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Emmanuel Antonio Cuevas

1 accepted papers

2022

On the Efficiency of the SST Planner to Find Time Optimal Trajectories Among Obstacles With a DDR Under Second Order Dynamics

RA-L 2022

In this work, we study a sampling based motion planner able to deal with a kinodynamic problem. We want to move a robot from an initial state to a final one, along the minimum cost trajectory in an environment with obstacles. In particular, we study the effect of using extremal controls as the input

Cited by 3SourceScholar