Jeremy Leibs
Papers
1
Total Citations
3
H-Index
1
About
Jeremy Leibs is a roboticist whose work centers on autonomous navigation and real-world perception systems. His most notable contribution stems from his undergraduate years at the California Institute of Technology, where he co-authored the paper "How to teach a van to drive: an undergraduate perspective on the 2005 DARPA Grand Challenge." This paper chronicles the development of *Alice*, a fully autonomous robotic vehicle built by a team of Caltech undergraduates for the 2005 DARPA Grand Challenge—a landmark competition designed to push the boundaries of self-driving technology. Leibs and his team successfully demonstrated that a vehicle could navigate the rugged Mojave Desert without human intervention, tackling complex challenges in path planning, sensor fusion, and real-time control. While his most-cited work holds 3 citations, its true impact lies in its inspirational role, showcasing how hands-on, student-led engineering can contribute to the foundational breakthroughs in autonomous driving. This achievement not only highlighted the potential of low-cost, agile development but also helped pave the way for the modern autonomous vehicle industry.
Research Focus
Key Achievements
Top Papers
- 1