Title: Robotic scheduling system designation for the optimisation of operations in a labyrinth-like unmanned warehouse based on large volume: pick-up, handling and sorting

Authors: Peiwen Chi

Addresses: University of Waikato Management School, Hamilton Campus, University of Waikato, Hamilton, New Zealand

Abstract: This paper designed a central robotic scheduling system that enhances multi-robotic operations in a maze-like indoor environment. The system is proposed to optimise the operational efficiency of each robot and make collaboration among them. In this regard, three mathematical models are constructed for evaluating the multi-robots indoor operations: AGV handling model, pick-up robotic operation model, and multi-robots collaboration model. Subsequently, GA and DFS algorithms are applied to simulate the real-time operations of the proposed system. Eventually, the simulation results verify that the designed system enables handling robots to complete their assignments over a shorter travelling path with less time, which declines the expenditures of logistic enterprises in expanding their warehouse storage capacity and keeping warehouse competitiveness.

Keywords: unmanned warehouse; robotic scheduling system; automatic guided vehicles; pick-up robots; genetic algorithm; depth-first search algorithm.

DOI: 10.1504/IJLSM.2026.152868

International Journal of Logistics Systems and Management, 2026 Vol.53 No.4, pp.451 - 483

Received: 02 Sep 2023
Accepted: 06 Sep 2023
Published online: 14 Apr 2026 *

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