Laurel Sadler
Papers
2
Total Citations
22
H-Index
2
About
Laurel Sadler is a leading researcher in autonomous robotics and sensor systems, with a focus on enabling small unmanned ground vehicles to navigate complex environments without human intervention. Her most cited work, "MEMS-scanned ladar sensor for small ground robots" (2010, 18 citations), addresses a critical challenge in field robotics: the development of compact, reliable ladar imagers for navigation, obstacle avoidance, and target detection. This research, conducted at the U.S. Army Research Laboratory (ARL), directly supports the deployment of small robots in tactical and reconnaissance missions. Sadler also contributed to "Implementation of small robot autonomy in an integrated environment" (2009, 4 citations), which advances autonomous asset control by integrating perception, planning, and actuation into cohesive systems. Her work bridges the gap between theoretical autonomy and practical deployment, emphasizing real-time performance under size, weight, and power constraints. Through her contributions at ARL’s Computational and Information Sciences Directorate, Sadler has helped shape the next generation of intelligent, self-navigating robots for defense and civilian applications.
Research Focus
Key Achievements
Top Papers
- 1MEMS-scanned ladar sensor for small ground robots18 citations · 2010
- 2Implementation of small robot autonomy in an integrated environment4 citations · 2009