首页|Waseda University Researcher Releases New Data on Robotics (Fair Path Generation for Multiple Agents Using Ant Colony Optimization in Consecutive Pattern Formations)
Waseda University Researcher Releases New Data on Robotics (Fair Path Generation for Multiple Agents Using Ant Colony Optimization in Consecutive Pattern Formations)
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NETL
NSTL
Fuji Technology Press Ltd
New study results on robotics have been published. According to news reporting originating from Tokyo, Japan, by NewsRx correspondents, research stated, “This study proposes a method to automatically generate paths for multiple autonomous agents to collectively form a sequence of consecutive patterns.” Financial supporters for this research include Japan Society For The Promotion of Science. Our news reporters obtained a quote from the research from Waseda University: “Several studies have considered minimizing the total travel distances of all agents for formation transitions in applications with multiple self-driving robots, such as unmanned aerial vehicle shows by drones or group actions in which self-propelled robots synchronously move together, consecutively transforming the patterns without collisions. However, few studies consider fairness in travel distance between agents, which can lead to battery exhaustion for certain agents and thereafter reduced operating time. Furthermore, because these group actions are usually performed with a large number of agents, they can have only small batteries to reduce cost and weight, but their performance time depends on the battery duration.”
NETL
NSTL
Fuji Technology Press Ltd
