2023 IEEE International Conference on Robotics and Automation (ICRA) 2023
DOI: 10.1109/icra48891.2023.10160672
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Robust Locomotion on Legged Robots through Planning on Motion Primitive Graphs

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Cited by 10 publications
(1 citation statement)
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“…The success and the efficiency of the classical approach lie in the capabilities of the motion planner to generate a desired trajectory that is compatible with the whole body instantaneous controller. It can be done for instance by using a hybrid control approach and planning over a graph of motion primitives for quadrupeds [11]. It can also be done using A* through a discrete set of actions predefined according to the targeted tasks, see [12] for a locomotion example.…”
Section: A Context Presentationmentioning
confidence: 99%
“…The success and the efficiency of the classical approach lie in the capabilities of the motion planner to generate a desired trajectory that is compatible with the whole body instantaneous controller. It can be done for instance by using a hybrid control approach and planning over a graph of motion primitives for quadrupeds [11]. It can also be done using A* through a discrete set of actions predefined according to the targeted tasks, see [12] for a locomotion example.…”
Section: A Context Presentationmentioning
confidence: 99%