Pascal Stang

Stanford University, Santa Clara University

Papers

4

Total Citations

2,369

H-Index

4

About

Pascal Stang is a pioneering roboticist best known for his central role in developing Stanley, the autonomous vehicle that won the 2005 DARPA Grand Challenge—a landmark achievement in robotics and artificial intelligence. His work on Stanley, detailed in a highly influential 2006 paper with over 2,100 citations, demonstrated that machine learning and AI could enable high-speed desert driving without human intervention, setting the stage for modern self-driving car technology. Beyond autonomous driving, Stang has made significant contributions to educational robotics and distributed computing for space missions. At Santa Clara University, he led the development of rugged, field-deployable robotic systems for scientific research and teleoperation, while also proposing a standardized distributed computing architecture for small satellites that extended common data protocols. His hands-on approach to robotics education has inspired countless students, blending rigorous engineering with real-world applications. With over 2,300 total citations, Stang’s work remains foundational in autonomous navigation, field robotics, and space systems, cementing his legacy as a key architect of practical, AI-driven robotic platforms.

Research Focus

Key Achievements

4
H-Index
4
Papers
2,369
Total Citations
592
Avg Citations/Paper
🏆 Most Cited Paper
Stanley: The robot that won the DARPA Grand Challenge
2,109 citations · 2006
📈 Most Prolific Year: 2006 (1 Papers)
🤝 Key Collaborators: 35
🏛 Institutions: Stanford University, Santa Clara University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago