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Deep Learning-based Target Following and Obstacle Avoidance Methods in Mobile Robots

Authors
Lee, M.C.Lee, M.
Issue Date
Oct-2022
Publisher
Institute of Electrical and Electronics Engineers Inc.
Keywords
companion robot; mobile robot; object avoidance; object detection and classification; object tracking
Citation
2022 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2022
Journal Title
2022 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2022
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/69898
DOI
10.1109/ICCE-Asia57006.2022.9954653
ISSN
0000-0000
Abstract
In this study, we develop a companion robot function that can recognize people and obstacles, and track the human target while avoiding the obstacles. In implementing the JetBot tracking function, a deep learning-based object detection model is modified and utilized. A transfer learning algorithm with a pretrained mobile model is introduced for a feasible operation in the proposed framework with mobile robots.
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창의ICT공과대학 (전자전기공학부)
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