Christopher G. Atkeson | |
|---|---|
 | |
| Born | 28 May 1959 |
| Nationality | American |
| Alma mater | |
| Spouse | Jessica Hodgins |
| Scientific career | |
| Fields | Robotics and Machine Learning |
| Institutions | |
| Thesis | Roles of knowledge in motor learning (1986) |
| Doctoral advisor | Emilio Bizzi |
Christopher Granger Atkeson (born 28 May 1959) is an American roboticist and a professor at the Robotics Institute and Human-Computer Interaction Institute at Carnegie Mellon University (CMU).[1] Atkeson is known for his work in humanoid robots, soft robotics,[2] and machine learning, most notably on locally weighted learning.[3]
- ^ "Christopher Granger Atkeson - Google Scholar Citations". scholar.google.com. Retrieved 9 March 2018.
- ^ Hardy, Quentin (14 April 2015). "The Robotics Inventors Who Are Trying to Take the 'Hard' Out of Hardware". The New York Times. ISSN 0362-4331. Retrieved 15 August 2016.
- ^ Atkeson, C.G.; Moore, A.W.; Schaal, S. (1997). "Locally weighted learning". Artificial Intelligence Review. 11 (1): 11–73. doi:10.1023/A:1006559212014. S2CID 9219592.