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Content Provider | IEEE Xplore Digital Library |
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Author | Yan Meng |
Copyright Year | 2006 |
Description | Author affiliation: Stevens Inst. of Technol., Hoboken, NJ (Yan Meng) |
Abstract | To make a mobile robot with real-time vision system adapt to the highly dynamic environments and emergencies under the real-time constraints, a significant account of processing power is needed. Instead of pushing the limit of software development and computational resources, and to reduce the system computation time and improve system fault-tolerance, this paper presents an embedded platform which can dynamically reconfigure a mobile robot system on the fly by integrating field programmable gate arrays (FPGA) and embedded processors in a system-on-chip (SOC) environment. The BDI agent model is adopted as the unified agent structure, which significantly simplify the HW/SW partitioning and communication. A self-reconfigurable platform is also proposed to improve the hardware flexibility. This proposed embedded framework has been applied to a real-world mobile robot, and the experimental results demonstrate its feasibility and efficiency |
Sponsorship | IEEE Robotics and Autom. Soc |
Starting Page | 3368 |
Ending Page | 3373 |
File Size | 429467 |
Page Count | 6 |
File Format | |
ISBN | 0780395050 |
ISSN | 10504729 |
DOI | 10.1109/ROBOT.2006.1642216 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2006-05-15 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Mobile robots Real time systems Embedded computing Field programmable gate arrays Machine vision Programming Fault tolerant systems System-on-a-chip Mobile communication Hardware |
Content Type | Text |
Resource Type | Article |
Subject | Artificial Intelligence Control and Systems Engineering Electrical and Electronic Engineering Software |
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