Max Robotics — Global Service Robot Directory + US Certification

About

Michael Recce is a pioneering researcher at the intersection of computational neuroscience and robotics, best known for bridging Marr's theory of hippocampal function with autonomous navigation. His most influential work, "Memory for places: A navigational model in support of Marr's theory of hippocampal function" (76 citations), introduced a groundbreaking computational model that applied principles of hippocampal spatial memory to map-based navigation—a foundational contribution linking biological place cells to robotic localization. Recce further advanced mobile robotics through his work on scientific methods for robot experimentation (37 citations) and experimental modeling of time-of-flight sonar (28 citations), establishing rigorous frameworks for sensor-based environmental mapping. His applied engineering achievements include developing the control architecture for an orange harvesting robot (24 citations), a complex system featuring dual telescopic arms on a tracked vehicle. Recce also contributed to absolute localization techniques using place cells and quantitative evaluation of exploration strategies, demonstrating how biological principles can inspire robust robotic mapping. His interdisciplinary work—spanning neural computation, sensor modeling, and agricultural robotics—has shaped both theoretical understanding of hippocampal function and practical autonomous systems, earning recognition as a key figure in bio-inspired robotics.