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Learning-Aided Warmstart of Model Predictive Control in Uncertain Fast-Changing Traffic
Model Predictive Control lacks the ability to escape local minima in nonconvex problems.
Industrial Application of 6D Pose Estimation for Robotic Manipulation in Automotive Internal Logistics
A key component to competitively automate these processes is a 6D pose estimation that can handle a large number of different parts, is adaptable to new parts with little manual effort, and is sufficiently accurate and robust with respect to industry requirements.
An Empirical Bayes Analysis of Object Trajectory Representation Models
This suggests the feasibility of using linear trajectory models in future motion prediction systems with inherent mathematical advantages.
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