Fabian Canas

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Vitamin D3 administration to vitamin D-deficient chicks produces, 24 hours after treatment, a large increment of phospholipids in mitochondria from intestinal mucosa. Proportion of the different phospholipid classes and fatty acid composition of the organelles were not modified by that treatment. A time course study of the effects of 1,25(OH)2D3 on calcium(More)
— We present a method for learning Capture Points for humanoid push recovery. A Capture Point is a point on the ground to which the biped can step and stop without requiring another step. Being able to predict the location of such points is very useful for recovery from significant disturbances, such as after being pushed. While dynamic models can be used(More)
Tumor Necrosis Factor-alpha (TNF-α) is an immunomodulatory and proinflammatory cytokine implicated in neuro-inflammation and neuronal damage in response to cerebral ischemia. The present study tested the hypothesis that anti-TNF-α agents may be protective against cerebral infarction. Transient focal ischemia was artificially induced in anesthetized adult(More)
Researchers at IHMC and Honda Research Institute are developing techniques for learning capture points for bipedal push recovery. A capture point is a point on the ground where a biped can step to in order to stop. Humans are very adept at stepping to capture points, while most bipedal robots cannot recover from significant pushes. To calculate approximate(More)
Reinforcement learning (RL) shows great promise as a model of learning in complex, dynamic tasks, for both humans and artificial systems. However, the effectiveness of RL models depends strongly on the choice of state representation, because this determines how knowledge is generalized among states. We introduce a framework for integrating psychological(More)
This video highlights work to date on the Yobotics-IHMC Lower Body Humanoid Robot. The robot is a twelve degree-of-freedom robot with force controllable Series Elastic Actuators at each degree of freedom. Control algorithms utilize Virtual Model Control, and foot placement is determined using Capture Regions. The robot can recover from moderate disturbances(More)
Reinforcement learning (RL) shows great promise as a theory of learning in complex, dynamic tasks. However, the learning performance of RL models depends strongly on how stimuli are represented, because this determines how knowledge is generalized among stimuli. We propose a mechanism by which RL autonomously constructs representations that suit its needs,(More)
Learning new concepts is critical to making sense of the world. Research on analogical reasoning suggests structure mapping and schema induction can enable discovery of new relational concepts. However, existing theories of schema induction and refinement are insufficient to explain acquisition of rich, compositional hierarchies of relational concepts. This(More)