activity
20092023
most citeddRRT*: Scalable and Informed Asymptotically-Optimal Multi-Robot Motion Planning

93 citations · 292 across the 46 of their papers we have counts for

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Showing 2014Show all

5 papers · 1 filter

cs.CG2014

Optimal randomized incremental construction for guaranteed logarithmic planar point location

Michael Hemmer, Michal Kleinbort, Dan Halperin

Given a planar map of segments in which we wish to efficiently locate points, we present the first randomized incremental construction of the well-known trapezoidal-map search-…

cs.RO2014

Efficient high-quality motion planning by fast all-pairs r-nearest-neighbors

Michal Kleinbort, Oren Salzman, Dan Halperin

Sampling-based motion-planning algorithms typically rely on nearest-neighbor (NN) queries when constructing a roadmap. Recent results suggest that in various settings NN queries ma…

cs.RO2014★ 14 cited

On the hardness of unlabeled multi-robot motion planning

Kiril Solovey, Dan Halperin

In unlabeled multi-robot motion planning several interchangeable robots operate in a common workspace. The goal is to move the robots to a set of target positions such that each po…

cs.CG2014★ 1 cited

The Offset Filtration of Convex Objects

Dan Halperin, Michael Kerber, Doron Shaharabani

We consider offsets of a union of convex objects. We aim for a filtration, a sequence of nested cell complexes, that captures the topological evolution of the offsets for increasin…

cs.RO2014★ 2 cited

Asymptotically-Optimal Motion Planning using Lower Bounds on Cost

Oren Salzman, Dan Halperin

Many path-finding algorithms on graphs such as A* are sped up by using a heuristic function that gives lower bounds on the cost to reach the goal. Aiming to apply similar technique…