Title | ||
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Annealing-Based Guidance Of A Rescue Robot For Rescue Mission With Multi-Goal Navigation |
Abstract | ||
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Mission of a rescue robot is to search for some certain points and find trapped people or valuables to be rescued in an unknown terrain. A rescue robot should be able to be navigated to multiple goals. In this paper, a multi-goal navigation and mapping solution is found by simulated annealing (SA) based multi-goal navigation integrated a local navigator. The robot is guided by SA-based multi-goal route planner to search for multiple goals. Among goals, the robot is navigated by point-to-point global path planner and sensor-based local navigator while a local map is constructed gradually by exploring the unknown terrain. The simulation studies demonstrate the proposed integrated methodology is efficient, effective, and robust. |
Year | DOI | Venue |
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2015 | 10.1109/ICInfA.2015.7279406 | 2015 IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION |
Keywords | Field | DocType |
Simulated annealing, multi-goal navigation, sensor-based navigator, mapping, global path planner | Simulated annealing,Robot control,Computer vision,Computer science,Rescue robot,Terrain,Robot kinematics,Planner,Artificial intelligence,Mobile robot navigation,Robot | Conference |
Citations | PageRank | References |
0 | 0.34 | 9 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Chaomin Luo | 1 | 186 | 19.40 |
Shen Furao | 2 | 515 | 43.27 |
Simon X. Yang | 3 | 1029 | 124.34 |
MO Hong-wei | 4 | 54 | 11.83 |