Kenneth Niles

Papers

2

Total Citations

8

H-Index

2

About

Kenneth Niles is a robotics researcher specializing in autonomous navigation and infrastructure inspection. His work focuses on two key areas: improving localization for unmanned ground vehicles (UGVs) and developing novel robotic platforms for critical infrastructure assessment. In his highly cited 2022 paper on the Active Terrain Localization Imaging System (ATLIS), Niles pioneered satellite image template matching with covariance estimation, enabling UGVs to achieve accurate geo-spatial localization without relying on GNSS—a breakthrough for operations in GPS-denied environments. His 2023 work on the DAMBOT™, an unmanned amphibious vehicle for earth dam outlet inspection, addresses the urgent need for detailed structural assessments of aging USACE dams and locks. By creating a platform that can operate both on land and in water, Niles has provided a safer, more efficient alternative to traditional manual inspection methods. With his papers already accumulating citations, Niles is establishing himself as an innovator at the intersection of field robotics and civil infrastructure monitoring.

Research Focus

Key Achievements

2
H-Index
2
Papers
8
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
SATELLITE IMAGE TEMPLATE MATCHING WITH COVARIANCE ESTIMATION FOR UNMANNED GROUND VEHICLE LOCALIZATION: ACTIVE TERRAIN LOCALIZATION IMAGING SYSTEM (ATLIS)
4 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 10

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago