کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
382117 660737 2015 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Line formation algorithm in a swarm of reactive robots constrained by underwater environment
ترجمه فارسی عنوان
الگوریتم تشکیل خط در یک روبات ربات واکنشی محدود شده توسط محیط زیر آب
کلمات کلیدی
وسایل نقلیه زیر آب، ربات رام، شکل گیری الگو، تعاملات محلی، رفتار خشونت آمیز
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی


• Underwater exploration is usually done with a single SONAR wired robot.
• We demonstrate that we can replace it by a swarm of small autonomous UUV’s.
• The goal of the main algorithm is to form a line of robot in the swarm.
• There is no communication between robots, they are fully autonomous.
• The line formation algorithm is robust and resists to various perturbations.

Underwater area exploration has always been a very important mission raised initially by military applications (e.g. mine detection) but more and more often by civil applications. To successfully conduct this exploration on large scale area, autonomous vehicle are envisaged in a near future. Existing approaches rely on a single large drone that covers mission area with a lawnmower trajectory, but a swarm of small robots may be more efficient, using a comb of paths. Unfortunately, existing swarm approaches are not well suited for an underwater environment, where communication and positioning are not efficient. This led us to propose a new algorithm that can arrange a swarm of robots in a line shape. The algorithm does not require a good communication channel and the line formation emerge from local behavior depending on an imprecise global positioning and a precise local positioning. We perform realistic simulations to test and characterize our line formation algorithm. Our work shows that the line formation algorithm is robust to perturbations and permits to envisage swarm approaches for underwater exploration as a low-cost alternative to single-drones systems.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 42, Issue 12, 15 July 2015, Pages 5117–5127
نویسندگان
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