Paper
27 March 1989 An Environment For The Development Of Sensor-Based Robot Software
Bruce Mack, Raymond Allard, Mohammed M. Bayoumi
Author Affiliations +
Proceedings Volume 1002, Intelligent Robots and Computer Vision VII; (1989) https://doi.org/10.1117/12.960307
Event: 1988 Cambridge Symposium on Advances in Intelligent Robotics Systems, 1988, Boston, MA, United States
Abstract
In present robot systems, much time and effort is expended in implementing, testing and evaluating sensor processing algorithms and control schemes. This tends to reduce creativity in prototype development and may discourage modernization as technology improves. Therefore, we have devised a "Robot Controller Test Station" (RCTS). RCTS is an environment for implementing, testing and comparing novel adaptive control and sensor processing algorithms. This environment integrates a dynamics simulator and a real robot into a distributed processing environment. Unlike other test stations, the RCTS design emphasizes flexibility, portability, ease of modification and ease of use. The software design of RCTS makes extensive use of standardized signal names, state tables and clearly bounded control and communication blocks. Therefore, new interfaces to hardware and processing routines can be easily integrated into RCTS. The robot control problem is modularized into three levels with control processing separated from sensor processing. This six module structure and the prioritized communication scheme was chosen to reduce the response time of the robot to sensor data. This paper discusses the implementation of the design of RCTS and discuss its advantages for integrating sensors into the distributed robot control environment.
© (1989) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bruce Mack, Raymond Allard, and Mohammed M. Bayoumi "An Environment For The Development Of Sensor-Based Robot Software", Proc. SPIE 1002, Intelligent Robots and Computer Vision VII, (27 March 1989); https://doi.org/10.1117/12.960307
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Cited by 5 scholarly publications.
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KEYWORDS
Sensors

Process control

Data processing

Robotic systems

Device simulation

Operating systems

Robot vision

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