Comparative Analysis of Modern Robotic Demining Complexes and Development of an Automated Mission Planning Algorithm †

Nurgizat Y. Sultan A. Zhetenbayev N. Ayazbay A.-A. Uzbekbayev A. Sergazin G. Alipbayev K.
2025 Multidisciplinary Digital Publishing Institute (MDPI)

Engineering Proceedings
2025 #104 Issue 1

This paper presents a comparative analysis of ten state-of-the-art robotic de-mining systems, grouped into (i) sensor-centric platforms for high-precision detection and (ii) rapid mechanical-contact vehicles for clearance. Building on these findings, we propose a lightweight tracked platform (~1.9 T) equipped with a four-channel sensing suite-RGB/IR camera, 32-layer LiDAR, pulsed-induction metal detector, and 2.45 GHz microwave thermography—integrated in an adaptive Bayesian “detect → confirm → neutralize” loop. The modular end-effector permits either pinpoint mechanical intervention or deployment of a linear charge. Modelling indicates an expected detection sensitivity ≥ 95% with a false-positive rate ≤ 5% in humanitarian demining mode and a clearance throughput above 1.5 ha·h⁻¹ in breaching mode. Ongoing work includes CFD analysis of the thermal front, fabrication of a prototype, and performance testing in accordance with IMAS 10.20.

Bayesian classifier , microwave thermography , mission planning , pulsed induction , robotic demining , sensor fusion

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Department of Electronic Engineering, Almaty University of Power Engineering and Telecommunications Named Gumarbek Daukeyev, Almaty, 050062, Kazakhstan
Department of Innovation, ALT University Named After Mukhamedzhan Tynyshpaev, Almaty, 050062, Kazakhstan
SAN Assessment LLP, Almaty, 050062, Kazakhstan
Research Institute of “Applied Science and Technologies” LLP, Almaty, 050062, Kazakhstan

Department of Electronic Engineering
Department of Innovation
SAN Assessment LLP
Research Institute of “Applied Science and Technologies” LLP

10 лет помогаем публиковать статьи Международный издатель

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