Search Results for author: Jesse Quattrociocchi

Found 1 papers, 0 papers with code

Safely: Safe Stochastic Motion Planning Under Constrained Sensing via Duality

no code implementations5 Mar 2022 Michael Hibbard, Abraham P. Vinod, Jesse Quattrociocchi, Ufuk Topcu

We introduce the Safely motion planner, a receding-horizon control framework, that simultaneously synthesizes both a trajectory for the robot to follow as well as a sensor selection strategy that prescribes trajectory-relevant obstacles to measure at each time step while respecting the sensing constraints of the robot.

Motion Planning

Cannot find the paper you are looking for? You can Submit a new open access paper.