Reinforcement learning of quadruped at SE

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 a reinforced learning algorithm
• Develop learning content and a one-semester course on the development of self-learning robot
• The results of the study would be made public in the form of research articles, and detailed project reports, for further research/adoption

Funding Agency
Dassault Systemes Foundation, India

Students

• Rupin Bhatnagar
• Aviral Sundli
• Sharveshwaran U

Location

Block B, Shiv Nadar University

Contact Person

Dr. Ganeshthangaraj Ponniah, Assistant Professor