Anusha Nagabandi

Anusha Nagabandi

I'm a third year Ph.D. student in EECS at UC Berkeley. I am advised by Prof. Sergey Levine (Robotic AI and Learning Lab) and Prof. Ron Fearing (Biomimetic Millisystems Lab). My current research interests lie in deep learning for control, to generate autonomous and collaborative behaviors for robots. We work toward a team of small, inexpensive, and highly mobile robots that work together to autonomously accomplish complex real-world tasks such as search and rescue, construction, surveillance, exploration, etc.

In the single-robot regime, we desire autonomous robots that can not only learn complex skills, but can continuously adapt and extend their skills to solve other tasks as well. In the multi-robot regime, we draw motivation from biology, and we envision enhanced robot mobility through learned cooperative locomotion skills: a robot pushes another robot up a step, a robot helps a flipped robot right itself by pushing it over, a robot pulls another robot with a tether, robots construct ramps out of themselves in order to cross gaps, robots use their collective strength to move large objects, etc.

I completed my undergraduate studies in Electrical Engineering at the University of Illinois at Urbana-Champaign, where I was an undergraduate research assistant at the Micro and Nanotechnology Lab and Bretl Research Group. I have previously worked as a robotics instructor at MySTEM Academy, a coach at Campus Middle School for Girls for FIRST Lego League competitions, a researcher at Carnegie Mellon Robotics Institute, a Product Engineering intern at Texas Instruments, an intern in the Control and Autonomous Systems Engineering group at MIT Lincoln Laboratory, and a software intern at Carnegie Robotics.

Email:  nagaban2 AT berkeley DOT edu