Chris Paxton is a roboticist who has worked for FAIR labs at Meta and NVIDIA research. He earned his PhD in Computer Science in 2019 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. His work won the ICRA 2021 Best Paper Award on Human-Robot Interaction and was nominated for best systems paper at CoRL 2021, ...