Story 04 · 12 October 2026
What do companies study in robotics?
Google, BMW and China Southern Power Grid appear in the robotics papers we collected. Their researchers work on different problems, from learning and driving to inspecting power lines. We open a few of those papers, then look at the larger patterns of company participation in the research.
Field of viewThe papers we gathered by following citations, grouped by those citations into research topics, and the institutions their authors name. A company author shows a company taking part in research, not a product; only papers whose authors name an institution can be counted, and the share that do is stated on every figure.How much can this map see?
01 · One paper
What does a power company have to do with robots?
One paper
Research of Multi-Rotor UAVs Detailed Autonomous Inspection Technology of Transmission Lines Based on Route Planning
2019 · China Southern Power Grid
Cited 81 times, as OpenAlex counts; one of the 3,853 papers we file under inspecting power lines.
The company as OpenAlex lists it: China Southern Power Grid (China).
In 2019 engineers at China Southern Power Grid, one of China’s two grid operators, published a paper on a chore that sounds nothing like robotics: inspecting high-voltage transmission towers. The paper works out safety rules and flight routes for a small drone to fly the tower and photograph it automatically, tower after tower. That is a robotics paper by any measure we use: it sits among 3,853 papers that cite one another on the same problem, which we file as one research topic. It has been cited 81 times. And its authors work for a power company, not a university or a robot maker. This story asks how often that happens, and where.
02 · Three problems
Who publishes about each problem?
Data table
| Topic | Institution, as OpenAlex names it | papers with a company author naming the institution |
|---|---|---|
| driving | Daimler (Germany) | 413 |
| driving | Robert Bosch (Germany) | 289 |
| driving | Ford Motor Company (United States) | 255 |
| driving | Volvo (Sweden) | 213 |
| driving | BMW Group (Germany) | 212 |
| learning | Google (United States) | 806 |
| learning | Meta (Israel) | 203 |
| learning | Microsoft (United States) | 174 |
| learning | Microsoft Research (United Kingdom) | 164 |
| learning | Intel (United States) | 91 |
| inspecting power lines | China Southern Power Grid (China) | 167 |
| inspecting power lines | State Grid Corporation of China (China) | 132 |
| inspecting power lines | Shanghai Electric (China) | 82 |
| inspecting power lines | Inner Mongolia Electric Power (China) | 29 |
| inspecting power lines | Power Grid Corporation (India) | 18 |
Three problems, three kinds of company. Driving — 78,776 papers on how a car sees the road and decides — is where the car industry publishes: Daimler (Germany), Robert Bosch (Germany), Ford Motor Company (United States). Learning — 55,019 papers on how a machine improves by trial — is the technology companies’: Google (United States) first by a distance, then Meta (Israel). Inspecting power lines — 3,853 papers — is the utilities’: China Southern Power Grid (China) and State Grid Corporation of China (China). Two denominators, and they answer different questions. The bars count papers in a topic that name a company; they do not say how a company spreads its papers across topics.
03 · The pattern
How much of each problem’s research involves a company?
Data table
| year | inspecting power lines | driving | learning | every placed topic |
|---|---|---|---|---|
| 2005 | 13.6 | 17.6 | 3.0 | 7.4 |
| 2006 | 12.1 | 17.9 | 4.5 | 6.9 |
| 2007 | 7.1 | 16.9 | 3.1 | 7.0 |
| 2008 | 12.8 | 16.1 | 3.8 | 6.9 |
| 2009 | 14.5 | 13.7 | 4.0 | 6.5 |
| 2010 | 15.1 | 14.3 | 3.6 | 6.2 |
| 2011 | 11.5 | 12.1 | 3.4 | 5.7 |
| 2012 | 13.3 | 13.3 | 3.4 | 6.1 |
| 2013 | 12.6 | 12.7 | 5.6 | 6.1 |
| 2014 | 13.4 | 13.3 | 4.7 | 5.8 |
| 2015 | 15.5 | 13.8 | 5.3 | 5.8 |
| 2016 | 5.8 | 12.3 | 8.8 | 6.0 |
| 2017 | 15.5 | 12.4 | 9.1 | 5.9 |
| 2018 | 16.6 | 12.1 | 14.7 | 6.0 |
| 2019 | 14.7 | 13.2 | 16.4 | 6.6 |
| 2020 | 17.1 | 13.3 | 16.4 | 6.6 |
| 2021 | 22.8 | 11.7 | 14.7 | 6.4 |
| 2022 | 24.4 | 11.0 | 9.9 | 5.9 |
| 2023 | 23.9 | 9.9 | 8.6 | 5.9 |
| 2024 | 25.5 | 10.4 | 7.2 | 6.0 |
Over the last ten years, 11.7% of the driving papers we can attribute carry a company author, 11.9% of the learning papers, and 20.9% of the power-line papers — against 6.1% across every topic we place. The average is small because most robotics research is academic; inside it, three very different stories run. What the lines do not say: a company author is a company taking part in research, not a company using the technique, and not a product. And a line can move for a dull reason — the share of papers whose authors name any institution differs by topic and by year — which is why the caption states it.