A low-cost motion capture system combined with Bayesian inference estimates robot joint zero-offsets nearly as accurately as a laser tracker, improving positioning accuracy about four-fold.
Dex-net 1.0: A cloud-based network of 3d objects for robust grasp planning using a multi-armed bandit model with correlated rewards,
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Efficiently Improving and Quantifying Robot Accuracy In Situ
A low-cost motion capture system combined with Bayesian inference estimates robot joint zero-offsets nearly as accurately as a laser tracker, improving positioning accuracy about four-fold.