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Amplify: A Lightweight Library for Reproducible Nonlinear Programming Problems in Robotics
Optimization problems (OPs) are key to solving many challenging research problems in robotics. However, reproducibility still remains a major issue. In this paper, we present Amplify, a lightweight nonlinear programming library aimed at reproducible results of robotic-related trajectory optimization
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