Princeton Robotics

All day long, our fingers touch, grasp and move objects in various media such as air, water, oil.

Despite 50 years of research, robots remain remarkably clumsy, limiting their reliability for warehouse order fulfillment, robot-assisted surgery, and home decluttering.

We'd like to build robots that can help us with just about anything. Central to this is getting robots to build a general-purpose representation of the world from perception, and then use it to inform actions. Should this representation be 2D? or 3D?

Since the 1960’s we have lived with the promise of one day being able to own a robot that would be able to co-exist, collaborate and cooperate with humans in our everyday lives.

An enduring goal of AI and robotics has been to build a robot capable of robustly performing a wide variety of tasks in a wide variety of environments; not by sequentially being programmed (or taught) to perform one task in one environment at a time, but rather by intelligently choosing appropria

Waymo is building the "World's Most Experienced Driver". This talk will discuss data challenges that arise when scaling machine learning systems with almost 1500 years worth of real-life human driving.

In nature, groups of thousands of individuals cooperate to create complex structure purely through local interactions — from cells that form complex organisms, to social insects like termites and ants that build nests and self-assemble bridges, to the complex and mesmerizing motion of fish school

The Princeton Robotics Seminar series continues in Fall 2022 with all events fully in-person. It is scheduled on Fridays at 11am-12pm eastern time. The location is Computer Science Building, Room 105.