Paper
20 August 1999 Compensating for robot arm positioning inaccuracy in 3D space
Peyman Kabiri, Nasser Sherkat, Chi-Hsien Victor Shih
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Abstract
This paper reports research in compensating for position inaccuracy and flexibility problems in a loosely coupled robot arm by means of machine learning methods. Error sources in the system are studied and problems are described. A number of methods for eliminating problems due to inaccuracy in 2D-space have been previously reported. These methods have been extended to address the problem in 3 dimensions. Utilizing a real time monitoring system, the end-effector position is sensed. The collected data is converted into appropriate error maps. Using a novel machine learning method, the error maps are used to predict system errors and compensate for them. The machine learning engine generalizes the data for the points between the sampled points. The experimental results are presented.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Peyman Kabiri, Nasser Sherkat, and Chi-Hsien Victor Shih "Compensating for robot arm positioning inaccuracy in 3D space", Proc. SPIE 3833, Intelligent Systems in Design and Manufacturing II, (20 August 1999); https://doi.org/10.1117/12.359510
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Laser range finders

Machine learning

Error analysis

Data conversion

Manufacturing

Sensors

Space robots

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