Practical Context: Cyan dots: sampled safe set Green dots: data used to do system identification (local least mean square) Black Link to previous video: Additional results at a higher target speed of 11 m/s (compared to 9 m/s for ...

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Link to addendum: Results on the AutoRally platform when varying the number of sampled rollouts ... Link to previous video: Additional results at a higher target speed of 11 m/s (compared to 9 m/s for ... Cyan dots: sampled safe set Green dots: data used to do system identification (local least mean square) Black

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  • Link to previous video: Additional results at a higher target speed of 11 m/s (compared to 9 m/s for ...
  • Cyan dots: sampled safe set Green dots: data used to do system identification (local least mean square) Black
  • Link to addendum: Results on the AutoRally platform when varying the number of sampled rollouts ...

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Check Follow-Up Notes
Learning-based Model Predictive Control for Autonomous Racing

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[ICRA21 Autonomous Racing] - Ugo Rosolia (Caltech) - Learning to race using a predictive control

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Link to previous video: Additional results at a higher target speed of 11 m/s (compared to 9 m/s for ...

Simulation: Learning Model Predictive Control for Autonomous Racing

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Cyan dots: sampled safe set Green dots: data used to do system identification (local least mean square) Black