Robotics & Machine Learning Daily News2024,Issue(Jul.11) :7-7.

Reports on Robotics Findings from Southern University of Science and Technology (SUSTech) Provide New Insights (Tail: a Terrainaware Multi-modal Slam Dataset f or Robot Locomotion In Deformable Granular Environments)

Robotics & Machine Learning Daily News2024,Issue(Jul.11) :7-7.

Reports on Robotics Findings from Southern University of Science and Technology (SUSTech) Provide New Insights (Tail: a Terrainaware Multi-modal Slam Dataset f or Robot Locomotion In Deformable Granular Environments)

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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. According to news reporting fromShenzhen, People’s Republic of China, b y NewsRx journalists, research stated, “Terrain-aware perceptionholds the poten tial to improve the robustness and accuracy of autonomous robot navigation in th e wilds,thereby facilitating effective off-road traversals. However, the lack o f multi-modal perception across variousmotion patterns hinders the solutions of Simultaneous Localization And Mapping (SLAM), especially whenconfronting non-g eometric hazards in demanding landscapes.”

Key words

Shenzhen/People’s Republic of China/As ia/Emerging Technologies/Machine Learning/Robot/Robotics/Southern Universit y of Science and Technology (SUSTech)

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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