首页|Findings in Robotics Reported from Southeast University (A Unified Framework for Pedestrian Trajectory Prediction and Social-friendly Navigation)
Findings in Robotics Reported from Southeast University (A Unified Framework for Pedestrian Trajectory Prediction and Social-friendly Navigation)
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NETL
NSTL
IEEE
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).
NanjingPeople's Republic of ChinaAsiaEmerging TechnologiesMachine LearningRobotRoboticsSoutheast University
NETL
NSTL
IEEE
