News Column

Studies from University of Seville Have Provided New Information about Robotics

February 10, 2014



By a News Reporter-Staff News Editor at Robotics & Machine Learning -- Current study results on Robotics have been published. According to news reporting originating from Seville, Spain, by VerticalNews correspondents, research stated, "This paper presents a new system for assembly and structure construction with multiple Unmanned Aerial Vehicles (UAVs) which automatically identifies conflicts among them. The system proposes the most effective solution considering the available computation time."

Our news editors obtained a quote from the research from the University of Seville, "After detecting conflicts between UAVs, the system resolves them cooperatively using a collision-free 4D trajectory planning algorithm based on a simple one-at-a-time strategy to quickly compute a feasible but non-optimal initial solution and a stochastic optimization technique named Particle Swarm Optimization (PSO) to improve the initial solution. An anytime approach using PSO is applied. It yields trajectories whose quality improves when available computation time increases. Thus, the method could be applied in real-time depending on the available computation time."

According to the news editors, the research concluded: "The method has been validated with simulations in scenarios with multiple UAVs in a common workspace and experiment in an indoor testbed."

For more information on this research see: Collision-Free 4D Trajectory Planning in Unmanned Aerial Vehicles for Assembly and Structure Construction. Journal of Intelligent & Robotic Systems, 2014;73(1-4):783-795. Journal of Intelligent & Robotic Systems can be contacted at: Springer, Van Godewijckstraat 30, 3311 Gz Dordrecht, Netherlands. (Springer - www.springer.com; Journal of Intelligent & Robotic Systems - www.springerlink.com/content/0921-0296/)

The news editors report that additional information may be obtained by contacting D. Alejo, Univ Seville, Robot Vis & Control Grp, Sch Engn, Seville 41092, Spain. Additional authors for this research include J.A. Cobano, G. Heredia and A. Ollero.

Keywords for this news article include: Spain, Europe, Seville, Robotics

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Source: Robotics & Machine Learning


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