International Journal of Engineering & Tech Development

E-ISSN: 3067-672X

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Monthly Scholarly International Journal

Call for Paper Volume 2 Issue 9 September 2026 Submit your research before last 3 days of this month to publish your research paper in the issue of September.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 2 Issue 9
September 2026

Submit your research paper

Autonomous Mining Technologies: Integrating Robotics, AI and Environmental Monitoring for Safer Resource Extraction

Author(s) Nathalie Risso
Country United States
Abstract Mining operations expose workers, machinery, and surrounding ecosystems to dynamic and often unpredictable conditions. Autonomous haulage vehicles, robotic inspection platforms, unmanned aerial systems, artificial intelligence, digital twins, and distributed environmental sensors offer new possibilities for reducing direct human exposure while improving operational awareness. However, automation does not automatically produce safer or more sustainable mining. Poorly designed autonomous systems can introduce collision risks, cybersecurity vulnerabilities, automation bias, inadequate emergency responses, and fragmented environmental accountability. This paper develops an integrated framework for autonomous mining in which robotics, artificial intelligence, occupational safety, and environmental monitoring function as one coordinated decision system.
A conceptual and simulation-based methodology compares four illustrative mining configurations: conventional operation, remote-assisted operation, autonomous fleet operation, and integrated autonomy with environmental intelligence. The configurations are evaluated through simulated composite indices for worker-safety protection, environmental observability, and operational continuity. The integrated configuration records the strongest simulated performance, with scores of 89, 88, and 83, respectively. Nevertheless, the analysis shows that technological capability must be accompanied by human oversight, fail-safe engineering, interoperable data architecture, cybersecurity controls, workforce transition, and transparent environmental governance. The paper proposes a staged implementation model beginning with operational mapping and controlled pilot deployment before progressing toward supervised autonomy and ecosystem-level optimization. Autonomous mining should therefore be understood not as the removal of people from mining but as the redesign of human, machine, and environmental relationships for safer and more accountable resource extraction.
Keywords autonomous mining, mining robotics, artificial intelligence, environmental monitoring, worker safety, autonomous haulage, predictive maintenance, sustainable resource extraction
Field Engineering
Published In Volume 2, Issue 9, September 2026
Published On 2026-09-03
View / Download PDF File

Share this



E-ISSN: 3067-672X
CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJETD DOI prefix is
10.00000/IJETD

Downloads
Research Paper Format Copyright Permission and Undertaking Form

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJETD
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +1-872-302-3851 editor@uscse.com