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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Vydáno v:	IEEE robotics and automation letters Ročník 9; číslo 9; s. 7747 - 7754
Hlavní autoři:	Vashisth, Apoorva, Ruckin, Julius, Magistri, Federico, Stachniss, Cyrill, Popovic, Marija
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	IEEE 01.09.2024
Témata:	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
On-line přístup:	Získat plný text
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