- Artificial intelligence
- behavioural therapy
- Biomedical and Health
- Engineering
- Health
- healthcare
- invasive surgery
- Labor
- Mathematica
- Mathematical software
- Mathematics
- Mechanical engineering
- Operations research
- Optimization
- Robotics
- Science
- Social Issues
- Technology
- 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.
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. This research will generate new knowledge about how to optimize and control the robotic systems in an integrated way that they can be used as an effective approach to improve the human health. It is expected that the proposed robotic technologies will improve the quality of human healthcare and medical manipulation in domains of rehabilitation training, human-robot interaction, non-invasive surgery, and behavioural therapy.