Speeding up Routing Schedules on Aisle-Graphs with Single Access
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Abstract (arXiv)
In this paper, we study the Orienteering Aisle-graphs Single-access Problem (OASP), a variant of the orienteering problem for a robot moving in a so-called single-access aisle-graph, i.e., a graph consisting of a set of rows that can be accessed from one side only. Aisle-graphs model, among others, vineyards or warehouses. Each aisle-graph vertex is associated with a reward that a robot obtains when visits the vertex itself. As the robot's energy is limited, only a subset of vertices can be visited with a fully charged battery. The objective is to maximize the total reward collected by the robot with a battery charge. We first propose an optimal algorithm that solves OASP in O(m^2 n^2) time for aisle-graphs with a single access consisting of m rows, each with n vertices. With the goal of designing faster solutions, we propose four greedy sub-optimal algorithms that run in at most O(mn (m+n)) time. For two of them, we guarantee an approximation ratio of 1/2(1-1/e), where e is the base of the natural logarithm, on the total reward by exploiting the well-known submodularity property. Experimentally, we show that these algorithms collect more than 80% of the optimal reward.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 10 Feb 2021.
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Citing papers per year: 2024: 2; 2025: 1; 2026: 1.
4 papers.
- 2024Solving Stochastic Orienteering Problems with Chance Constraints Using a GNN Powered Monte Carlo Tree Searchcited by 2
- 2024Scalable Hierarchical Reinforcement Learning for Hyper Scale Multi-Robot Task Planningcited by 0
- 2025Pro-Routing: Proactive Routing of Autonomous Multi-Capacity Robots for Pickup-and-Delivery Taskscited by 0
- 2026Model-Based Reinforcement Learning for Heterogeneous Multi-Robot Task Assignment Under Distribution Shiftscited by 0
- 2026Model-Based Reinforcement Learning for Heterogeneous Multi-Robot Task Assignment Under Distribution Shifts21 Aug 2026
- 2025Pro-Routing: Proactive Routing of Autonomous Multi-Capacity Robots for Pickup-and-Delivery Tasks31 Mar 2025
- 2024Scalable Hierarchical Reinforcement Learning for Hyper Scale Multi-Robot Task Planning27 Dec 2024
- 2024Solving Stochastic Orienteering Problems with Chance Constraints Using a GNN Powered Monte Carlo Tree Search6 Sep 2024