33 citations · 152 across the 27 of their papers we have counts for
3 papers · 1 filter
Guiding the search in continuous state-action spaces by learning an action sampling distribution from off-target samples
Beomjoon Kim, Leslie Pack Kaelbling, Tomas Lozano-Perez
In robotics, it is essential to be able to plan efficiently in high-dimensional continuous state-action spaces for long horizons. For such complex planning problems, unguided unifo…
Provably Safe Robot Navigation with Obstacle Uncertainty
Brian Axelrod, Leslie Pack Kaelbling, Tomás Lozano-Pérez
As drones and autonomous cars become more widespread it is becoming increasingly important that robots can operate safely under realistic conditions. The noisy information fed into…
STRIPS Planning in Infinite Domains
Caelan Reed Garrett, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Many robotic planning applications involve continuous actions with highly non-linear constraints, which cannot be modeled using modern planners that construct a propositional repre…