Assessment of AI Impact on Energy Utilization in Robotics

Engineering notes

Key topics: autonomous driving, control. See the paper for implementation details and experimental results.

Chinese explanation / 中文解读

中文解读待补充：本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。

Original abstract

This review presents an up-to-date summary of AI impacts on energy utilization in a broad spectrum of modern robotic platforms, solutions in the scope of AI employment in different robotics areas, and the crucial role AI plays in energy requirements of robotic stations. Notably, among the multitude of references devoted to robotics, energy, and AI technologies, most of the “early AI” approaches are either excluded from examination or serve as auxiliary components of the full-fledged AI robotic systems. Instead, this research reveals solutions for stationary and mobile robotics, the competent application of which can make the greatest impact on energy savings. The work reveals two interconnected directions contributing to reducing losses and improving energy recovery. The first one concerns platforms for AI-assistive process-level design and programming of robotic cells. The second way covers so-called AI robots, whose behavior is not only fully controlled by AI but also results in an obvious energy-saving effect. Thus, the study demonstrates how AI can provide robot management, thereby unlocking their potential to decline energy consumption in industry, agriculture, transport, household and other areas of vital activity.

Links and sources

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