Improved Approximation Algorithms for Shop Scheduling Problems
SIAM Journal on Computing
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Coordinating Multiple Robots with Kinodynamic Constraints Along Specified Paths
International Journal of Robotics Research
Planning Algorithms
Motion planning using adaptive random walks
IEEE Transactions on Robotics
Fusion of probabilistic A* algorithm and fuzzy inference system for robotic path planning
Artificial Intelligence Review
Evolving robotic path with genetically optimised fuzzy planner
International Journal of Computational Vision and Robotics
Multi-robot path planning using co-evolutionary genetic programming
Expert Systems with Applications: An International Journal
Robotic clusters: Multi-robot systems as computer clusters
Robotics and Autonomous Systems
Hi-index | 0.00 |
Coordinating the path of multiple robots along assigned paths is a computationally hard problem with great potential for applications. We here provide a detailed experimental study of a randomized algorithm for scheduling priorities that we have developed, and also compare it with exact and approximated solutions. It turns out that for problems of reasonable size our algorithm exhibits an appealing compromise between speed and quality.