Kening Mi

Xi’an University

Papers

1

Total Citations

5

H-Index

1

About

Kening Mi is a researcher focused on advancing intelligent robotics and automation for critical infrastructure, particularly in the domain of electrical distribution systems. Their work centers on developing robust path planning algorithms for robotic arms used in maintenance tasks within complex, unstructured environments. Mi's most-cited paper, "Research on path planning of intelligent maintenance robotic arm for distribution lines under complex environment" (2024), with 5 citations, addresses the challenge of enabling robotic systems to navigate and operate safely and efficiently in challenging real-world settings, such as cluttered or hazardous distribution line environments. This contribution is vital for enhancing the reliability and safety of power grid maintenance, reducing human risk, and improving operational efficiency. By integrating artificial intelligence with mechanical engineering, Mi’s research lays foundational groundwork for the next generation of autonomous service robots. Their work is particularly relevant for students and researchers interested in robotics, automation, and smart grid technologies, offering practical solutions to pressing industrial problems.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Research on path planning of intelligent maintenance robotic arm for distribution lines under complex environment
5 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Xi’an University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago