Multi-Robot Systems From Swarms to Intelligent Automata - Parker et al (Eds) Part 4 ppsx

... computat i ona l an d sens i n gf a b r i co f networ k e d sensors em b e dd e di nto t he 27 L.E. Parker et al. ( eds.) , Multi-Robot Systems. From Swarms to Intelligent Automata. Volume III , 2 7–38.  c 2 00 5 Springer. Printed ... S y stems. From Swarms to Intelli g ent Automata V olume III Prefac e T h eT hi r d Internat i ona l Wor k s h op on Mu l t i -Ro b...

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... computat i ona l an d sens i n gf a b r i co f networ k e d sensors em b e dd e di nto t he 27 L.E. Parker et al. ( eds.) , Multi-Robot Systems. From Swarms to Intelligent Automata. Volume III , 2 7–38.  c 2 00 5 Springer. Printed ... at consider - a ble distances from one another so that the best solution is to dis p atch a robo t team to each desi g nated task area a...

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... approac h to OMRTA re li es o n a computat i ona l an d sens i n gf a b r i co f networ k e d sensors em b e dd e di nto t he 27 L.E. Parker et al. ( eds.) , Multi-Robot Systems. From Swarms to Intelligent ... from the g raph, DINTA performs 9 -2 2 times better on the entir e interval of 3 -2 0 events. Note also that DINTA is stable, as indicated b y erro r S ENSOR...

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... more detail . 53 L .E. Parker et al. ( eds.) , M ulti-Robot S y stems. From Swarms to Intelli g ent Automata. Volume III , 53 – 6 4.  c 2 005 S pringer. Printed in the Netherlands . Multi-Objective ... conver g e to differen t stead y states. In our recent works (Qu et al. , 2004a)(Qu et al. , 2004b), we extend the re - sults in (Jadbabaie et al. , 20 03) (Li...

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... vision (( Guibas et al. , 1999 )) , and limited field-of- v iew vision ((Gerke y et al. , 20 04) ). Randomized pursuit al g orithms have als o been studied, in both discrete g raphs ((Adler et al. , 2003)) ... o f as kill e d eva d er . K e y wor d s: c oor di nat i on, mu l t i -ro b ot s y stems, pursu i t-evas i o n 65 L.E. Parker et al. ( eds.) , M u l ti-Ro b ot S y stems...

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... al. (eds.) , M ulti-Robot Systems. From Swarms to Intelligent Automata. Volume III , 9 3–10 5 .  c 20 05 S pringer. Printed in the Netherlands . 7 6 Gerke y ,etal. F igure 4. (In co l or w h ere ... robots Pa r ish A* ( a ) 10 1 5 2 0 2 5 30 35 4 0 4 5 5 0 3-triangle.3 T 3.3 g ates-simple.2 g ates. 3 s al2 .2 Len g th of path (solution quality) Environment . Number o...

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... o f requ i re d 11 9 L .E. Parker et al. ( eds.) , M ulti-Robot S y stems. From Swarms to Intelli g ent Automata. Volume III , 1 1 9 –130.  c 2 005 S prin g er. Printed in the Netherlands . 104 Roth , et al. commun i cate i n ... o f t h e targets’ pos i t i ons) . D ue to t hi s fi na l constra i nt, we d o not assume we may move t h ero b ots f or t he 1 07 L.E. Parker...

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... t h e i t - ∗ P art i a lf un di n g prov id e dby aFu lb r igh t f e ll ows hi pan dby “Pro g etto G i ovan i R i cercator i ” 1999. † P artial fundin g provided b y NSF under g rants EIA-02243 6 3 and EIA-03248 6 4. 133 L.E. Parker et al. ( eds.) , Multi-Robot S y stems. From Swarms ... buildin g a g lobal map from data col - l ected b y several robots, is usuall y sol...

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... al. ( eds.) , M ulti-Robot Systems. From Swarms to Intelligent Automata. Volume III , 1 4 5 –1 55 .  c 200 5 S pringer. Printed in the Netherlands . 1 4 8 Rekleitis , et al . 2003) i nt h e d oma i ns ... inferred . 1 59 L.E. Parker et al. ( eds.) , M ulti-Robot S y stems. From Swarms to Intelli g ent Automata. Volume III , 1 59 –170.  c 2 005 Sprin g er. Pri...

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... the IJCAI -9 5 Workshop on Entertainment and AI/ALif e . L aValle, S. M. ( 199 8). Rapidly-exploring random trees: A new tool for path planning. I n T ech- n ical Report No. 9 8-1 1 . L aValle, S. ... nee d 171 L .E. Parker et al. ( eds.) , M ulti-Robot S y stems. From Swarms to Intelli g ent Automata. Volume III , 1 71–1 8 2.  c 2 005 S prin g er. Printed in the Netherland...

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... actua l a bil- ∗ Thi swor ki s part i a lly supporte dby NASA g rant NNA04CK90A . 19 7 L.E. Parker et al. ( eds.) , M u l ti-Ro b ot S y stems. From Swarms to Inte ll i g ent Automata. Vo l ume ... upper b oun ds 18 5 L.E. Parker et al. ( eds.) , M u l ti-Ro b ot S y stems. From Swarms to Inte ll i g ent Automata. Vo l ume III , 18 5 –1 95 .  c 2 005 Sprin g er. P...

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... use toda y . Further - 211 L.E. Par k er et a l .(e d s.) , M u l ti-Ro b ot Systems. From Swarms to Inte ll igent Automata. Vo l ume III , 211 – 221.  c 2005 Springer. Printe d in t h e Net h er l an d s . ... the parameters to settle to their final values, but the lo g a - 22 6 C haimowicz , et al . networ k an d ma i nta i n i ng an up d ate dd ata b ase o f o...

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... W o nderin g Boun d a r y r r /O b s tacle_ A v o i d an ce Followin g Le a de r _ Follow In d i v i d u al- L eve l-B e h a v a a io r s In d i v i d u al- L eve l-B e h a v io r s 2 8 2 O’Hara , et al . B atalin, M. and Sukhatme, G. (2003b). Sensor network-based multi-robot task allocation . P r o - c eedings ... (Pa y ne et al. , 2000, Lewis, et al. , 2003, Partsakoulak...

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... t hi s approac h w ill sca l eto s y stems w i t hl ar g e num b ers o f ro b ots. 2 91 L .E. Parker et al. ( eds.) , Multi-Robot S y stems. From Swarms to Intelli g ent Automata. Volume III , 2 9 1–2 9 7.  c 2005 S prin g er. ... a partition func - t i o n Z t hat can be solved usin g a numerical method for pseudo-d y namics sim - u lation (or in trivial cases anal y...

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