Chris Paxton

I am a senior research scientist affilitiated with NVIDIA's Seattle Robotics lab focusing on learning representations we can use for task and motion planning from sensor data. I’m interested in ways we can allow robots to work alongside humans to perform complex, multi-step tasks, using a combination of learning and planning.

I got my PhD in Computer Science in 2018 from the Johns Hopkins University in Baltimore, Maryland, focusing on using learning to create powerful task and motion planning capabilities for robots operating in human environments. Since then, I have been with NVIDIA, first in Seattle and now in Pittsburgh. Recently, I have been working on approaches that tie together language, perception, and action, in order to make robots into robust, versatile assistants for a variety of applications. Other areas of interest include human-robot interaction.

You can see more of my previous work on my personal website or my github page.

Main Field of Interest: