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Topic · Mechanical Engineering

Power Line Inspection Robots

Power Line Inspection Robots is a research topic within Mechanical Engineering. Science Explorer counts 7.9k research works in it since 1950. 5.8% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the development and application of robotic systems for the inspection, maintenance, and monitoring of power transmission lines. It covers a wide range of technologies including unmanned aerial vehicles, obstacle navigation, autonomous systems, and substation inspection.

  • Robotics
  • Power Transmission Lines
  • Inspection
  • Maintenance
  • Unmanned Aerial Vehicles
  • Obstacle Navigation
  • High-Voltage Lines
  • Autonomous Systems
  • Substation Inspection
  • Mobile Robots
Research works
7.9k
fractional, since 1950
In the world top 10%
462
per year above
Top-10% rate
5.8%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+18%
the tick is no change

Which countries lead Power Line Inspection Robots research?

By volume, China and India publish the most (1.5k and 108 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 1.5k works
  2. 2 India 108 works
  3. 3 United States 93 works
  4. 4 Japan 73 works
  5. 5 ?? 67 works
  6. 6 United Kingdom 28 works
  7. 7 South Korea 23 works
  8. 8 Russia 22 works
  9. 9 Brazil 20 works
  10. 10 Indonesia 17 works

How concentrated that is

The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.

China: 77.0%India: 5.5%United States: 4.8%Japan: 3.7%6 others listed: 9.0%77%largest
China1,506 · 77.0%India108 · 5.5%United States93 · 4.8%Japan73 · 3.7%6 others listed176 · 9.0%

Shares of the rows listed above, not of the whole node.

Which institutions lead Power Line Inspection Robots research?

By volume in 2022–2025, China Southern Power Grid (China) publishes the most Power Line Inspection Robots research, followed by State Grid Corporation of China (China) and Shanghai Electric (China).

By volume, 2022–2025

  1. 1 China Southern Power Grid (China)China 114 works
  2. 2 State Grid Corporation of China (China)China 86 works
  3. 3 Shanghai Electric (China)China 65 works
  4. 4 North China Electric Power UniversityChina 50 works
  5. 5 China Electric Power Research Institute?? 27 works
  6. 6 Power Grid Corporation (India)India 24 works
  7. 7 Guizhou Electric Power Design and Research InstituteChina 20 works
  8. 8 Inner Mongolia Electric Power (China)China 17 works
  9. 9 Xi'an Jiaotong UniversityChina 17 works
  10. 10 Fujian Electric Power Survey & Design InstituteChina 16 works

Where is Power Line Inspection Robots research done?

The largest centres of Power Line Inspection Robots research in 2022–2025 are Beijing (China), Guangzhou (China), Shanghai (China) and Nanjing (China). Among places with at least 20 works in it, it is an unusually large share of all research in Beijing, Gurgaon and Hohhot.

Largest cities, 2022–2025

  1. 1 Beijing China 282 works
  2. 2 Guangzhou China 141 works
  3. 3 Shanghai China 129 works
  4. 4 Nanjing China 70 works
  5. 5 Wuhan China 65 works
  6. 6 Xi'an China 61 works
  7. 7 Changsha China 48 works
  8. 8 Tianjin China 42 works
  9. 9 Chengdu China 38 works
  10. 10 Shenyang China 35 works

Where it is the local speciality

  1. Beijing29.2 works33×
  2. GurgaonIN · 23.7 works29×
  3. HohhotCN · 21.7 works13×
  4. GuiyangCN · 21.4 works7.8×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Power Line Inspection Robots than the world average.

See Power Line Inspection Robots on the map

Where is the best place to study Power Line Inspection Robots?

Among universities, judged by research, North China Electric Power University, Shanghai University of Electric Power and China University of Mining and Technology score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

0%10%20%mean 10.61%fractional works in this node (log) →share in the world top 10% →North China Electric Power University: 50, 7.9%Shanghai University of Electric Power: 12, 8.7%China University of Mining and Technology: 14, 11.1%Changsha University of Science and Technology: 14, 6.7%China Three Gorges University: 13, 7.9%Northeastern University: 10, 15.7%Harbin Institute of Technology: 12, 19.2%Wuhan University: 16, 12.3%Hunan University: 10, 10.6%Shanghai Dianji University: 8, 6.0%China University of …Shanghai University …North China Electric…Changsha University …
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1 North China Electric Power UniversityChina 52.77.9%35.7×50 -37.0%
2 Shanghai University of Electric PowerChina 44.38.7%32.8×12 -6.3%
3 China University of Mining and TechnologyChina 43.411.1%8.6×14 -64.9%
4 Changsha University of Science and TechnologyChina 43.06.7%26.9×14 -10.7%
5 China Three Gorges UniversityChina 41.57.9%28.2×13 -73.1%
6 Northeastern UniversityChina 41.515.7%5.2×10 +21.7%
7 Harbin Institute of TechnologyChina 40.219.2%3.5×12 -45.0%
8 Wuhan UniversityChina 39.612.3%6.1×16 -41.0%
9 Hunan UniversityChina 36.910.6%7.2×10 -88.4%
10 Shanghai Dianji UniversityChina 34.56.0%40.9×8 -100.0%

Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.

Is Power Line Inspection Robots research growing?

Output in 2018–2022 was 18% higher than in 2013–2017, peaking in 2025.

19801990200020102020
grewheldshrank

The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.

Which topics inside it are moving

Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.