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What is Convex Optimization for Trajectory Generation about?

The document discusses the importance of reliable and efficient trajectory generation methods for autonomous vehicles and robots, highlighting the need for onboard decision-making capabilities in various applications, including space missions and urban aerial vehicles. It focuses on three major convex optimization-based trajectory generation methods: lossless convexification (LCvx), successive convexification (SCvx), and guaranteed sequential trajectory optimization (GuSTO), which aim to solve nonconvex tra

Author

tye46

Language

EN