Robotics & Machine Learning Daily News2024,Issue(Aug.7) :18-20.

New Findings from KTH Royal Institute of Technology in the Area of Robotics and Automation Described (Beyond the Frontier: PredictingUnseen Walls From Occupanc y Grids By Learning From Floor Plans)

Robotics & Machine Learning Daily News2024,Issue(Aug.7) :18-20.

New Findings from KTH Royal Institute of Technology in the Area of Robotics and Automation Described (Beyond the Frontier: PredictingUnseen Walls From Occupanc y Grids By Learning From Floor Plans)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ro botics - Robotics and Automation. Accordingto news reporting from Stockholm, Sw eden, by NewsRx journalists, research stated, “In this letter, wetackle the cha llenge of predicting the unseen walls of a partially observed environment as a s et of 2Dline segments, conditioned on occupancy grids integrated along the traj ectory of a 360(degrees) LIDARsensor. A dataset of such occupancy grids and the ir corresponding target wall segments is collected bynavigating a virtual robot between a set of randomly sampled waypoints in a collection of office-scale floor plans from a university campus.”

Key words

Stockholm/Sweden/Europe/Robotics and Automation/Robotics/KTH Royal Institute of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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