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


  • Rupin Bhatnagar
  • Aviral Sundli
  • Sharveshwaran U


Block B, Shiv Nadar University

Contact Person

Dr. Ganeshthangaraj Ponniah, Assistant Professor