Teaching

Robot Manipulation and Control - SP ’23

• Developed exercises for manipulation kinematics, dynamics, control, and planning using Python li- braries such as roboticstoolbox, sympy, and pybullet.

Robot Reinforcement Learning - Fall ’19, ’20, ‘21

• Developed exercises for training control policy using policy gradients, actor-critic networks, and deep deterministic policy gradients using Python libraries such as pytorch and pybullet.

Computation Data Analysis and Product Development - SP ’20, ’21

• Tested homework for solving real-world problems using probability theory and statistics using Python libraries such as networkx, sympy, and scipy.
• Assisted students with developing dashboards and hosting them on AWS-EC2 instances.