James M. Dotterweich — accepted AI-conference papers

2025

Risk-Aware Energy-Constrained UAV-UGV Cooperative Routing Using Attention-Guided Reinforcement Learning

Md Safwan Mondal, Subramanian Ramasamy, Ragib Rownak, Luca Russo, James D. Humann, James M. Dotterweich +1

ICRA 2025

Maximizing the endurance of unmanned aerial vehicles (UAVs) in large-scale monitoring missions spanning over large areas requires addressing their limited battery capacity. Deploying unmanned ground vehicles (UGVs) as mobile recharging stations offers a practical solution, extending UAVs' operationa

Cited by 3 Source ↗Scholar ↗

2024

An Attention-aware Deep Reinforcement Learning Framework for UAV-UGV Collaborative Route Planning

Md Safwan Mondal, Subramanian Ramasamy, James D. Humann, James M. Dotterweich, Jean-Paul F. Reddinger, Marshal A. Childers +1

IROS 2024

Unmanned aerial vehicles (UAVs) possess the capability to survey vast areas, yet their operational range is limited by their battery capacity. Deploying mobile recharging stations via unmanned ground vehicles (UGVs) can significantly enhance the endurance and effectiveness of UAVs. However, optimizi

Cited by 9 Source ↗Scholar ↗