49th IEEE Conference on Decision and Control (CDC) 2010
DOI: 10.1109/cdc.2010.5717088
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Completely decentralised navigation of multiple unicycle agents with prioritisation and fault tolerance

Abstract: We propose an algorithm for decentralised navigation of multiple independent agents, applicable to Robotics and Air Traffic Control (ATC). We present completely decentralised Navigation Functions that are used to build potential fields and consequently feedback control laws. Our approach employs local sensing, limited by a maximum sensing range and integrates priorities in the Navigation Function (NF) construction. Static and moving obstacles are taken into account, as well as agents that are unable to maneuve… Show more

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Cited by 24 publications
(10 citation statements)
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References 14 publications
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“…E-mail: jfilippidis@gmail.com, kkyria@mail.ntua.gr limited sensing range, non-holonomic systems [12] using dipolar NFs, incorporating prioritization [13] and multi-agent connectivity constraints [14], to partially known worlds by applying belt zones [15] and to unknown sphere worlds [16], as well as convex worlds using local diffeomorphisms [17]. Nonetheless, all of them involved either sphere worlds or diffeomorphisms, hence also simply connected obstacles.…”
Section: Introductionmentioning
confidence: 99%
“…E-mail: jfilippidis@gmail.com, kkyria@mail.ntua.gr limited sensing range, non-holonomic systems [12] using dipolar NFs, incorporating prioritization [13] and multi-agent connectivity constraints [14], to partially known worlds by applying belt zones [15] and to unknown sphere worlds [16], as well as convex worlds using local diffeomorphisms [17]. Nonetheless, all of them involved either sphere worlds or diffeomorphisms, hence also simply connected obstacles.…”
Section: Introductionmentioning
confidence: 99%
“…This requirement is relaxed in [3], [4] by defining polynomial NFs and in [5] by implementing C 2 switches for multi-agent systems with finite sensing radii.…”
Section: Introductionmentioning
confidence: 99%
“…al, 2008;Vidal et. al, 2004), virtual structures (Ren and Beard, 2004;Wang and Schuab, 2011), behavioral based (Balch and Arkin., 1998), artificial potential function (Roussos and Kyriakopoulos, 2010;Gerdes and Rossetter, 2001), consensus algorithm (Olfati-Saber et. Al, 2004;Olfati-Saber et.…”
Section: Introductionmentioning
confidence: 99%