I received my Ph.D. from the Mechanical and Mechatronics Engineering department at the University of Waterloo in December 2009. The focus of my research was developing efficient algorithms to solve the problem of Task-Based Configuration Optimization (TBCO) in Modular and Reconfigurable Robots (MRRs). As a part of my research, I designed, integrated, programmed, and tested a novel MRR called Waterloo Modular and Reconfigurable Robot (WMRR).

Under the supervision of professors Christopher Clark and William Melek, I worked simultaneously at the Lab for Autonomous and Intelligent Robotics (LAIR) and the Lab for Computational Intelligence and Automation (LCIA). As a part of the NSERC-Industrial Postgraduate Scholarship I also worked for Sterner Automation developing a prototype MRR called Waterloo Modular and Reconfigurable Robot (WMRR).

I received my B. Sc. and M. Sc. from the University of Tehran in 1999 and 2002 in Electrical Engineering. In My Master's, I worked on developing Sensorless position control algorithms for Switched Reluctance Motors (SRM). To validated my algorithm, I designed and implemented a motor drive and controller for an SRM.

Currently, I am a Posdoctoral Fellow at the university of Waterloo. I am also closely cooperating with AEMK Systems in design, integration, and software development for a novel parallel cable Robot called DeltaBot.

Education:

• Ph. D. Candidate, Mechatronics and Mechanical Engineering, University of Waterloo, Waterloo, 2009.
• M. Sc. Electrical Engineering, University of Tehran, Tehran, 2002.
• B. Sc. Electrical Engineering, University of Tehran, Tehran, 1999.

Research interests:

• Modular and reconfigurable robots
  • Control, design, and applications
  • Kinematic configuration design and optimization
• Applications of optimization algorithms in robot design
• Embedded system design and firmware development
• Kinematic analysis of robotic manipulators
• Path planning and trajectory optimization
• Optimization algorithms, including but not limited to:
  • Genetic Algorithms (GAs)
  • Memetic Algorithms (MAs) - Hybrid local search/Genetic Algorithm
  • Divergence based methods
  • Direct search methods

Contact:

• E-mail: tabandeh AT uwaterloo DOT ca
• E-mail: saleh.tabandeh AT gmail DOT com
• LinkedIn profile