Road map for implementing AI-driven Oulu Smart excavator

Abstract

Machine control systems are advancing side by side with the adoption of 5G and growing trends of the internet of things (IoT) has made autonomous excavators more ubiquitous. The autonomous excavators have gained significant interest in the earthworks area, due to their enhanced productivity for long hours, safety, space exploration, mining and construction work. However, A great amount of effort is required to address many existing challenges such as adaptive movement and control, task planning (digging, moving debris, etc.), collaborative work with other machines and humans. In this study, we review the state of the art and provide artificial intelligence (AI-) driven road map for implementing a complete autonomous framework for the earth-moving machine to our test platform 'Smart Excavator'. Furthermore, the challenges and required effort to implement the framework are also discussed in comparison with existing literature.

Adaptive Utilization of Pressure Sensor Data in Excavation

“…The smart excavator used in this study was developed by Oulu University's Civil Engineering Research Unit from a standard Bobcat E85 Compact excavator. It is fully automated and can be operated with four different control methods (Immonen, 2014and Heikkilä et al, 2019and Mehmood et al, 2021. The first is typical manual operation mode, whereby a pilot operates the controls of the excavator from inside the cockpit.…”

A Novel Edge Architecture and Solution for Detecting Concept Drift in Smart Environments

“…Evidently, the services developed based on the IoT, and the multitude of sensors with cost-effective computational resources have made the ever-growing urban areas and buildings intelligent. These developments are now evident in public offices, smart buildings, utility applications, the transportation domain, earth-moving machines in construction and mining areas, health care, economic platforms, and others [9,26,33,34]. Furthermore, such technological disruption not only makes cities and buildings smarter but also helps to improve people's well-being and living standards via smart apps such as healthcare portals, e-learning platforms, routine planning applications, weather applications, and others [13,33].…”