This paper reviews the literature related to multi-robot research with a focus on space
applications. It starts by examining definitions of, and some of the fields of research, in multi …

We propose a representation and a planning algorithm able to deal with problems
integrating task planning as well as motion and manipulation planning knowledge involving …

Motion planning for multiple mobile robots must ensure the optimality of the path of each and
every robot, as well as overall path optimality, which requires cooperation amongst robots …

A new motion planning framework is presented that enables multiple mobile robots with
limited ranges of sensing and communication to maneuver and achieve goals safely in …

C-FOREST is a parallelization framework for single-query sampling-based shortest path-
planning algorithms. Multiple search trees are grown in parallel (eg, 1 per CPU). Each time a …

The planning of semi-autonomous vehicles in traffic scenarios is a relatively new problem
that contributes towards the goal of making road travel by vehicles free of human drivers. An …

The construction of future space structures in Earth orbit such as solar power stations and
space telescopes will require coordinated teams of autonomous space robots. These robot …

In a recent study, it was shown that high failure rates in decoupled multi-robot motion
planning makes the decoupled planning approach an unsuitable choice, in comparison to …

This paper provides an alternative approach to the co-operative multi-robot path planning
problem using parallel differential evolution algorithms. Both centralized and distributed …

This paper presents a Probabilistic Road Map (PRM) motion planning algorithm to be
queried within Dynamic Robot Networks—a multi-robot coordination platform for robots …