Analisis Perbandingan Algoritma Perencanaan Jalur Robot Bergerak Pada Lingkungan Dinamis
Development of technology and complexity of an environment (dynamic environtment), the use of algorithms in path planning becomes an important thing to do, problem to be solved by the path planning is safe patch (collision-free), second is the distance traveled, ie, the path length is generated from...
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| Format: | EJournal Article |
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IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.,
2017-01-31.
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| Online Access: | Get Fulltext Get Fulltext |
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| LEADER | 02676 am a22003013u 4500 | ||
|---|---|---|---|
| 001 | IJCSS_15743 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Suhendra, Tonny |e author |
| 100 | 1 | 0 | |e contributor |
| 700 | 1 | 0 | |a Priyambodo, Tri Kuntoro |e author |
| 245 | 0 | 0 | |a Analisis Perbandingan Algoritma Perencanaan Jalur Robot Bergerak Pada Lingkungan Dinamis |
| 260 | |b IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia., |c 2017-01-31. | ||
| 500 | |a https://jurnal.ugm.ac.id/ijccs/article/view/15743 | ||
| 520 | |a Development of technology and complexity of an environment (dynamic environtment), the use of algorithms in path planning becomes an important thing to do, problem to be solved by the path planning is safe patch (collision-free), second is the distance traveled, ie, the path length is generated from the robot start position to the current target position and the thirdtravel time, ie, the timerequired by the robot to reached its destination.this research uses ACO algorithm and A-star Algorithm to determine the influence of obstacles (simple environment) and also differences in the pattern of the target motion (linier and sinusoidal)on the ability of the algorithm in pathplanning for finding the shortest path. The test results show that for a simple environtment where the state of target and obstacles still static,the resukt that A-star algorithm is betterthan ACO algorithm both in terms of travel time and travel distance. Testing with no obstacles, seen from the distance travelled differences obtained of 0,57%, whereas for testing with obstacles difference of 9%. Testing in a complex environtment where the targets and obstacles which movesdinamically with a certain pattern, from the three environmental conditions that has been tested, ACO algorithm is better than A-star algorithm where the ACO algorithm can find a path with optimal distance or the sortest distance. | ||
| 540 | |a Copyright (c) 2017 IJCCS - Indonesian Journal of Computing and Cybernetics Systems | ||
| 540 | |a http://creativecommons.org/licenses/by-sa/4.0 | ||
| 546 | |a eng | ||
| 690 | |||
| 690 | |a path planning, mobile robot, ACO algorithm, A-star Algorithm | ||
| 655 | 7 | |a info:eu-repo/semantics/article |2 local | |
| 655 | 7 | |a info:eu-repo/semantics/publishedVersion |2 local | |
| 655 | 7 | |2 local | |
| 786 | 0 | |n IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 11, No 1 (2017): January; 21-30 | |
| 786 | 0 | |n 2460-7258 | |
| 786 | 0 | |n 1978-1520 | |
| 787 | 0 | |n https://jurnal.ugm.ac.id/ijccs/article/view/15743/11719 | |
| 856 | 4 | 1 | |u https://jurnal.ugm.ac.id/ijccs/article/view/15743 |z Get Fulltext |
| 856 | 4 | 1 | |u https://jurnal.ugm.ac.id/ijccs/article/view/15743/11719 |z Get Fulltext |