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

collaborators

49 papers

cs.RO2023★ 3 cited

Coordination of Multiple Robots along Given Paths with Bounded Junction Complexity

Mikkel Abrahamsen, Tzvika Geft, Dan Halperin +1

We study a fundamental NP-hard motion coordination problem for multi-robot/multi-agent systems: We are given a graph and set of agents, where each agent has a given directed pa…

cs.RO2022

Multi-Robot Motion Planning for Unit Discs with Revolving Areas

Pankaj K. Agarwal, Tzvika Geft, Dan Halperin +1

We study the problem of motion planning for a collection of labeled unit disc robots in a polygonal environment. We assume that the robots have revolving areas around their sta…

cs.CG2022

Localization with Single or Antipodal Distance Measurements

Barak Ugav, Steven M. LaValle, Dan Halperin

Given a polygonal workspace , a depth sensor placed at point inside and oriented in direction measures the distance between and the closest po…

cs.CG2022

Unlabeled Multi-Robot Motion Planning with Tighter Separation Bounds

Bahareh Banyassady, Mark de Berg, Karl Bringmann +6

We consider the unlabeled motion-planning problem of unit-disc robots moving in a simple polygonal workspace of edges. The goal is to find a motion plan that moves the robo…

cs.MA2022★ 5 cited

Refined Hardness of Distance-Optimal Multi-Agent Path Finding

Tzvika Geft, Dan Halperin

We study the computational complexity of multi-agent path finding (MAPF). Given a graph and a set of agents, each having a start and target vertex, the goal is to find collisio…

cs.CG2022

CGAL Made More Accessible

Nir Goren, Efi Fogel, Dan Halperin

We introduce bindings that enable the convenient, efficient, and reliable use of software modules of CGAL (Computational Geometry Algorithm Library), which are written in C++, from…