Ravi N. Haksar

2 accepted papers

2020

Spatial Scheduling of Informative Meetings for Multi-Agent Persistent Coverage

Ravi N. Haksar, Sebastian Trimpe, Mac Schwager

RA-L 2020

In this work, we develop a novel decentralized coordination algorithm for a team of autonomous unmanned aerial vehicles (UAVs) to surveil an aggressive forest wildfire. For dangerous environmental processes that occur over very large areas, like forest wildfires, multi-agent systems cannot rely on l

Cited by 14 Source ↗Scholar ↗

2018

Distributed Deep Reinforcement Learning for Fighting Forest Fires with a Network of Aerial Robots

Ravi N. Haksar, Mac Schwager

IROS 2018poster

This paper proposes a distributed deep reinforcement learning (RL) based strategy for a team of Unmanned Aerial Vehicles (UAVs) to autonomously fight forest fires. We first model the forest fire as a Markov decision process (MDP) with a factored structure. We consider optimally controlling the fores…

Cited by 87 Source ↗Scholar ↗