| Christopher G. Atkeson | |
|---|---|
| Born | 1959 |
| Residence | Pittsburgh, PA |
| Nationality | American |
| Fields | Robotics and Machine Learning |
| Institutions | Carnegie Mellon University Georgia Institute of Technology Massachusetts Institute of Technology |
| Alma mater | Massachusetts Institute of Technology Harvard University |
| Doctoral advisor | Emilio Bizzi |
Christopher Granger Atkeson (born 1959) is an American roboticist and a Professor at the Robotics Institute and Human-Computer Interaction Institute at Carnegie Mellon University. Atkeson is known for his work in humanoid robots and machine learning, most notably on locally weighted learning.[1]
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Atkeson graduated summa cum laude from Harvard University in 1981 with an A.B. in Biochemistry. He received his S.M. degree in Applied Mathematics in the same year, also from Harvard. He then attended the Massachusetts Institute of Technology and received his PhD in Brain and Cognitive Science from the in 1986, advised by Emilio Bizzi.
Before joining the faculty at CMU in 2000, he was an Assistant, then Associate Professor in the department of Brain and Cognitive Sciences at MIT from 1986-1993, an Associate Professor at the College of Computing, Georgia Institute of Technology from 1994 to 2000.
Atkeson is married to Jessica Hodgins, Professor of Computer Science and Robotics at CMU and the Director of Disney Research, Pittsburgh.