Christian Claudel

The University of Texas at Austin

Papers

3

Total Citations

204

H-Index

3

About

Christian Claudel is a leading researcher in cyber-physical systems, with a primary focus on intelligent transportation, multi-robot coordination, and wireless sensor networks. His work bridges theoretical control and estimation with practical, real-world deployment. A standout contribution is his 2020 paper on robot-assisted last-mile delivery systems, which has garnered 183 citations, reflecting its significant impact on logistics and autonomous urban mobility. Claudel also introduced the innovative DoSS (Distributed On-line Source Seeking) algorithm for multi-robot systems, enabling efficient source localization in unknown, dynamic environments through a novel dummy confidence upper bound (D-UCB) approach. In the domain of traffic monitoring, he developed a method using wireless sensor networks and inertial reference data to overcome the limitations of satellite-based probe vehicle data, such as GPS, offering a more reliable and cost-effective alternative for urban traffic estimation. His work is characterized by a strong emphasis on algorithmic rigor and practical applicability, making him a key figure in the advancement of autonomous systems and smart city infrastructure.

Research Focus

Key Achievements

3
H-Index
3
Papers
204
Total Citations
68
Avg Citations/Paper
🏆 Most Cited Paper
Optimization and analysis of a robot-assisted last mile delivery system
183 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: The University of Texas at Austin

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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