Papers

30

Total Citations

1,437

H-Index

10

About

R.A. Jarvis is a pioneering figure in robotics and computer vision, whose work has fundamentally shaped how machines perceive and navigate the world. His research spans three core areas: range-finding techniques, path planning for mobile robots, and autonomous navigation in unstructured environments. Jarvis’s seminal 1983 paper, “A Perspective on Range Finding Techniques for Computer Vision,” with over 780 citations, established a foundational framework for 3D scene analysis, dramatically reducing computational complexity in robotic manipulation. He further advanced this field by developing a laser time-of-flight range scanner, a practical tool that brought direct range data acquisition into robotic vision systems. In mobile robotics, Jarvis’s work on complete coverage path planning (over 300 citations) revolutionized how robots systematically explore and cover environments, moving beyond simple point-to-point navigation. His innovative contributions extend to covert robotics, where he developed path planning algorithms for robots to avoid detection by sentries, and to autonomous heavy-duty vehicles capable of operating in rough, unknown terrains. With over 1,300 total citations across his most influential papers, Jarvis’s legacy lies in bridging theoretical computer vision with real-world robotic applications, making him a foundational thinker for students and researchers in autonomous systems.

Research Focus

Key Achievements

10
H-Index
30
Papers
1,437
Total Citations
48
Avg Citations/Paper
🏆 Most Cited Paper
A Perspective on Range Finding Techniques for Computer Vision
782 citations · 1983
📈 Most Prolific Year: 2005 (9 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: Australian National University, Monash University, Engineering Systems (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago