51 citations · 196 across the 44 of their papers we have counts for
3 papers · 2 filters
An Asymptotically-Optimal Sampling-Based Algorithm for Bi-directional Motion Planning
Joseph A. Starek, Javier V. Gomez, Edward Schmerling +3
Bi-directional search is a widely used strategy to increase the success and convergence rates of sampling-based motion planning algorithms. Yet, few results are available that merg…
A Convex Optimization Approach to Smooth Trajectories for Motion Planning with Car-Like Robots
Zhijie Zhu, Edward Schmerling, Marco Pavone
In the recent past, several sampling-based algorithms have been proposed to compute trajectories that are collision-free and dynamically-feasible. However, the outputs of such algo…
Monte Carlo Motion Planning for Robot Trajectory Optimization Under Uncertainty
Lucas Janson, Edward Schmerling, Marco Pavone
This article presents a novel approach, named MCMP (Monte Carlo Motion Planning), to the problem of motion planning under uncertainty, i.e., to the problem of computing a low-cost…