David Tseng

Papers

Total Citations

131

H-Index

About

David Tseng is a pioneering figure in autonomous robotics, best known for his foundational work in off-road navigation and perception systems. His research focuses on enabling robotic vehicles to operate reliably in unstructured, natural environments—a critical challenge for field robotics. Tseng’s most influential contribution is his landmark paper on the Autonomous Land Vehicle (ALV), which describes the first successful cross-country, map-and-sensor-based autonomous navigation in natural terrain. This work, cited over 130 times, detailed a novel software architecture integrating perception and planning technologies that allowed the vehicle to traverse rugged landscapes without human intervention. By demonstrating that a robot could interpret complex terrain and plan safe paths in real time, Tseng laid critical groundwork for modern autonomous driving in agriculture, mining, and planetary exploration. His achievements remain a touchstone for researchers developing robust, perception-driven navigation systems, and his early experiments with the ALV continue to inspire advances in autonomous off-road mobility.