Krishna Muvva’s Post

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Aerial Robotics & Deep Learning | Ph.D. Candidate (CS) & Masters Student (BSE) at UNL | IEEE NE CS Chair | Remote Pilot | Toastmaster

"What I cannot create, I do not understand." – Richard Feynman Inspired by this quote, I set out to implement MPC from scratch to gain a deeper understanding of how it balances reaching the goal vs energy efficiency. And as well as how the horizon period helps in achieving optimality.  This is my MPC in action on one of our UAVs. #MAARSLab, where applied robotics research happens!

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