Nov 19, 2020 · Abstract: This paper reports on a novel solution for fault detection, identification, and recovery in autonomous underwater vehicles using ...
The thesis explains the reasoning behind using POMDP over traditional static look-up tables at achieve a more autonomous system. The objective was to develop ...
This paper reports on a novel solution for fault detection, identification, and recovery in autonomous underwater vehicles using partially observable Markov ...
[Show full abstract] communication limited environments such as in the case of autonomous underwater vehicles. In this paper, we frame the information gathering ...
WHAT is THE model Autonomous Vehicle Decision-Making ...
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One approach is to use partially observable Markov decision processes (POMDP). POMDP models have been applied to fault detection, identification, and recovery ...
Kathleen A. Svendsen, Mae L. Seto: Partially Observable Markov Decision Processes for Fault Management in Autonomous Underwater Vehicles. CCECE 2020: 1-7.
This paper surveys models and algorithms dealing with partially observable Markov decision processes. A partially observable Markov decision process (POMDP) ...
Task decision making can involve selecting appropriate strategies, adjusting execution plans, handling ... Structural estimation of partially observable markov ...
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Proposed, is a partially observable Markov decision process (POMDP) model-based schema as the basis of a fault manager system for use ...
This paper presents a new development of collision avoidance algorithm that ensures an Unmanned Aerial Vehicle (UAV) can avoid multiple intruders autonomously.