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:1710.08275

The ETH-MAV Team in the MBZ International Robotics Challenge

The ETH-MAV Team in the MBZ International Robotics Challenge

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著者: Rik Bähnemann, Michael Pantic, Marija Popović, Dominik Schindler, Marco Tranzatto, Mina Kamel, Marius Grimm, Jakob Widauer, Roland Siegwart, Juan Nieto

分類: cs.RO

原文アブストラクト

This article describes the hardware and software systems of the Micro Aerial Vehicle (MAV) platforms used by the ETH Zurich team in the 2017 Mohamed Bin Zayed International Robotics Challenge (MBZIRC). The aim was to develop robust outdoor platforms with the autonomous capabilities required for the competition, by applying and integrating knowledge from various fields, including computer vision, sensor fusion, optimal control, and probabilistic robotics. This paper presents the major components and structures of the system architectures, and reports on experimental findings for the MAV-based challenges in the competition. Main highlights include securing second place both in the individual search, pick, and place task of Challenge 3 and the Grand Challenge, with autonomous landing executed in less than one minute and a visual servoing success rate of over 90% for object pickups.