David M. Keirsey

Intel (United States), HRL Laboratories (United States), Allen Institute for Artificial Intelligence

Papers

Total Citations

213

H-Index

About

David M. Keirsey is a pioneering figure in autonomous vehicle navigation, whose work laid the foundation for cross-country robotic travel. His primary research areas include autonomous land vehicle (ALV) control, path planning, and heuristic-based navigation algorithms. Keirsey’s most impactful contribution is his landmark 2003 paper on autonomous cross-country navigation, which describes the first successful map- and sensor-based operation of a robotic vehicle in natural terrain—a breakthrough that has garnered 131 citations and remains a cornerstone in field robotics. He also developed a hierarchical reasoning system for vehicle control (47 citations), integrating mission, long-range, and local planners to handle diverse terrain with maximal speed and versatility. His 1984 multilevel path planning system, implemented on an actual ALV, demonstrated early integration of digital databases with real-time sensor data. Later work on heuristic navigation algorithms (22 citations) provided a flexible testing framework for generalized strategies. Keirsey’s contributions are notable for their practical, real-world validation, bridging theoretical planning with autonomous operation in unstructured environments—a critical step toward modern self-driving technology.