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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chen Wen-lin Cao Rui-min Hao Li-na Wang Qing |
| Copyright Year | 2015 |
| Description | Author affiliation: Sch. of Mech. Eng. & Autom., Northeastern Univ., Shenyang, China (Cao Rui-min) || Sch. of Mech. Eng. & Autom. Authors, Northeastern Univ., Shenyang, China (Hao Li-na) || Coll. of Resources & Civil Eng., Northeastern Univ., Shenyang, China (Chen Wen-lin; Wang Qing) |
| Abstract | In the premise of introducing existing seven kinds of commonly used robot architectures at home and abroad and analyzing their strengths, weaknesses as well as applications, this paper shows the CPS-R architecture which is applied in the internal of robots to solve the problem in unknown dynamic environment and deeply compliant operation in detail where the current robot architecture cannot meet. Through describing the function and data flow of each component in CPS-R such as external environment in real-world, sensors, actuators, device interfaces in the physical layer, message generation and task allocation, network security authentication and prioritization, information collection, analysis, decision-making and sharing in the information layer. This paper analyzes the challenges of CPS-R architecture such as feasibility, real-time, security, reliability, intelligence, hardware/software standardization of information sharing in the end. |
| Starting Page | 603 |
| Ending Page | 607 |
| File Size | 121107 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781479987283 |
| e-ISBN | 9781479987306 |
| DOI | 10.1109/CYBER.2015.7288009 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-06-08 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Actuators System architecture Service robots Robot kinematics Computer architecture Robot sensing systems Robot CPS-R Challenge |
| Content Type | Text |
| Resource Type | Article |
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