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Robots combine AI learning and control theory to perform advanced movements

When it comes to training robots to perform agile, single-task motor skills, such as handstands or backflips, artificial intelligence methods can be very useful. But if you want to train your robot to ...
Nature

Optimal strategies for movement: success with variability

A new theory suggests the motor system acts as an optimal feedback controller and predicts such coordination features as task-constrained variability and goal-directed corrections. We often take for ...
Nature

Optimality principles in sensorimotor control

The appeal of optimality principles lies in their ability to transform a parsimonious performance criterion into elaborate predictions regarding the behavior of a given system. Optimal control models ...
insider.si.edu

Applications of control theory in ecology : proceedings of the Symposium on Optimal Control Theory, held at the State University of New York, Syracuse, New York, August 10-16 ...

Symposium on Optimal Control Theory (1986 : State University of New York, Syracuse, N.Y.) siris_sil_337886 ...
JSTOR Daily

Estimating Time-Varying Parameters in Linear Regression Models Using A Two-Part Decomposition of the Optimal Control Formulation

Sankhyā: The Indian Journal of Statistics, Series B (1960-2002), Vol. 62, No. 3 (Dec., 2000), pp. 433-447 (15 pages) This paper discusses an econometric technique based on optimal control theory which ...