Autonomous driving in unstructured environments is crucial for various applications,
including agriculture, military, and mining. However, research in unstructured environments …

For the existence of biorefineries, a consistent supply of sustainable crop residues is critical.
Crop residue removal may adversely affect the overall sustainability, ie, soil productivity and …

Wheeled mobile robots (WMRs) are being used in many real-world applications. The main
challenge in the deployment of WMRs is their limited battery power. In order to complete a …

It is critical to master a marine robot's energy system characteristics adequately to ensure
that the robot can perform long‐endurance tasks in complex and ever‐changing marine …

This paper presents an adaptive energy-aware prediction and planning framework for
vehicles navigating over terrains with varying and unknown properties. A novel feature of the …

Driving energy consumption plays a major role in the navigation of autonomous mobile
robots in off-road scenarios. However, real-time constraints often limit the accuracy of the …

This paper proposes the PANORAMA approach, which is designed to dynamically and
autonomously manage the allocation of a robot's hardware and software resources during …

Driving energy consumption plays an important role in the navigation of autonomous mobile
robots in off-road scenarios. However, the accuracy of the driving energy predictions is often …

Background In recent years, we have seen renewed efforts to study and explore the Moon;
modern techniques like machine learning can be important in this context, especially in …

This research proposes a comprehensive approach to address pressing challenges in
environmental sustainability, agricultural residue management, using machine learning …