ys when planning meant searching for a sequence of abstract actions that satisfied some symbolic predicate. Robots can now learn their own representations through statistical infe...
— We present a new motion planning framework that explicitly considers uncertainty in robot motion to maximize the probability of avoiding collisions and successfully reaching a ...
The CORIE forecast factory consists of a set of data product generation runs that are executed daily on dedicated local resources. The goal is to maximize productivity and resourc...
— The configuration space of a robot is partitioned into free space and C-obstacle space. Most of the prior work in collision detection and motion planning algorithms is targete...
Liangjun Zhang, Young J. Kim, Gokul Varadhan, Dine...
We present a new planning algorithm that formulates the planning problem as a counting satisfiability problem in which the number of available solutions guides the planner determ...