Multi Vehicle Routing With Nonholonomic Constraints And Dense Dynamic Obstacles

2017 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS)(2017)

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摘要
We introduce a variant of the multi-vehicle routing problem which accounts for nonholonomic constraints and dense, dynamic obstacles, called MVRP-DDO. The problem is strongly motivated by an industrial mining application. This paper illustrates how MVRP-DDO relates to other extensions of the vehicle routing problem. We provide an application-independent formulation of MVRP-DDO, as well as a concrete instantiation in a surface mining application. We propose a multi-abstraction search approach to compute an executable plan for the drilling operations of several machines in a very constrained environment. The approach is evaluated in terms of makespan and computation time, both of which are hard industrial requirements.
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关键词
nonholonomic constraints,dense dynamic obstacles,multivehicle routing problem,dense obstacles,industrial mining application,application-independent formulation,surface mining application,multiabstraction search approach,MVRP-DDO,executable plan,drilling operations
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