Matthew J. Johnson

Florida Institute for Human and Machine Cognition

Papers

Total Citations

162

H-Index

About

Matthew J. Johnson is a leading researcher in legged robotics and locomotion control, with a particular focus on enabling robots to traverse challenging, unstructured environments. His most-cited work, "A Controller for the LittleDog Quadruped Walking on Rough Terrain" (2007, 162 citations), presents a groundbreaking hybrid controller that combines deliberative planning with reactive adjustments, allowing a quadrupedal robot to statically walk across known rough terrain. This architecture addresses critical real-world challenges such as impassable obstacles and unmodeled foot slippage, while supporting multiple gaits. Johnson's contributions have significantly advanced the field of dynamic locomotion, providing foundational principles for robust, adaptive robot movement. His work on the LittleDog platform has been widely influential, shaping subsequent research in both academia and industry. With over 160 citations on this key paper alone, Johnson's research continues to inspire new generations of roboticists working to create machines that can navigate the complex, unpredictable world alongside humans.