Papers

2

Total Citations

14

H-Index

2

About

Nels Benson is a researcher in mobile robotics and environmental perception, with a focus on vision-based navigation and motion estimation. His work addresses the challenge of generating stationary environmental maps when robot motion is unknown—a critical problem for autonomous systems operating in unstructured or dynamic settings. In his most-cited paper (2002, 11 citations), Benson proposed a method to create reliable maps by monitoring azimuth changes in images, bypassing the need for precise motion parameters. This approach offers a practical solution for robots navigating without accurate odometry. He further advanced motion estimation techniques in his 2003 study (3 citations), using omnidirectional optical flows to decouple rolling and swaying motions, enabling more robust robot control. While his citation counts are modest, Benson’s contributions lie in tackling foundational issues in sensor-based mapping and motion analysis, providing early insights that support later developments in simultaneous localization and mapping (SLAM). His work is particularly valuable for researchers exploring vision-only navigation in resource-constrained or GPS-denied environments.

Research Focus

Key Achievements

2
H-Index
2
Papers
14
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Generation of stationary environmental map under unknown robot motion
11 citations · 2002
📈 Most Prolific Year: 2002 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Osaka University of Human Sciences, The University of Osaka

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago