Development of a Self-Learning Robotic Platform for Collision Avoidance

Student: Shvarova Ekaterina

Faculty: HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE)

Educational Programme: Information Science and Computation Technology (Bachelor)

Final Grade: 8

Year of Graduation: 2017

The aim of the work is to create a platform that can bypass obstacles. In this paper, we show how to assemble a six-legged beetle robot on the Arduino platform. Its task is to handle the user's commands. Also, the robot must dodge obstacles. As a result of the work, a system is represented that is a hexapod that can bypass obstacles, process and execute user commands. In the future, this method can be used as an experimental system for testing various models in the real world. The amount of work is 31 pages, including 12 figures and 8 information sources

Full text (added May 15, 2017)

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