首页|New Robotics Study Findings Have Been Reported by Investigators at Shanghai Jiao Tong University (Cognitive Navigation for Intelligent Mobile Robots: a Learning -based Approach With Topological Memory Configuration)
New Robotics Study Findings Have Been Reported by Investigators at Shanghai Jiao Tong University (Cognitive Navigation for Intelligent Mobile Robots: a Learning -based Approach With Topological Memory Configuration)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Robotic s. According to news reporting from Shanghai, People’s Republic of China, by New sRx journalists, research stated, “Autonomous navigation for intelligent mobile robots has gained significant attention, with a focus on enabling robots to gene rate reliable policies based on maintenance of spatial memory. In this paper, we propose a learning-based visual navigation pipeline that uses topological maps as memory configurations.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC). The news correspondents obtained a quote from the research from Shanghai Jiao To ng University, “We introduce a unique online topology construction approach that fuses odometry pose estimation and perceptual similarity estimation. This tackl es the issues of topological node redundancy and incorrect edge connections, whi ch stem from the distribution gap between the spatial and perceptual domains. Fu rthermore, we propose a differentiable graph extraction structure, the topology multi-factor transformer (TMFT). This structure utilizes graph neural networks t o integrate global memory and incorporates a multi-factor attention mechanism to underscore elements closely related to relevant target cues for policy generati on. Results from photorealistic simulations on image-goal navigation tasks highl ight the superior navigation performance of our proposed pipeline compared to ex isting memory structures.”
ShanghaiPeople’s Republic of ChinaAs iaEmerging TechnologiesMachine LearningNano-robotRoboticsShanghai Jiao Tong University
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