首页|New Findings from University of Pompeu Fabra Describe Advances in Robotics ("plu g-and-play" Inventory Robots: Autonomous Itinerary Planning Through Autonomous W aypoint Generation)

New Findings from University of Pompeu Fabra Describe Advances in Robotics ("plu g-and-play" Inventory Robots: Autonomous Itinerary Planning Through Autonomous W aypoint Generation)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ro botics. According to news reporting out of Barcelona, Spain, by NewsRx editors, the research stated, "Current robotic inventory systems rely on human interactio n for installation, configuration, and reconfiguration tasks. However, this depe ndence on human involvement hampers the efficiency of the process chain in the i ndustry and can lead to bottlenecks in the supply chain and the overall system." Financial support for this research came from Spanish Government trough the Mini stry of Science, Innovation and Universities under RF-VOLUTION Project. Our news journalists obtained a quote from the research from the University of P ompeu Fabra, "In this study, we present a ‘plug-and-play' methodology that enabl es the deployment of inventory robots and the autonomous reconfiguration of the map and inventory itineraries. This work introduces, for the first time, an auto nomous waypoint generation method based on radiofrequency identification explora tion and the first fully autonomous solution for designing efficient itineraries for inventory robots. The proposed methodology is extensively detailed, and a s eries of experiments are conducted in a real environment with physical robots."

BarcelonaSpainEuropeEmerging Techn ologiesMachine LearningNano-robotRoboticsUniversity of Pompeu Fabra

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Mar.7)