Abstract | ||
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In this paper, a generic approach for the integration of vehicle routing and scheduling and motion planning for a group of autonomous guided vehicles (AGVs) is proposed. The AGVs are requested to serve all the work stations in a two-dimensional environment while taking into account kinematics constraints and the environment's geometry during their motion. The problem objective is the simultaneous determination of time-optimum and collision-free paths for all AGVs. The proposed method is investigated and discussed through a number of simulated experiments using a variety of environments and different initial conditions. |
Year | DOI | Venue |
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2011 | 10.1016/j.robot.2010.10.003 | Robotics and Autonomous Systems |
Keywords | Field | DocType |
Task scheduling,Path planning,Kinematics constraints,Autonomous guided vehicles,Obstacle avoidance | Obstacle avoidance,Motion planning,Vehicle routing problem,Kinematics,Scheduling (computing),Simulation,Computer science,Mission design | Journal |
Volume | Issue | ISSN |
59 | 1 | Robotics and Autonomous Systems |
Citations | PageRank | References |
20 | 1.06 | 15 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Elias k. Xidias | 1 | 53 | 7.16 |
Philip N. Azariadis | 2 | 38 | 2.52 |