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K. Schilling, H. Roth, B. Theobold, "Intelligent Control of Autonomous Mobile Robots based on Low Cost Sensors", in B.H.V. Topping, A.I. Khan, (Editors), "Information Technology for Civil & Structural Engineers", Civil-Comp Press, Edinburgh, UK, pp 277-284, 1993. doi:10.4203/ccp.14.14.3

Abstract

Autonomously guided vehicles are a key component for the flexible flow of materials in the framework of factory automation. The aim is to transport in a typical industrial environment goods and to handle obstacles or path deviations with the on-board computing capabilities. This paper discusses the control architecture to perform this task on the basis of low cost sensors supported by suitable sensor data processing. In particular fuzzy control algorithms are presented, providing a robust approach for collision avoidance and docking to material transfer stations. The results are based on computer simulations and hardware tests.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 14 INFORMATION TECHNOLOGY FOR CIVIL & STRUCTURAL ENGINEERS Edited by: B.H.V. Topping and A.I. Khan Paper XIV.3 Intelligent Control of Autonomous Mobile Robots based on Low Cost Sensors K. Schilling, H. Roth and B. Theobold FH Ravensburg-Weingarten, Weingarten, Germany doi:10.4203/ccp.14.14.3 purchase the full-text of this paper Full Bibliographic Reference for this paper K. Schilling, H. Roth, B. Theobold, "Intelligent Control of Autonomous Mobile Robots based on Low Cost Sensors", in B.H.V. Topping, A.I. Khan, (Editors), "Information Technology for Civil & Structural Engineers", Civil-Comp Press, Edinburgh, UK, pp 277-284, 1993. doi:10.4203/ccp.14.14.3 Abstract Autonomously guided vehicles are a key component for the flexible flow of materials in the framework of factory automation. The aim is to transport in a typical industrial environment goods and to handle obstacles or path deviations with the on-board computing capabilities. This paper discusses the control architecture to perform this task on the basis of low cost sensors supported by suitable sensor data processing. In particular fuzzy control algorithms are presented, providing a robust approach for collision avoidance and docking to material transfer stations. The results are based on computer simulations and hardware tests. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £60 +P&P)
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