Robotics & Machine Learning Daily News2024,Issue(Feb.12) :103-104.DOI:10.1109/TIE.2023.3342301

Findings in Robotics Reported from Southeast University (A Unified Framework for Pedestrian Trajectory Prediction and Social-friendly Navigation)

Robotics & Machine Learning Daily News2024,Issue(Feb.12) :103-104.DOI:10.1109/TIE.2023.3342301

Findings in Robotics Reported from Southeast University (A Unified Framework for Pedestrian Trajectory Prediction and Social-friendly Navigation)

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Abstract

New research on Robotics is the subject of a report. According to news reporting originating from Nanjing, People's Republic of China, by NewsRx correspondents, research stated, "In recent years, stable robot navigation systems need to meet the requirements of comfort and sociality, such as maintaining an appropriate distance from pedestrians, avoiding crossing crowds, and so on. However, the traditional robot navigation frameworks treat the surrounding pedestrians or objects as obstacles and fail to solve the navigation problems in the context of human-robot interaction." Financial support for this research came from National Natural Science Foundation of China (NSFC).

Key words

Nanjing/People's Republic of China/Asia/Emerging Technologies/Machine Learning/Robot/Robotics/Southeast University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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