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Article: Researchers from Ryerson University describe findings in machine learning.
- Article from:
- Robotics & Machine Learning
- Article date:
- November 9, 2009
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"This paper investigates self-motion control of redundant nonholonomic mobile manipulators, to execute multiple secondary tasks including tip-over prevention, singularity removal, obstacle avoidance and physical limits escape. An extended gradient projection method (EGPM) is proposed to determine self-motion directions, and a real-time fuzzy logic self-motion planner (FLSMP) is devised to generate the corresponding self-motion magnitudes," scientists in Toronto, Canada report.
"Unlike the task-priority allocation method and the extended Jacobian method, the proposed scheme is simple to implement and is free from algorithm singularities. The proposed dynamic model ...
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Article: Researchers from Ryerson University detail findings ...
Robotics & Machine Learning;
December 22, 2008 ;
700+ words
... ... and colleagues, Ryerson University. The researchers ... contact M.H. Ali, Ryerson University, Dept. of Electrical ... Systems Technology, Ryerson University. This article ... Robotics & Machine Learning editors from staff ...
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