|Shishir N. Y. Kolathaya||RBCCPS|
|Bharadwaj Amrutur||RBCCPS/Electrical Communication Engineering (ECE)|
|Ashitava Ghosal||Mechanical Engineering (ME)|
|Shalabh Bhatnagar||Computer Science and Automation (CSA)|
RBCCPS has a custom built four legged robot (quadruped) called “Stoch”. The main goal is to explore deep-reinforcement learning algorithms to achieve a wide variety of walking behaviours. The quadruped must be able to plan and navigate over a diverse set of environments like flat plains, undulating and slippery surfaces, and also muddy terrains. Besides walking, we are also interested in exploring applications like:
- The quadruped must use vision, inertial measurements and other sensory information to read its surroundings, and then plan and execute its motion to a designated point.
- A traditional arm mechanism attached to the quadruped must be able to pick and place movable objects from one point to another.