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A mosaic of eyes

Jiang, Ping; Feng, Zuren; Cheng, Yongqiang; Ji, Yuanxiang; Zhu, Jin; Baruch, John; Wang, Xiaonian; Tian, Feng; Hu, Fun


Ping Jiang

Zuren Feng

Yuanxiang Ji

Jin Zhu

John Baruch

Xiaonian Wang

Feng Tian

Fun Hu


Autonomous navigation is a traditional research topic in intelligent robotics and vehicles, which requires a robot to perceive its environment through onboard sensors such as cameras or laser scanners, to enable it to drive to its goal. Most research to date has focused on the development of a large and smart brain to gain autonomous capability for robots. There are three fundamental questions to be answered by an autonomous mobile robot: 1) Where am I going? 2) Where am I? and 3) How do I get there? To answer these basic questions, a robot requires a massive spatial memory and considerable computational resources to accomplish perception, localization, path planning, and control. It is not yet possible to deliver the centralized intelligence required for our real-life applications, such as autonomous ground vehicles and wheelchairs in care centers. In fact, most autonomous robots try to mimic how humans navigate, interpreting images taken by cameras and then taking decisions accordingly. They may encounter the following difficulties.


Jiang, P., Feng, Z., Cheng, Y., Ji, Y., Zhu, J., Baruch, J., …Hu, F. (2011). A mosaic of eyes. IEEE Robotics and Automation Magazine, 18(3), 104-113.

Publication Date Sep 13, 2011
Deposit Date Nov 13, 2014
Publicly Available Date Oct 27, 2022
Journal IEEE robotics & automation magazine
Print ISSN 1070-9932
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Volume 18
Issue 3
Pages 104-113
Keywords Navigation; Intelligent robots; Intelligent vehicles; Path planning; Mobile robots
Public URL
Publisher URL
Additional Information Author's accepted manuscript of article published in: IEEE robotics & automation magazine, 2011, v.18, issue 3


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