediction model, which continues to shape how robots coexist with humans in shared spaces.