56 citations · 59 across the 4 of their papers we have counts for
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Look as You Leap: Planning Simultaneous Motion and Perception for High-DOF Robots
Qingxi Meng, Emiliano Flores, Carlos Quintero-Peña +5
Most common tasks for robots in dynamic spaces require that the environment is regularly and actively perceived. The perception task considered in this work can represent a broad r…
Stochastic Implicit Neural Signed Distance Functions for Safe Motion Planning under Sensing Uncertainty
Carlos Quintero-Peña, Wil Thomason, Zachary Kingston +2
Motion planning under sensing uncertainty is critical for robots in unstructured environments to guarantee safety for both the robot and any nearby humans. Most work on planning un…
MotionBenchMaker: A Tool to Generate and Benchmark Motion Planning Datasets
Constantinos Chamzas, Carlos Quintero-Peña, Zachary Kingston +5
Recently, there has been a wealth of development in motion planning for robotic manipulation new motion planners are continuously proposed, each with their own unique strengths and…
Learning Sampling Distributions Using Local 3D Workspace Decompositions for Motion Planning in High Dimensions
Constantinos Chamzas, Zachary Kingston, Carlos Quintero-Peña +2
Earlier work has shown that reusing experience from prior motion planning problems can improve the efficiency of similar, future motion planning queries. However, for robots with m…