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Chris Atkeson
Professor, RI/HCII

Associated center: CFR

Email address: cga@cs.cmu.edu

Mailing address:
Carnegie Mellon University
Robotics Institute
5000 Forbes Avenue
Pittsburgh, PA 15213

For more information, see my personal homepage.

Jump to: Biography | Research interests | Keywords | Labs & groups | Projects | Publications

Biography

I received my PhD from MIT in Brain and Cognitive Sciences in 1986. I was on the faculty in MIT's Brain and Cognitive Science Department and Artificial Intelligence Laboratory and Georgia Tech's College of Computing before coming to CMU in 2000. I received an NSF Presidential Young Investigator Award, a Sloan Research Fellowship, and a Teaching Award from the MIT Graduate Student Council.

This section last updated - January 1999.

Research interests

I am an experimentalist in the field of robot learning, specializing in the learning of challenging dynamic tasks such as juggling. I am also working on applying ideas and techniques from robotics to intelligent environments. I combine designing learning algorithms with exploring their behavior in implementations on actual robots and in intelligent environments. My research interests include nonparametric learning, reinforcement learning, learning from demonstration, and modeling human behavior. For more detail please see my personal home page.

This section last updated - January 1999.

Research interest keywords

artificial intelligence, control, entertainment robotics, human-computer interaction, humanoid robotics, intelligent environments, legged locomotion, machine learning, manipulation, motion planning, planning, and quality-of-life technology

Current Labs & Groups

Robotics Education Lab - The Robotics Education Lab is a central resource to support courses and individual projects in robotics.
 

Current Projects

Dynamic Biped - We are developing a new series of bipedal walking robots that use passive-dynamic principles.
Informedia Digital Video Library - Informedia Digital Video Library - Informedia is pioneering new approaches for automated video and audio indexing, navigation, visualization, summarization search, and retrieval and embedding them in systems for use in education, health care, defense intelligence and understanding of human activity.
Learning Locomotion - Robust planning and control of the quadruped robot "Little Dog" to traverse rough terrain (DARPA sponsored).
Navigation Among Movable Obstacles - Autonomous motion planning and control for robots working in reconfigurable environments.
Quality of Life Technology Center - QoLT is a unique partnership between Carnegie Mellon and the University of Pittsburgh that brings together a cross-disciplinary team of technologists, clinicians, industry partners, end users, and other stakeholders to create revolutionary technologies that will improve and sustain the quality of life for all people.
 

Recent publications [View all 12 publications]

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