Jun 20, 2018 · Inspired by human sensorimotor findings, in this paper, we study the stochastic optimal control problem with high-order cost statistics in order ...
MEDINA AND HIRCHE: CONSIDERING UNCERTAINTY IN OPTIMAL ROBOT CONTROL THROUGH HIGH-ORDER COST STATISTICS. 3 of (1). Consider as example an n-link rigid ...
Inspired by human sensorimotor findings, in this paper, we study the stochastic optimal control problem with high-order cost statistics in order to synthesize ...
Abstract. As the application of probabilistic models in robotic applications increases, a systematic robot control approach considering the effects of ...
Abstract—As the application of probabilistic models in robotic applications increases, a systematic robot control approach consid-.
Inspired by human sensorimotor findings, in this paper, we study the stochastic optimal control problem with high-order cost statistics in order to synthesize ...
Motivated by human sensorimotor findings, in this work we study the stochastic locally optimal feedback control problem with high-order cost statistics where ...
Bibliographic details on Uncertainty-dependent optimal control for robot control considering high-order cost statistics.
As the application of probabilistic models in robotic applications increases, a systematic robot control approach considering the effects of uncertainty becomes ...
This code implements a solver for stochastic optimal control problems with high-order cost statistics in order to synthesize uncertainty-dependent actions in ...
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