首页|Investigators at Shanghai Jiao Tong University Detail Findings in Robotics (Fht- map: Feature-based Hybrid Topological Map for Relocalization and Path Planning)
Investigators at Shanghai Jiao Tong University Detail Findings in Robotics (Fht- map: Feature-based Hybrid Topological Map for Relocalization and Path Planning)
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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 originating from Shanghai, People’s Republic of China, by NewsRx correspondents, research stated, “Topological maps are favo rable for their small storage compared to geometric maps. However, they are limi ted in relocalization and path planning capabilities.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC). Our news editors obtained a quote from the research from Shanghai Jiao Tong Univ ersity, “To solve the problem, a feature-based hybrid topological map (FHT-Map) is proposed along with a real-time map construction algorithm based on robot exp loration. Specifically, the FHT-Map utilizes both RGB cameras and LiDAR informat ion and consists of two types of nodes: main node and support node. Main nodes s tore visual information compressed by convolutional neural network and local las er scan data to enhance subsequent relocalization capability. Support nodes reta in a minimal amount of data to ensure storage efficiency while facilitating path planning. After map construction through robot exploration, the FHT-Map can be used by other robots for relocalization and path planning. Simulation results de monstrate that the proposed FHT-Map can effectively improve relocalization and p ath planning capability compared with other topological maps.”
ShanghaiPeople’s Republic of ChinaAs iaEmerging TechnologiesMachine LearningRobotRoboticsShanghai Jiao Tong University
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