Jean-Paul Reddinger
Papers
2
Total Citations
22
H-Index
2
About
Jean-Paul Reddinger is a leading researcher in the field of autonomous multi-vehicle systems, with a primary focus on the coordination of Unmanned Aerial Vehicles (UAVs) and Unmanned Ground Vehicles (UGVs). His work addresses critical challenges in persistent aerial operations, particularly the "range anxiety" problem of limited UAV battery life. Reddinger’s major contribution is the development of novel agent-based modeling frameworks and risk-aware resource allocation algorithms that enable UAVs to rendezvous with mobile UGV recharging stations. His 2023 paper, "An agent-based modeling framework for the multi-UAV rendezvous recharging problem," has garnered 18 citations, establishing a foundational approach for simulating complex, cooperative recharging logistics. In his 2022 work on "Risk-aware Resource Allocation," he advanced the field by incorporating operational safety and uncertainty into the scheduling of these aerial-ground rendezvous. By treating UGVs as mobile charging depots, Reddinger’s research is pivotal for enabling long-duration, autonomous missions in applications like search-and-rescue, environmental monitoring, and precision agriculture, making him a key figure in the evolution of resilient, cooperative robotic networks.
Research Focus
Key Achievements
Top Papers
- 1
- 2