6 citations · 16 across the 4 of their papers we have counts for
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cs.RO2017
Group Marching Tree: Sampling-Based Approximately Optimal Motion Planning on GPUs
Brian Ichter, Edward Schmerling, Marco Pavone
This paper presents a novel approach, named the Group Marching Tree (GMT*) algorithm, to planning on GPUs at rates amenable to application within control loops, allowing planning i…
cs.RO2017
Perception-Aware Motion Planning via Multiobjective Search on GPUs
Brian Ichter, Benoit Landry, Edward Schmerling +1
In this paper we describe a framework towards computing well-localized, robust motion plans through the perception-aware motion planning problem, whereby we seek a low-cost motion…