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This repository will contain the code used for the IEEE RA-L + ICRA 2021 publication: "Where to go next: Learning a Subgoal Recommendation Policy for Navigation Among Pedestrians"

License: GNU General Public License v3.0

Shell 0.35% Python 95.88% MATLAB 3.77%

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go-mpc's Issues

no code

hi, i have not found any code for paper, is that open?

Avoid unnessecary printouts

By default, I would remove the printouts of the MPC solver.
This could be changed by modifying the print flag in the solver generation from 1 to 0 in scenario.m.

Just a suggestion, because the printouts are quite annoying.

Setting the baseline

Hello, go-mpc team!
I am trying to set up algorithms that you have mentioned in your article as a baseline for the research.
However, I have found some differences with your code. Could you please justify what is sv control input you are using for regular MPC?

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