A robot navigation controller optimization problem using a genetic algorithm-based approach.
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Updated
May 10, 2022 - Python
A robot navigation controller optimization problem using a genetic algorithm-based approach.
Exploring a maze by constructing an obstacle map
Behavior-Based Robot Control
Supervisor for controlling data flow in the BenchBot software stack: https://github.com/qcr/benchbot
pyQpController is the proof of concept simulator attached to the paper: Impact-Friendly Robust Control Design with Task-Space Quadratic Optimization. Examples are provided to brew your own multi-objective robot controllers in python.
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