Christopher G. Atkeson


Outreach

We are trying to start a robot museum

Baymax and Big Hero 6


Research: Publications, Videos, and Talks

My life goal is to fulfill the science fiction vision of machines that achieve human levels of competence in perceiving, thinking, and acting. A more narrow technical goal is to understand how to get machines to generate and perceive human behavior. I use two complementary approaches, exploring humanoid robotics and human aware environments. Building humanoid robots tests our understanding of how to generate human-like behavior, and exposes the gaps and failures in current approaches. Building human aware environments (environments that perceive human activity and estimate human internal state) pushes the development of machine perception of humans. In addition to being socially useful, building human aware environments helps us develop humanoid robots that are capable of understanding and interacting with humans.

Machine learning underlies much of my work in both humanoid robotics and human aware environments. I am an experimentalist in the field of robot learning, specializing in the learning of challenging dynamic tasks such as juggling. I combine designing learning algorithms with exploring their behavior in implementations on actual robots and in intelligent environments. My research interests include nonparametric learning, memory-based learning, reinforcement learning, learning from demonstration, and modeling human behavior.


Biography

I am a Professor in the Robotics Institute and Human-Computer Interaction Institute at CMU. I received the M.S. degree in Applied Mathematics (Computer Science) from Harvard University and the Ph.D. degree in Brain and Cognitive Science from M.I.T. I joined the M.I.T. faculty in 1986, moved to the Georgia Institute of Technology College of Computing in 1994, and moved to CMU in 2000. I have received an NSF Presidential Young Investigator Award, a Sloan Research Fellowship, and a Teaching Award from the MIT Graduate Student Council.

Slides from a biographical talk


Teaching


Students


Looking For Graduate Students

Potential PhD students need to be admitted to a CMU PhD program before I can take them on as students. Most of my students are in the Robotics Institute PhD Program. Plese don't send me email asking if I will accept you to a PhD program. Admissions is handled by an admissions committee, over which I have no influence. I can only consider students who have already been admitted to a PhD program.


Address:

cga at cmu dot edu
NSH A527
CMU RI
5000 Forbes Avenue
Pittsburgh, PA, 15213