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Optimal control of a differential drive robot using direct collocation and MPC

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Differential Drive Control

This repository contains code for control and simulation of a two-wheeled differential drive robot. Specifically, the aim is to drive the robot along a desired path in a minimal amount of time while staying near the path. Two control methods were implemented:

  • Direct Collocation for simple trajectory optimization
  • Model Predictive Control (MPC) for full feedback control

Full details and results can be found in our report. This project was completed as part of the course ROB 498: Applied Optimal Control at the University of Michigan.

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Optimal control of a differential drive robot using direct collocation and MPC

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