An Intelligent Task Control System For Dynamic Mining Environments

Automation and robotics are the keys to new intelligent autonomous mining systems that can remove operators from hazardous and stressful mining environments and provide the tools for greater productivity. This paper presents the components necessary for an Intelligent Task Control System (ITCS) for machine control in dynamic unstructured mining environments. In particular, the design details of a controller for an automated excavator are developed. The excavator controller uses fuzzy logic to interpret forces and torques gathered from a wrist mounted force/ torque sensor during the excavation process. This approach enables the transfer of human heuristics and expert knowledge to the controller. Several excavation tests using the fuzzy logic controller are described. These experimental results represent the first step toward an integrated approach that uses force/torque, vision and other sensor data to perform generic tasks in uncertain mining environments.