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Shape from Shading for Robotic Manipulation
Controlling illumination can generate high quality information about object surface normals and depth discontinuities at a low computational cost.
Deep Kernels for Optimizing Locomotion Controllers
First, we demonstrate improvement in sample efficiency when optimizing a 5-dimensional controller on the ATRIAS robot hardware.
Sample Efficient Optimization for Learning Controllers for Bipedal Locomotion
We develop a distance metric for bipedal locomotion that enhances the sample-efficiency of Bayesian Optimization and use it to train a 16 dimensional neuromuscular model for planar walking.
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