Obstacle Avoidance Learning for Robot Motion Planning in Human-Robot Integration Environments

In the human-robot integration environment, it is essential for mobile robots to pass through the crowd and complete the navigation task smoothly. However, the current mainstream robot navigation algorithms only treat pedestrians as dynamic obstacles and passively avoid pedestrians in local planning...

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Veröffentlicht in:	IEEE transactions on cognitive and developmental systems Jg. 15; H. 4; S. 1
Hauptverfasser:	Hong, Yang, Ding, Zhiyu, Yuan, Yuan, Chi, Wenzheng, Sun, Lining
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.12.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Collision avoidance Conditional Variational Autoencoder Dynamic Obstacle Avoidance Human motion Human-Robot Integration Environment Learning Motion planning Navigation Obstacle avoidance Path planning Pedestrians Planning Predictive models Robot dynamics Robot motion Robots Trajectory
ISSN:	2379-8920, 2379-8939
Online-Zugang:	Volltext
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