Research Group


Research Groups

Lifelong Machine Learning

Lifelong Machine Learning

Eric Eaton

Lifelong learning is a key characteristic of human intelligence, enabling us to continually acquire and refine our knowledge and abilities over a lifetime of experience across diverse domains. However, lifelong learning for intelligent systems remains a largely unsolved problem.

The Lifelong Machine Learning Research Group, led by Eric Eaton seeks to develop a comprehensive approach to lifelong learning for autonomous systems.  The group’s research addresses fundamental issues of continual learning and transfer across diverse tasks, scalable knowledge maintenance, self-directed learning, adaptation to changing environments with guaranteed performance and safety, and interaction with end-users and other agents.  These techniques are applied to problems in autonomous service robots and precision medicine. 

Faculty

Eric Eaton

Senior Lecturer, CIS


Staff

David Kent

PostDoc, CIS


Students

Jorge Mendez Mendez

Robotics MSE '18 - PhD, CIS


Seungwon Lee

PhD, CIS


Alumni

Alexander Ryan Baucom

Robotics MSE '17 - Intuitive Surgical


David Isele

Robotics MSE '14; PhD, CIS '17


Haitham Bou Ammar

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


James Stokes

Post Doc, CIS '18 - Simons Foundation


José Marcio Luna

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


Mohammad Rostami

Robotics MSE '16, PhD ESE'19


Sakthivel Sivaraman

Robotics MSE '18 - NVIDIA


Shashank Shivkumar

Robotics MSE '18 - Honeywell Aerospace


Varun Gupta

Robotics MSE '18 - Rivian


Vishnu Sreenivasan

Robotics MSE '15 - Yelp


William (Brad) Thompson

Robotics MSE '17 - COSY


Lifelong Machine Learning