About

Poorva Agrawal is a graduate student in Robotics at Carnegie Mellon University with a strong background in controls. She is currently pursuing her Master's degree in Robotic Systems Development at the Robotics Institute and is keen on working at the intersection of robotics, autonomy, and controls. Poorva completed her undergraduate degree in Engineering Physics from the Indian Institute of Technology Delhi. She was a member of the Formula Student Electric (FSAE) team of her university and has academic project experience in optimal control. Currently, she is working on her capstone project in a team of 5 students which aims at enabling an electric chassis to autonomously dock and undock with a modular pod, and navigate autonomously with this configuration in a geofenced environment. As a Graduate Research Assistant at the airlab at Carnegie Mellon University, Poorva is developing a local planner to enable drones to rapidly and autonomously explore unknown environments for the DARPA Subterranean Challenge. She has also worked as a Robotics Intern at CMU Roborace, where she developed a trajectory planner for a Formula Electric style autonomous race car. In addition, Poorva has served as a Teaching Assistant at the Indian Institute of Technology, Delhi, where she formulated problem sets and corrected test papers for approximately 200 students in the course Principles of Electronic Materials. Poorva's education history includes a Master of Science in Robotic Systems Development from Carnegie Mellon University and a Bachelor of Technology in Engineering Physics from the Indian Institute of Technology, Delhi. Her tech stack includes experience as a Research Scientist and in testing. With 3.27 years of relevant experience, Poorva is a highly skilled and motivated individual with a passion for applying her knowledge to the field of robotics and autonomy.