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Mahmoud Shahrokhi

Mahmoud Shahrokhi

Academic rank: Associate Professor
ORCID:
Education: PhD.
ScopusId: 34868547400
Faculty: Faculty of Engineering
Address: Department of Industrial Engineering, Room 305
Phone: 09163656344

Research

Title
An approach to optimise an avatar trajectory in a virtual workplace
Type
JournalPaper
Keywords
simulation- risk analysis-virtual reality- path planning- fuzzy logic
Year
2010
Journal International Journal of Computer Integrated Manufacturing
DOI
Researchers Mahmoud Shahrokhi ، Alain Bernard ، George Fadel

Abstract

A dynamic programming approach is developed to find the optimal operator walking trajectory in simulated risky and encumbered industrial workplaces. The risk for the trajectories is evaluated by calculating the area of the cross section of the fuzzy danger zones in the operator’s path. The workplace is discretised into rectangular cells, and the optimal trajectory is approximated by a polygon, connecting the centres of ordered cells. This method is adapted for both determining the optimal operator paths and simulating the operator behaviour in the virtual engineering platforms. The results are useful to develop emergency safety procedures, risk concept training and to evaluate safety in the workplace.