Robust sensing for a 3500 tonne field robot

Autor:	Jonathan Roberts, Frederic Pennerath, Graeme J. Winstanley, Peter Corke
Rok vydání:	2003
Předmět:	Engineering business.industry Dragline excavator Coal mining Robot Control engineering Hoist (device) Robotics Artificial intelligence business Automation Field (computer science) Rope
Zdroj:	ICRA
DOI:	10.1109/robot.1999.774009
Popis:	The mining industry is highly suitable for the application of robotics and automation technology since the work is arduous, dangerous and often repetitive. This paper discusses a robust sensing system developed to find and trade the position of the hoist ropes of a dragline. Draglines are large 'walking cranes' used in open-pit coal mining to remove the material covering the coal seam. The rope sensing system developed uses two time-of-flight laser scanners. The finding algorithm uses a novel data association and tracking strategy based on pairing rope data.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::616fbd22d69314e3e4242fe0034a265c https://doi.org/10.1109/robot.1999.774009 Zobrazit plný text záznamu