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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 problems. The minimalistic requirements for the 537-line library (80 characters per line) are an Internet connection, familiarity with the AMPL modeling language, and a text editor. Our primary contribution is the formulation of a library where trajectory optimization algorithms are represented dir
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-23T16:53:15.000Z
First collected: 2026-09-24T08:22:30.429Z. This is not the publication date.