Sepehr Samavati received his BSc in Electrical Engineering (Control) from University of Tehran, in 2017. The title of his bachelor thesis was “An Optimal Motion Planning and Obstacle Avoidance Algorithm Based on the Finite Time Velocity Obstacle Approach” under the supervision of Dr. Mahdi Tale Masoule. The thesis has been accepted and presented at CSI International Symposium, 2017, Shiraz University, Shiraz, Iran.
He also has been an active person in a variety of activities. He elected as the President of the Head Student Council at the University of Tehran, as well as the Student Council of Faculty of Engineering and school of electrical and computer engineering.
He is interested in many subjects Including programming, artificial intelligence, Control Theory, and robotics. He Ranked 48th (2nd in the country) in the IEEEXtreme programming competition held by IEEE organization. He also has experience in working with AVR microcontrollers, ARM microprocessors and MATLAB programming.
He joined the Human and Robot Interaction Lab (Taarlab) in 2017. Currently, he is working on algorithms for robots’ intelligent navigation based on obstacle avoidance.