Several New Mathematical Models for the Integrated Optimization and Control of Human-Friendly Parallel Robots for Advanced Healthcare and Biomedical Manipulation
Postdoctoral fellow: Dr. Zhen Gao, Mechanical Engineering, University of Ontario Institute of Technology
Lead faculty member: Dr. Dan Zhang, Mechanical Engineering, University of Ontario Institute of Technology
This research develops a comprehensive methodology for the integrated optimization and control of human-friendly robotic technology that will be applied for the advanced healthcare and biomedical manipulation. Some original ideas, methods and algorithms are proposed in this research based on several novel mathematical models, which will benefit the development of general robotics in the direction of safety with high performance to human beings.
Dr. François Soumis, (École Polytechnique de Montréal)
Dr. Holger H. Hoos , University of British Columbia
Due to the explosive growth in the technology for manufacturing integrated circuits, modern chips contain millions of transistors. Using sophisticated optimization algorithms, it is possible to achieve notable increases in the performance of the chips, reduce the manufacturing costs, and produce faster, cheaper computing for society. Thus, the objective of this project is to enhance the solution of large-scale optimization problems arising in these applications.