Optimal Motion Planning
1 papers with code • 0 benchmarks • 0 datasets
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Most implemented papers
Neural Contraction Metrics for Robust Estimation and Control: A Convex Optimization Approach
This paper presents a new deep learning-based framework for robust nonlinear estimation and control using the concept of a Neural Contraction Metric (NCM).