R.A. Pearce
Papers
2
Total Citations
15
H-Index
2
About
R.A. Pearce is a robotics researcher whose work centers on autonomous navigation and localization in indoor environments, with a particular focus on sensor-based perception and geometric modeling. His major contributions lie in developing robust methods for mobile robot localization using sonar range sensors, addressing the critical challenge of operating in real-world conditions where environments are imperfectly known and sensor data is noisy. His most cited work, "Robust geometric-based localization in indoor environments using sonar range sensors" (2003, 12 citations), advanced beyond idealized assumptions by computing reliable position estimates despite sensor uncertainty. Pearce also introduced the innovative concept of "scannable visibility sectors" (2004), a restricted visibility framework that enhances the efficiency and accuracy of existing navigation algorithms by leveraging the physical characteristics of sensor coverage. While his citation counts reflect a focused, early-career impact, his contributions to practical, sensor-driven localization remain relevant for researchers working on autonomous systems in structured environments. Pearce’s work exemplifies the transition from theoretical robotics to robust, real-world deployment.
Research Focus
Key Achievements
Top Papers
- 1
- 2Feature-based localization using scannable visibility sectors3 citations · 2004