Papers

2

Total Citations

12

H-Index

2

About

Luis Bill’s research focuses on the practical deployment of multi-robot systems and autonomous vehicle technology, bridging the gap between theoretical advances and real-world implementation. His most cited work, “Real-world testing of a multi-robot team” (2012, 6 citations), addresses the critical engineering challenges of deploying coordinated robot teams under real-world constraints, highlighting the complexities of transitioning multi-robot systems from lab to field. In “Development and Implementation of an Autonomously Driven Vehicle Prototype” (2019, 6 citations), Bill tackles the pressing issues in building functional self-driving vehicles, emphasizing the accessibility of technology and the practical hurdles in the autonomous driving “gold rush.” While his citation counts reflect a focused, early-career impact, his contributions are notable for their hands-on, implementation-driven approach. Bill’s work is particularly valuable for students and researchers interested in the engineering realities of robotics and autonomous systems, offering insights into the often-overlooked challenges of making multi-robot teams and self-driving cars work outside controlled environments. His research underscores the importance of robust testing and iterative development in advancing autonomous technologies.

Research Focus

Key Achievements

2
H-Index
2
Papers
12
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Real-world testing of a multi-robot team
6 citations · 2012
📈 Most Prolific Year: 2012 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Carnegie Mellon University, San Francisco State University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago