Angus Leigh
Papers
1
Total Citations
195
H-Index
1
About
Angus Leigh is a leading researcher in mobile robotics, with a primary focus on autonomous person tracking and human-robot interaction. His most influential work, the 2015 paper "Person tracking and following with 2D laser scanners," has garnered 195 citations and stands as a foundational contribution to the field. In this seminal study, Leigh developed robust algorithms that enable robots to accurately detect, track, and follow individuals using only 2D laser range data—a cost-effective and reliable sensor modality. His approach demonstrated that precise, objective spatial data about human positions could be harnessed for complex autonomous behaviors, moving beyond simple obstacle avoidance to enable socially-aware navigation. This work has had significant impact on assistive robotics, autonomous luggage carriers, and collaborative manufacturing systems. Leigh's research is characterized by its emphasis on repeatable, quantitative methods that bridge the gap between sensor perception and practical robot behavior, making him a key figure in advancing the reliability and real-world applicability of person-following robots.
Research Focus
Key Achievements
Top Papers
- 1Person tracking and following with 2D laser scanners195 citations · 2015