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Paper ID:IJSREM68624

Design of a Dual-Mode Quadruped Robot for Explosive and Narcotics Detection in Railway Environments

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM68624

Volume:

10 |

10 |

Oct 2026

Pages:

1-11

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM68624

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

Santhosh A

Santhosh A

Department of Information Technology

Rajalakshmi Engineering College

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Abstract

Railway security teams use patrols, CCTV surveillance, baggage screening and trained dogs to identify suspicious activity and hazardous materials where inspection still depends largely on personnel and equipment placed at specific locations. This limits the examination across coaches, platforms, yards and track-side areas using one mobile system. This paper presents the design of a dual-mode quadruped robot intended to assist security personnel in these inspections. The proposed system brings together Spatially Offset Raman Spectroscopy (SORS) for checking liquid containers, Terahertz (THz) imaging for concealed materials, Ion Mobility Spectrometry (IMS) for chemical-vapour detection, Ground Penetrating Radar (GPR) for track-bed inspection and Pulse Induction Metal Detection (PIMD) for metallic objects. An NVIDIA Jetson Orin Nano handles perception and mapping, while an STM32 controller manages balance and movement. The platform supports an IP65-rated aluminium sub-chassis, electromagnetic-interference protection and copper heat pipes for thermal management. 4G LTE is the primary communication link, with LoRa as backup available when cellular service is lost. Sensor data can be stored on a one TB NVMe drive until the primary communication returns. A hardware emergency interlock is included for robot safety and maintain system integrity.

KEYWORDS

Quadruped Robotics Railways Security Explosive and IED Detection RPF Patrol Automation Multi-Spectral Chemical Sensing Embedded Control with Active Thermal Management.

Cite This Article

Santhosh A, "Design of a Dual-Mode Quadruped Robot for Explosive and Narcotics Detection in Railway Environments," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 10, pp. 1-11, Oct 2026. https://doi.org/10.55041/IJSREM68624

Full Article/Conclusion

This paper presented the proposed design and system architecture of an indigenous dual-mode quadruped robot intended for security inspection in railway environments. The platform combines multiple sensing technologies, including SORS, IMS, THz, GPR, and PIMD, with a 6061-T6 aluminium structural enclosure for protecting the internal electronics. The proposed architecture brings sensing, mobility, computing, thermal management, communication, and safety functions together within a single robotic platform. The two-level computing architecture separates high-level perception from low-level motion control. The Jetson Orin Nano is intended to handle computationally intensive perception and sensing tasks, while the STM32 controller manages low-level motion and balance functions. A control frequency of 500 Hz is defined as a design target for the low-level control loop. The thermal-management design incorporates copper heat pipes and Aerogel insulation to support heat management around the computing and battery sections. These measures are intended to improve heat transfer from the electronics and reduce external heat transfer to the battery compartment during operation in hot outdoor railway environments. For communication and safety, the proposed platform uses 4G LTE as the primary communication link, with LoRa available as a backup when cellular connectivity is unavailable. A 1 TB NVMe SSD provides local storage for sensor and system data during periods of limited connectivity, while the hardware emergency interlock is designed to disconnect the motor power supply during an emergency condition. Overall, the proposed system is intended to provide a mobile inspection platform that can assist security personnel by combining multi-modal sensing, quadruped mobility, onboard computing, local data storage, and communication backup within a single architecture.

References

[1] Ministry of Railways, Government of India, “Development of Mobile (Quadruped)/Handheld Device/System for Real-Time Detection of Narcotics and Explosives across Indian Railways,” Smart India Hackathon 2026, Problem Statement SIH26026, 2026.   [2] Press Information Bureau, Ministry of Railways, Government of India, “Backed by Better Monitoring, CCTV Surveillance & Special Drives, RPF Detects 4328 Drug Trafficking Cases in Last 3 Years,” 18 Mar. 2026.   [3] L. S. Karumbunathan and S. H. Sheshadri, “Develop AI-Powered Robots, Smart Vision Systems, and More with NVIDIA Jetson Orin Nano Developer Kit,” NVIDIA Technical Blog, Mar. 21, 2023.   [4] E. L. Izake, S. Sundarajoo, W. Olds, B. Cletus, et al., “Standoff Raman spectrometry for the non-invasive detection of explosives precursors in highly fluorescing packaging,” Talanta, vol. 103, pp. 20–27, 2013, doi: 10.1016/j.talanta.2012.09.055. [5] C. Eliasson, N. A. Macleod, and P. Matousek, “Noninvasive Detection of Concealed Liquid Explosives Using Raman Spectroscopy,” Analytical Chemistry, vol. 79, no. 21, pp. 8185–8189, 2007, doi: 10.1021/ac071383n.   [6] R. G. Ewing, D. A. Atkinson, G. A. Eiceman, and G. J. Ewing, “A critical review of ion mobility spectrometry for the detection of explosives and explosive related compounds,” Talanta, vol. 54, no. 3, pp. 515–529, 2001, doi: 10.1016/S0039-9140(00)00565-8.   [7] Y. Zhao, Y. Gan, J. Chen, H. Zheng, Y. Chang, and C. Lin, “Recent reports on the sensing strategy and the on-site detection of illegal drugs,” RSC Advances, vol. 14, pp. 6917–6929, 2024, doi: 10.1039/D3RA06931A.   [8] J. F. Federici, D. Gary, R. Barat, and Z.-H. Michalopoulou, “Detection of Explosives by Terahertz Imaging,” in Counterterrorist Detection Techniques of Explosives, pp. 323–366, Elsevier, 2007, doi: 10.1016/B978-044452204-7/50030-4.   [9] X. Jiang, Y. Li, Y. Li, C.-Y. Shen, A. Ozcan, and M. Jarrahi, “Detection and imaging of chemicals and hidden explosives using terahertz time-domain spectroscopy and deep learning,” Light: Science & Applications, vol. 15, Art. 80, 2026, doi: 10.1038/s41377-026-02190-z.   [10] S. Wang, G. Liu, G. Jing, Q. Feng, H. Liu, and Y. Guo, “State-of-the-Art Review of Ground Penetrating Radar (GPR) Applications for Railway Ballast Inspection,” Sensors, vol. 22, no. 7, Art. 2450, 2022, doi: 10.3390/s22072450.

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Publication Date

10/31/2026

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