Reinforcement learning is a form of machine learning algorithm that continuously learns by interacting with the environment. In this project, a quadruped robot learns to walk from its environment.

The project, funded by Dassault Systemes Foundation, aims to design and development of 12 axis quadruped robot as a reinforced learning robot. Decides developing reinforced learning algorithms, the research also looks to develop learning content and one semester course on development of self-learning robot.

The results of the study would be made public in the form of research articles, detailed project reports, for further research / adoption

Faculty: Dr. Ganeshthangaraj Ponniah, Assistant Professor