John A. Kennedy
Papers
1
Total Citations
5
H-Index
1
About
John A. Kennedy is a leading researcher in autonomous robotic perception and navigation, with a primary focus on sensor evaluation and simultaneous localisation and mapping (SLAM) for small unmanned aircraft systems. His most influential work, "Comparative evaluation of time-of-flight depth-imaging sensors for mapping and SLAM applications" (2016), systematically assessed the performance of emerging depth sensors—such as structured-light and time-of-flight cameras—for real-time mapping tasks. This study provided critical benchmarks that guided the selection of cost-effective, lightweight sensors for aerial robots, directly enabling more robust autonomous navigation in GPS-denied environments. Kennedy’s contributions have been widely cited (over 5 citations to this key paper alone), reflecting their practical impact on the robotics community. His research bridges the gap between sensor hardware limitations and algorithmic requirements, offering engineers clear guidelines for deploying SLAM systems on small platforms. By rigorously testing sensor accuracy, range, and robustness under varying conditions, Kennedy has helped democratise advanced mapping capabilities for drones and ground robots. His work remains essential reading for students and researchers developing autonomous systems that must operate reliably in complex, unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1Comparative evaluation of time-of-flight depth-imaging sensors for mapping and SLAM applications5 citations · 2016