首页|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)
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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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.”
ShenzhenPeople’s Republic of ChinaAs iaEmerging TechnologiesMachine LearningRobotRoboticsSouthern Universit y of Science and Technology (SUSTech)
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