Emanuel Todorov

Emanuel (Emo) Vassilev Todorov (born 1971), a neuroscientist, is an associate professor and director of the Movement Control Laboratory^[1] 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.^[2]

Todorov completed his PhD in MIT under the supervision of Michael Jordan and Whitman Richards.^[3] He was a postdoctoral fellow at the Gatsby Computational Neuroscience Unit^[4] at UCL under Peter Dayan and Geoffrey Hinton. He is a recipient of the 2004 Sloan Fellowship in neuroscience.^[5]

In 2002 he proposed that stochastic optimal control principles are a good theoretical framework for explaining biological movement.^[6] 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."^[7] It has been described in the popular scientific press together with other connections between biology and optimisation principles.^[8] 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".^[9]

Su trabajo sobre manos robóticas ha aparecido en publicaciones populares sobre robótica. ^{[ 10 ] [ 11 ] [ 12 ]} En enero de 2017 fue entrevistado para el Robots Podcast . ^{[ 13 ]}

Es beneficiario de 11 subvenciones de la Fundación Nacional de Ciencias por un total de más de 7,5 millones de dólares como investigador principal . ^{[ 14 ]}

• El Laboratorio de Control de Movimiento
• Publicaciones de Emanuel Todorov