6 citations · 6 across the 2 of their papers we have counts for
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cs.RO2020★ 6 cited
Practical Reinforcement Learning For MPC: Learning from sparse objectives in under an hour on a real robot
Napat Karnchanachari, Miguel I. Valls, David Hoeller +1
Model Predictive Control (MPC) is a powerful control technique that handles constraints, takes the system's dynamics into account, and optimizes for a given cost function. In pract…
cs.RO2020
End-to-End Velocity Estimation For Autonomous Racing
Sirish Srinivasan, Inkyu Sa, Alex Zyner +3
Velocity estimation plays a central role in driverless vehicles, but standard and affordable methods struggle to cope with extreme scenarios like aggressive maneuvers due to the pr…