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To do so, we propose an approach that allows the group to determine autonomously the most appropriate assignment of positions in the formation. Our approach is ...
Formations are defined as groups of mobile robots establish- ing and maintaining some predetermined geometrical shape by controlling the positions and ...
To do so, we propose an approach that allows the group to determine autonomously the most appropriate assignment of positions in the formation. Our approach is ...
To do so, we propose an approach that allows the group to determine autonomously the most appropriate assignment of positions in the formation. Our approach is ...
Formations are defined as groups of mobile robots:establish- ing and maintaining some predetermined geometrical shape by controlling the positions and ...
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In this paper, a Discrete Particle Swarm Optimization (DPSO) technique is applied as an optimal motion planning strategy for the initialization of mobile robots ...
Apr 2, 2024 · Navigating with formation adaptation is crucial for autonomous robot teams working in challenging environments. It allows a robot team to ...
In this paper, a Discrete Particle Swarm Optimization (DPSO) technique is applied as an optimal motion planning strategy for the initialization of mobile robots ...
Abstract This work presents a path planning algorithm for 3D robot formations based on the standard Fast Marching Square (FM2) path planning method.
We consider the fundamental problem of arranging a set of n autonomous robots (points) on a real plane according to an arbitrary given pattern.
Missing: Initialization | Show results with:Initialization