This paper studies the multi-robot task assignment problem in which a fleet of dispersed robots needs to efficiently transport a set of dynamically appearing packages from their initial …
Multi-agent pathfinding (MAPF) has applications in navigation, robotics, games and planning. Most work on search-based optimal algorithms for MAPF has focused on simple …
Multi-agent pathfinding (MAPF) is a problem that involves finding a set of non-conflicting paths for a set of agents confined to a graph. In this work, we study a MAPF setting, where …
The Multi-Agent Path Finding (MAPF) problem, ie, the scheduling of multiple agents to reach their destinations, has been widely investigated. Testing MAPF systems is challenging, due …
C Liu, H Li, Y Tang, D Lin, J Liu - International Journal of Computer …, 2019 - Taylor & Francis
ABSTRACT In this study, Big Data Analytics has been applied to implement smart manufacturing services performed by local commercial laundry Small and Medium Sized …
We focus on the Multi-Robot pickup and delivery problem for logistic scenarios that recently received significant attention from the research community. In particular we consider an …
This work investigates on the coordinated locomotion between a ceiling-mounted serial manipulator and two SwarmItFIX robots. The former holds the machining tool as an end …
The main idea of conflict-based search (CBS), a popular, state-of-the-art algorithm for multi- agent pathfinding is to resolve conflicts between agents by systematically adding constraints …
The multi-agent path finding (MAPF) problem is a combinatorial search problem that aims at finding paths for multiple agents such that no two agents collide with each other. We study a …