2022
Reshaping Local Path Planner
RA-L 2022
This letter proposes a path planner that reshapes a global path locally in response to sensor-based observations of obstacles in the environment. Two fundamental concepts enable the resultant algorithm (a) a path-following <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://ww