1. Introduction and Objectives 1.1. Global Context and Industry Challenge The mining industry is facing increasing pressure to deliver the minerals society urgently needs in a faster, safer, and more responsible manner. Growing demand, more complex ore bodies, and stricter safety and sustainability expectations are pushing traditional operating models to their practical limits. Under the theme Mining for the Future, the industry is challenged to build trust, lead transformation, and advance technology while maintaining operational continuity. Surface drilling operations play a critical role in this context, as their performance directly influences blast quality and the efficiency of downstream processes such as loading and hauling. However, conventional drilling practices are increasingly constrained by safety exposure, operational variability, and limited scalability, highlighting the need for alternative operating paradigms. 1.2. State of the Art: Autonomy and Tele-operation in Mining: In recent years, the mining industry has progressively adopted automation, autonomy, and tele-operation as mechanisms to improve safety and operational consistency. Autonomous systems enable equipment to execute repetitive tasks with high precision, while tele-operation allows human supervision and control from remote and safer environments. Globally, these developments are supported by occupational safety regulations, risk management frameworks, and corporate guidelines aimed at reducing direct human exposure to hazardous activities. Rather than eliminating human involvement, current state-of-the-art approaches emphasize human–machine collaboration, where operators transition from direct manual control to supervisory and exception-based roles. This shift represents a fundamental change in how mining equipment is operated and managed.(Aldred et al., 2012) Over the past decade, major original equipment manufacturers (OEMs), such as Caterpillar, Epiroc, and Komatsu, have developed autonomous drilling and haulage systems capable of executing predefined operational cycles with minimal direct human intervention. Documented deployments indicate that these systems integrate onboard control logic, high-precision positioning technologies, obstacle detection mechanisms, and centralized fleet management platforms to enable coordinated and scalable operations across surface mining environments. In parallel, large-scale mining operations have demonstrated the viability of autonomy at industrial scale. For example, Rio Tinto’s iron ore operations in the Pilbara region of Western Australia have deployed fully autonomous haulage systems operating continuously under high-production conditions. Managed by centralized remote operations centers, these fleets provide evidence of sustained operational stability, scalability, and productivity in real-world autonomous mining applications. Despite these advances, the structured transition from conventional, operatordependent drilling practices to tele-operated and supervised autonomous drilling within active surface mining environments presents distinct implementation challenges. While technological capability has matured, the systematic integration of autonomy levels, technical architecture, safety frameworks, and workforce adaptation into ongoing
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