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.
Project deliverables:
- Design and development of 12 axis quadruped robot as a reinforced learning robot
- Develop reinforced learning algorithm
- 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
Funding agency: Dassault Systemes Foundation, India
Duration: 2021-22