Emanuel (Emo) Vassilev Todorov (born 1971), a neuroscientist, is an associate professor and director of the Movement Control Laboratory at the University of Washington. He introduced the use of optimal control as a formal explanatory framework for biological movement (see below). He is the principal developer of the MuJoCo physics engine.
Todorov completed his PhD in MIT under the supervision of Michael Jordan and Whitman Richards. He was a postdoctoral fellow at the Gatsby Computational Neuroscience Unit at UCL under Peter Dayan and Geoffrey Hinton. He is a recipient of the 2004 Sloan Fellowship in neuroscience.
In 2002 he proposed that stochastic optimal control principles are a good theoretical framework for explaining biological movement. In 2011 this view was acknowledged by one of its critics, Karl Friston, to have become "the dominant paradigm for understanding motor behavior in formal or computational terms." It has been described in the popular scientific press together with other connections between biology and optimisation principles. An editorial comment by Kenji Doya about one of Todorov's articles in PNAS called it "a refreshingly new approach in optimal control based on a novel insight as to the duality of optimal control and statistical inference".
His work on robotic hands has been featured in popular publications on robotics."This Is the Most Amazing Biomimetic Anthropomorphic Robot Hand We've Ever Seen". IEEE Spectrum, Evan Ackerman, 18 February 2016"UW team creates robotic hand that learns to become more dexterous than yours". GeekWire, Alan Boyle, 9 May 2016 In January 2017 he was interviewed for the Robots Podcast."Robots Podcast : Physics-based Optimization for Robot Control, with Emo Todorov". Irish Tech News, Simon Cocking 20 January 2017.
He is the recipient of 11 National Science Foundation grant awards totalling more than $7.5 million as Principal Investigator.
References
External links The Movement Control Laboratory Publications of Emanuel Todorov