Joshua Anhalt

Carnegie Mellon University

Papers

3

Total Citations

308

H-Index

3

About

Joshua Anhalt is a researcher whose work bridges the fields of autonomous robotics and agricultural technology. He is best known for his pivotal contributions to high-speed navigation for unrehearsed desert terrain, a key area in the development of self-driving vehicles. His most-cited paper, "A robust approach to high‐speed navigation for unrehearsed desert terrain" (2006), with 142 citations, and its companion publication (2007, 139 citations), detail a system that combines simple, robust components to enable robots to navigate complex, unstructured environments at high speeds. This work was instrumental in the success of a pair of robots that completed the 212 km DARPA Grand Challenge desert race, a landmark achievement in autonomous vehicle research. Anhalt’s impact extends beyond robotics; he also contributed to "A Wireless Sensor Network for the Nursery and Greenhouse Industry" (2007, 27 citations), demonstrating his versatility in applying sensor technology to precision agriculture. His research exemplifies how robust, minimalist design principles can solve real-world challenges in both extreme terrain and controlled agricultural environments, making him a notable figure in the evolution of field robotics.

Research Focus

Key Achievements

3
H-Index
3
Papers
308
Total Citations
103
Avg Citations/Paper
🏆 Most Cited Paper
A robust approach to high‐speed navigation for unrehearsed desert terrain
142 citations · 2006
📈 Most Prolific Year: 2007 (2 Papers)
🤝 Key Collaborators: 24
🏛 Institutions: Carnegie Mellon University

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago