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Soft Robotics and Applications

Soft Robotics and Applications is a research topic within Biomedical Engineering. Science Explorer counts 28k research works in it since 1951. 17.5% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the design, fabrication, and control of soft robotic systems, with applications in areas such as minimally invasive surgery, bioinspired robotics, continuum robots, and pneumatic actuators. The research covers topics such as kinematic modeling, robotic manipulators, and biomedical applications of soft robotics.

  • Soft Robotics
  • Bioinspired Robotics
  • Continuum Robots
  • Minimally Invasive Surgery
  • Robotic Manipulators
  • Pneumatic Actuators
  • Kinematic Modeling
  • Surgical Robotics
  • Flexible Actuators
  • Biomedical Applications
Research works
28k
fractional, since 1951
In the world top 10%
4.8k
per year above
Top-10% rate
17.5%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+50%
the tick is no change

Which countries lead Soft Robotics and Applications research?

By volume, China and the United States publish the most (2.8k and 991 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 2.8k works
  2. 2 United States 991 works
  3. 3 Japan 683 works
  4. 4 United Kingdom 325 works
  5. 5 Germany 274 works
  6. 6 India 255 works
  7. 7 South Korea 239 works
  8. 8 Italy 234 works
  9. 9 France 167 works
  10. 10 Canada 137 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: 45.8%United States: 16.3%Japan: 11.2%United Kingdom: 5.3%6 others listed: 21.4%46%largest
China2,794 · 45.8%United States991 · 16.3%Japan683 · 11.2%United Kingdom325 · 5.3%6 others listed1,306 · 21.4%

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

Which institutions lead Soft Robotics and Applications research?

By volume in 2022–2025, Harbin Institute of Technology publishes the most Soft Robotics and Applications research, followed by Shanghai Jiao Tong University and Chinese University of Hong Kong.

Who are the leading researchers in Soft Robotics and Applications?

The most-cited researchers publishing on Soft Robotics and Applications include Roland Siegwart and Daniela Rus.

  1. 1 Roland Siegwart Switzerland 3.3k citations
  2. 2 Daniela Rus United States 3.2k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

Where is Soft Robotics and Applications research done?

The largest centres of Soft Robotics and Applications research in 2022–2025 are Beijing (China), Shanghai (China), Tokyo (Japan) and Harbin (China). Among places with at least 20 works in it, it is an unusually large share of all research in Qinhuangdao and Genoa.

Largest cities, 2022–2025

  1. 1 Beijing China 520 works
  2. 2 Shanghai China 250 works
  3. 3 Tokyo Japan 240 works
  4. 4 Harbin China 191 works
  5. 5 Nanjing China 152 works
  6. 6 Tianjin China 147 works
  7. 7 Hangzhou China 134 works
  8. 8 Shenzhen China 128 works
  9. 9 Guangzhou China 119 works
  10. 10 London United Kingdom 116 works

Where it is the local speciality

  1. QinhuangdaoCN · 32.3 works11×
  2. GenoaIT · 30.8 works7.3×
← less than its size predictsmore →

Location quotient: how much more of its research is in Soft Robotics and Applications than the world average.

See Soft Robotics and Applications on the map

Where is the best place to study Soft Robotics and Applications?

Among universities, judged by research, Chinese University of Hong Kong, Harbin Institute of Technology and École Polytechnique Fédérale de Lausanne 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%20%40%mean 21.43%fractional works in this node (log) →share in the world top 10% →Chinese University of Hong Kong: 66, 21.7%Harbin Institute of Technology: 141, 20.5%École Polytechnique Fédérale de Lausanne: 25, 30.9%ETH Zurich: 20, 46.2%National University of Singapore: 36, 18.0%Chinese University of Hong Kong, Shenzhen: 16, 22.7%Scuola Superiore Sant'Anna: 26, 18.9%Singapore University of Technology and Design: 8, 7.9%University of Electro-Communications: 22, 6.4%Imperial College London: 37, 21.1%ETH ZurichÉcole Polytechnique …Chinese University o…Harbin Institute of …
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 Chinese University of Hong KongHong Kong 72.721.7%13.1×66 +125.4%
2 Harbin Institute of TechnologyChina 65.920.5%11.9×141 +50.9%
3 École Polytechnique Fédérale de LausanneSwitzerland 60.730.9%8.4×25 +40.8%
4 ETH ZurichSwitzerland 57.546.2%4.1×20 +41.5%
5 National University of SingaporeSingapore 57.218.0%5.2×36 +353.8%
6 Chinese University of Hong Kong, ShenzhenChina 56.322.7%11.7×16
7 Scuola Superiore Sant'AnnaItaly 53.918.9%37.6×26 +26.6%
8 Singapore University of Technology and DesignSingapore 53.57.9%12.4×8 +805.2%
9 University of Electro-CommunicationsJapan 53.36.4%26.3×22 +193.6%
10 Imperial College LondonUnited Kingdom 52.721.1%5.7×37 +90.2%

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 Soft Robotics and Applications research growing?

Output in 2018–2022 was 50% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Soft Robotics and Applications.

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.