Optimization Design and Energy Efficiency Management of Robot Power Systems

This comprehensive review explores the critical field of robot power systems, focusing on optimization design principles and energy efficiency management strategies. The article examines the fundamental components of robot power systems, including power sources, distribution networks, and energy storage solutions. It delves into key optimization techniques, such as power source selection, thermal management, and weight reduction, while also discussing advanced energy efficiency management strategies like power-aware task planning and dynamic power management. The review highlights emerging technologies in the field, including next-generation batteries, energy harvesting techniques, and AI-driven power management. Additionally, it addresses current challenges and future research directions, emphasizing the interdisciplinary nature of the field and its crucial role in advancing robotics across various industries. This article provides valuable insights for researchers, engineers, and practitioners working on improving the performance, efficiency, and capabilities of robotic systems.

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Publication Details

Journal
Academic Journal of Science and Technology
Published
2024-08-20
DOI
https://doi.org/10.54097/va1sr570
Primary Topic
Modular Robots and Swarm Intelligence
Type
article
Field-Weighted Citation Impact
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article

Optimization Design and Energy Efficiency Management of Robot Power Systems

Chenrui Hu
Academic Journal of Science and Technology
Modular Robots and Swarm Intelligence
article

Optimization Design and Energy Efficiency Management of Robot Power Systems

Chenrui Hu
article en

Abstract

This comprehensive review explores the critical field of robot power systems, focusing on optimization design principles and energy efficiency management strategies. The article examines the fundamental components of robot power systems, including power sources, distribution networks, and energy storage solutions. It delves into key optimization techniques, such as power source selection, thermal management, and weight reduction, while also discussing advanced energy efficiency management strategies like power-aware task planning and dynamic power management. The review highlights emerging technologies in the field, including next-generation batteries, energy harvesting techniques, and AI-driven power management. Additionally, it addresses current challenges and future research directions, emphasizing the interdisciplinary nature of the field and its crucial role in advancing robotics across various industries. This article provides valuable insights for researchers, engineers, and practitioners working on improving the performance, efficiency, and capabilities of robotic systems.

Academic Journal of Science and TechnologyVol. 12(1)
Wenzhou Municipal Sci-Tech Bureau (CN)
Affordable and clean energy
Openalex Percentile: Top 87%
Modular Robots and Swarm Intelligence
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