Deep Reinforcement Learning With Dynamic Graphs for Adaptive Informative Path Planning

Autonomousrobots are often employed for data collection due to their efficiency and low labour costs. A key task in robotic data acquisition is planning paths through an initially unknown environment to collect observations given platform-specific resource constraints, such as limited battery life....

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Bibliographic Details

Published in:	IEEE robotics and automation letters Vol. 9; no. 9; pp. 7747 - 7754
Main Authors:	Vashisth, Apoorva, Ruckin, Julius, Magistri, Federico, Stachniss, Cyrill, Popovic, Marija
Format:	Journal Article
Language:	English
Published:	IEEE 01.09.2024
Subjects:	Agricultural robots Agriculture Autonomous aerial vehicles Forestry Motion and path planning Motion planning Path planning Reinforcement learning Robot sensing systems robotics and automation in agriculture and forestry Three-dimensional displays Vehicle dynamics
ISSN:	2377-3766, 2377-3766
Online Access:	Get full text
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