Action-Inclusive Multi-Future Prediction Using a Generative Model in Human-Related Scenes for Mobile Robots

Mobility in daily unstructured environments, particularly in human-centered scenarios, remains a fundamental challenge for mobile robots. While traditional prediction-based approaches primarily estimate partial features for robot decision making, such as position and velocity, recent world models en...

Full description

Bibliographic Details

Published in:	IEEE access Vol. 13; pp. 167034 - 167044
Main Authors:	Xu, Chenfei, Ahmad, Huthaifa, Okadome, Yuya, Ishiguro, Hiroshi, Nakamura, Yutaka
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Behavioral sciences Data models Data sets for robot learning deep learning methods human-aware motion planning human–robot interaction Mobile robots Planning Predictive models Robot sensing systems Robots Transformers Videos Visualization
ISSN:	2169-3536, 2169-3536
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!