People


Faculty

Eric Eaton

Eric Eaton

Senior Lecturer, CIS

“Eric Eaton is a faculty member in the Department of Computer and Information Science at the University of Pennsylvania, and a member of the GRASP (General Robotics Automation, Sensing, Perception) lab. Prior to joining Penn, he was a Visiting Assistant Professor in the computer science department at Bryn Mawr College. His primary research interests lie in the fields of machine learning, artificial intelligence, and data mining with applications to robotics, search & rescue, environmental sustainability, and medicine. In particular, his research focuses on developing versatile AI systems that can learn multiple tasks over a lifetime of experience in complex environments, transfer learned knowledge to rapidly acquire new abilities, and collaborate effectively with humans and other agents through interaction. This research is funded by grants from the Office of Naval Research, the National Science Foundation, and Lockheed Martin.

Before moving into academia, Eric spent two years as a senior research scientist at Lockheed Martin Advanced Technology Laboratories working in applied research. At Lockheed Martin ATL, he led a number of machine learning research projects in the Artificial Intelligence Lab with a focus on their application for a variety of DoD organizations. While at Lockheed Martin, he was also part-time faculty in computer science at Swarthmore College.

Eric received his Ph.D. in computer science from the University of Maryland, Baltimore County (UMBC), focusing on artificial intelligence and machine learning. His dissertation developed methods for selective knowledge transfer between learning tasks and was advised by Marie desJardins. At UMBC, he was a member of the Multi-Agent Planning and LEarning (MAPLE) research group and also a part-time instructor.”

Research Areas

  • Service Robots
  • Perception
  • Vision
  • Data-Driven Control Algorithms
  • Autonomy
  • Machine Learning

Research Groups

Publications

ACM SIGAI activity report

Publisher AI Matters

Autonomous Cross-Domain Knowledge Transfer in Lifelong Policy Gradient Reinforcement Learning

Publisher International Joint Conference on Artificial Intelligence (IJCAI)

Design of a Low-Cost Platform for Autonomous Mobile Service Robots

Publisher International Joint Conference on Artificial Intelligence (IJCAI)

Lifelong Learning for Disturbance Rejection on Mobile Robots

Publisher IEEE International Conference on Intelligent Robots and Systems (IROS)

Safe Policy Search for Lifelong reinforcement learning with sublinear regret

Publisher IEEE International Conference on Robotics and Automation (ICRA)

Transfer Learning via Minimizing the Performance Gap Between Domains

Publisher Advances in Neural Information Processing Systems

Using Task Features for Zero-Shot Knowledge Transfer in Lifelong Learning

Publisher International Joint Conference on Artificial Intelligence (IJCAI)

Who Speaks for AI?

Publisher AI Matters

Work in Progress: Lifelong Learning for Disturbance Rejection on Mobile Robots

Publisher International Conference on Autonomous Agents and Multiagent Systems (AAMAS)

News

Students

Nicole Chiou

Robotics MSE


Meghna Gummadi

Robotics MSE '18, PhD, CIS


John Harkins

Robotics MSE (On Leave of Absence)


Marcel Hussing

PhD, CIS


Seungwon Lee

PhD, CIS


Zeshen Liu

Robotics MSE


Brandon McBride

Robotics MSE


Jorge Mendez Mendez

Robotics MSE '18 - PhD, CIS


Prachi Nawathe

Robotics MSE


Jonathan Schoeffling

Robotics MSE


John Thompson

Robotics MSE


Kyle Vedder

PhD, CIS


Maian Zhang

Robotics MSE


Research Staff

David Kent

PostDoc, CIS


Alumni

Sima Behpour

PostDoc, CIS '2020


Haitham Bou Ammar

PostDoc, CIS "13-'14 - PostDoc, Princeton University


Kara Breeden

Robotics MSE '19 - MIT Lincoln Laboratory


Tanmay Chordia

Robotics MSE '19


Feifei Duan

Robotics MSE '19


Anvith Ekkati

Robotics MSE '18


Nour Hussein

Robotics MSE '19 - Exyn Technologies


Alberto Jimenez

Robotics MSE '18 - Salesfoce


Wei-Yin Ko

Robotics MSE '18


José Marcio Luna

PostDoc, CIS '16 - Research Associate, Perelman School of Medicine UPenn


Kanika Mohan

Robotics MSE '19 - Foundry.ai


Shrenik Muralidhar

Robotics MSE '19


Christopher Painter

Robotics MSE '19


Mohammad Rostami

Robotics MSE '16, PhD ESE'19


Shashank Shivkumar

Robotics MSE '18 - Honeywell Aerospace


James Stokes

Post Doc, CIS '18 - Simons Foundation


David Wang

Robotics MSE '19 - Amazon Robotics


Dianzhuang Wang

Robotics MSE '18


Emily Zee

Robotics MSE '19


Baihong Zeng

Robotics MSE '20


Ningshan Zhang

Robotics MSE '19


Eric Eaton

Research Areas

  • Service Robots
  • Perception
  • Vision
  • Data-Driven Control Algorithms
  • Autonomy
  • Machine Learning