Robotics & Machine Learning Daily News2024,Issue(Dec.13) :61-62.

Findings from Lulea University of Technology in the Area of Robotics Described ( Voxel Map To Occupancy Map Conversion Using Free Space Projection for Efficient Map Representation for Aerial and Ground Robots)

Robotics & Machine Learning Daily News2024,Issue(Dec.13) :61-62.

Findings from Lulea University of Technology in the Area of Robotics Described ( Voxel Map To Occupancy Map Conversion Using Free Space Projection for Efficient Map Representation for Aerial and Ground Robots)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Robotics have been published. According to news reportingoriginating from Lulea, Sweden, by NewsRx correspondents, research stated, “This article introduces anovel method for converting 3D voxel maps, commonly utilized by robots for localization and n avigation,into 2D occupancy maps for both autonomous aerial vehicles (AAVs) and autonomous ground vehicles(AGVs). The generated 2D maps can be used for more e fficient global navigation for both AAVs andAGVs, in enabling algorithms develo ped for 2D maps to be useful in 3D applications, and allowing forfaster transfe r of maps between multiple agents in bandwidth-limited scenarios.”

Key words

Lulea/Sweden/Europe/Emerging Technolo gies/Machine Learning/Nano-robot/Robot/Robotics/Lulea University of Technol ogy

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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