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Faculty

Eric Eaton

Eric Eaton

Research Associate Professor, 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


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Research Groups

Publications

Expert-augmented machine learning

Publisher National Academy of Sciences

Artificial intelligence for pediatric ophthalmology

Publisher Lippincott Williams & Wilkins (LWW)

Building more accurate decision trees with the additive tree

Publisher National Academy of Sciences

Deep transfer learning for few-shot SAR image classification

Publisher Multidisciplinary Digital Publishing Institute (MDPI)

Learning shared knowledge for deep lifelong learning using deconvolutional networks

Publisher International Joint Conference on Artificial Intelligence (IJCAI)

SAR image classification using few-shot cross-domain transfer learning

Publisher IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR)

Transfer Learning via Minimizing the Performance Gap Between Domains

Publisher Advances in Neural Information Processing Systems

Lifelong inverse reinforcement learning

Publisher Conference on Neural Information Processing Systems

Modeling consecutive task learning with task graph agendas

Publisher International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)

Multi-agent distributed lifelong learning for collective knowledge acquisition

Publisher International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)

ACM SIGAI activity report

Publisher AI Matters

Lifelong Learning with Gaussian Processes

Publisher Lecture Notes in Computer Science (LNCS)

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)

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)

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

Publisher International Joint Conference on Artificial Intelligence (IJCAI)

Safe Policy Search for Lifelong reinforcement learning with sublinear regret

Publisher IEEE International Conference on Robotics and Automation (ICRA)

News

Faculty News

Pioneering robotic triage

October 3, 2024


Alumni News

Faculty News

GRASP News

Student News

Highlights from GRASP at CoRL 2022

December 20, 2022


Ph.D. Students

Meghna Gummadi

Robotics MSE '18, PhD, CIS


Marcel Hussing

PhD, CIS


Kyle Vedder

PhD, CIS


Edward Zhang

PhD, CIS


Alumni

Sima Behpour

PostDoc, CIS '2020; Lead Research Scientist at Bosch USA


Haitham Bou Ammar

PostDoc, CIS "13-'14 - Senior Principal Scientist, Huawei


Cassie Kent

PostDoc, CIS '20-'22


Seungwon Lee

PhD, CIS '24


José Marcio Luna

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


Jorge Mendez Mendez

Robotics MSE '18 - PhD, CIS '22 - MIT CSAIL


James Stokes

Post Doc, CIS '18 - Simons Foundation


Eric Eaton

Research Areas

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