Christopher G. Atkeson

Christopher G. Atkeson
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]

Contents

Early life and education

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.

Career

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.

Honors and awards

  • National Science Foundation Engineering Initiation Award, 1987-1988.
  • National Science Foundation Presidential Young Investigator Award, 1988-1993.
  • W. M. Keck Foundation Assistant Professorship in Biomedical Engineering, 1988-1990.
  • Alfred P. Sloan Research Fellow, 1989-1991.
  • W. M. Keck Foundation Associate Professorship in Biomedical Engineering, 1990-1991.
  • Teaching Award from the MIT Graduate Student Council, 1990.
  • Edenfield Faculty Fellowship Award, 1995.
  • Elected by faculty to College of Computing Dean’s Advisory Committee, 1995–1996, 1996–1997.
  • Finalist, Best Paper Award, ICRA 2000.

Personal life

Atkeson is married to Jessica Hodgins, Professor of Computer Science and Robotics at CMU and the Director of Disney Research, Pittsburgh.

References

  1. ^ Atkeson, C.G.; Moore, A.W. and Schaal, S. (1997). "Locally weighted learning". Artificial intelligence review 11 (1): 11–73. 

External links


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