日本フィジカルAI新聞

世界のフィジカルAIを、日本語で。

週刊ニュースレター購読
arXiv:1804.02154

Assisted Control for Semi-Autonomous Power Infrastructure Inspection using Aerial Vehicles

Assisted Control for Semi-Autonomous Power Infrastructure Inspection using Aerial Vehicles

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著者: Aaron McFadyen, Feras Dayoub, Steve Martin, Jason Ford, Peter Corke

分類: cs.RO

原文アブストラクト

This paper presents the design and implementation of an assisted control technology for a small multirotor platform for aerial inspection of fixed energy infrastructure. Sensor placement is supported by a theoretical analysis of expected sensor performance and constrained platform behaviour to speed up implementation. The optical sensors provide relative position information between the platform and the asset, which enables human operator inputs to be autonomously adjusted to ensure safe separation. The assisted control approach is designed to reduced operator workload during close proximity inspection tasks, with collision avoidance and safe separation managed autonomously. The energy infrastructure includes single vertical wooden poles and crossarm with attached overhead wires. Simulated and real experimental results are provided.