Swarm intelligence theory is proposed for motion planning of multi-robot systems. Multiple particles start from different points in the solutions space and interact to each other while moving towards the goal position. Swarm intelligence theory is a derivative-free approach to the problem of multi-robotcooperation which works by searching iteratively in regions defined by each robot's best previous move and the best previous move of its neighbors. The method's performance is evaluated through simulation tests
Swarm behavior is a relatively new technique in Artificial Intelligence with a wide variety of appli...
The primary contribution of this dissertation is the presentation of a dynamic game-theoretic framew...
Minchev Z, Manolov O, Noykov S, Witkowski U, Rückert U. Fuzzy Logic Based Intelligent Motion Control...
Groups of robots can solve problems in fundamentally different ways than individuals while achieving...
Swarm robotics is a novel approach to the coordination of large numbers of robots and has emerged as...
This paper presents a new approach to control robots, which can quickly find their swarm while track...
Abstract: This work gives an overview of the broad fiel of computational swarm intelligence and its ...
Abstract: The swarm robotics inspired from nature is a combination of swarm intelligence and robotic...
Abstract: Swarm intelligence was originally inspired in social behaviour in nature, also considering...
A swarm robot is a collection of large numbers of simple robots used to perform complex tasks that a...
The cooperation and coordination in multi-robot systems is a popular topic in the field of robotics ...
A multi-robot system is a system containing multiple robots which are moving around a given environm...
none3noIn this paper, a novel strategy is presented aiming at controlling a group of mobile robots f...
Systems of distributed artificial intelligence can be powerful tools in a wide variety of practical ...
The advancements of Multiple Robot Systems (MRS) have shown advantages over single robot systems. Ge...
Swarm behavior is a relatively new technique in Artificial Intelligence with a wide variety of appli...
The primary contribution of this dissertation is the presentation of a dynamic game-theoretic framew...
Minchev Z, Manolov O, Noykov S, Witkowski U, Rückert U. Fuzzy Logic Based Intelligent Motion Control...
Groups of robots can solve problems in fundamentally different ways than individuals while achieving...
Swarm robotics is a novel approach to the coordination of large numbers of robots and has emerged as...
This paper presents a new approach to control robots, which can quickly find their swarm while track...
Abstract: This work gives an overview of the broad fiel of computational swarm intelligence and its ...
Abstract: The swarm robotics inspired from nature is a combination of swarm intelligence and robotic...
Abstract: Swarm intelligence was originally inspired in social behaviour in nature, also considering...
A swarm robot is a collection of large numbers of simple robots used to perform complex tasks that a...
The cooperation and coordination in multi-robot systems is a popular topic in the field of robotics ...
A multi-robot system is a system containing multiple robots which are moving around a given environm...
none3noIn this paper, a novel strategy is presented aiming at controlling a group of mobile robots f...
Systems of distributed artificial intelligence can be powerful tools in a wide variety of practical ...
The advancements of Multiple Robot Systems (MRS) have shown advantages over single robot systems. Ge...
Swarm behavior is a relatively new technique in Artificial Intelligence with a wide variety of appli...
The primary contribution of this dissertation is the presentation of a dynamic game-theoretic framew...
Minchev Z, Manolov O, Noykov S, Witkowski U, Rückert U. Fuzzy Logic Based Intelligent Motion Control...