Autoplay Next video from Max length

Fast Autonomous Flight in Warehouses for Inventory Applications

626 views · Published 9 July 2018 · 4:11 · Indexed 5 October 2026

Channel: nimbro · 2018 · Science & Technology

Video attachment for article
Marius Beul, David Droeschel, Matthias Nieuwenhuisen, Jan Quenzel, Sebastian Houben, and Sven Behnke:
"Fast Autonomous Flight in Warehouses for Inventory Applications"
IEEE Robotics and Automation Letters (RA-L), 2018.
Accepted for IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Madrid, Spain, October 2018.
https://www.ais.uni-bonn.de/papers/RA-L_2018_Beul_InventAIRy.pdf

The past years have shown a remarkable growth in use-cases for micro aerial vehicles (MAVs). Conceivable indoor applications require highly robust environment perception, fast reaction to changing situations, and stable navigation, but reliable sources of absolute positioning like GNSS or compass measurements are unavailable during indoor flights.
We present a high-performance autonomous inventory MAV for operation inside warehouses. The MAV navigates along warehouse aisles and detects the placed stock in the shelves alongside its path with a multimodal sensor setup containing an
RFID reader and two high-resolution cameras. We describe in detail the SLAM pipeline based on a 3D lidar, the setup for stock recognition, the mission planning and trajectory generation, as well as a low-level routine for avoidance of dynamical or previously
unobserved obstacles. Experiments were performed in an operative warehouse of a logistics provider, in which an external warehouse management system provided the MAV with highlevel inspection missions that are executed fully autonomously.

Fast Autonomous Flight in Warehouses for Inventory Applications

More from this channel