Robot Manipulation and Learning
Robot Manipulation and Learning is a research topic within Control and Systems Engineering. Science Explorer counts 33k research works in it since 1956. 20.7% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on robotic grasping, learning from demonstration, deep learning for object pose estimation, human-robot collaboration, and sensor-based robot systems. It explores topics such as dynamical movement primitives, impedance control, and safe interaction between humans and robots.
- Robot Learning
- Grasping
- Deep Learning
- Human-Robot Collaboration
- Object Pose Estimation
- Dynamical Movement Primitives
- Impedance Control
- 3D Object Recognition
- Sensor-Based Robot Systems
- Safe Human-Robot Interaction
- Research works
- 33k fractional, since 1956
- In the world top 10%
- 6.8k per year above
- Top-10% rate
- 20.7% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +42% the tick is no change
Which countries lead Robot Manipulation and Learning research?
By volume, China and the United States publish the most (2.5k and 1k works in 2022–2025).
By volume, 2022–2025
- 1 China 2.5k works
- 2 United States 1k works
- 3 Japan 634 works
- 4 Germany 479 works
- 5 Italy 337 works
- 6 United Kingdom 330 works
- 7 India 282 works
- 8 South Korea 240 works
- 9 France 168 works
- 10 Canada 151 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.
Shares of the rows listed above, not of the whole node.
Which institutions lead Robot Manipulation and Learning research?
By volume in 2022–2025, Harbin Institute of Technology publishes the most Robot Manipulation and Learning research, followed by Shanghai Jiao Tong University and Tsinghua University.
By volume, 2022–2025
- 1 Harbin Institute of TechnologyChina 103 works
- 2 Shanghai Jiao Tong UniversityChina 91 works
- 3 Tsinghua UniversityChina 78 works
- 4 Technical University of MunichGermany 65 works
- 5 Zhejiang UniversityChina 59 works
- 6 Beihang UniversityChina 53 works
- 7 The University of TokyoJapan 52 works
- 8 Carnegie Mellon UniversityUnited States 52 works
- 9 South China University of TechnologyChina 51 works
- 10 Beijing Institute of TechnologyChina 49 works
Who are the leading researchers in Robot Manipulation and Learning?
The most-cited researchers publishing on Robot Manipulation and Learning include Li Fei-Fei, Jitendra Malik and Wolfram Burgard.
- 1 Li Fei-Fei United States 17k citations
- 2 Jitendra Malik United States 12k citations
- 3 Wolfram Burgard Germany 6.3k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Robot Manipulation and Learning research done?
The largest centres of Robot Manipulation and Learning 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 Genoa.
Largest cities, 2022–2025
Where it is the local speciality
- GenoaIT · 58.1 works13×
Location quotient: how much more of its research is in Robot Manipulation and Learning than the world average.
Where is the best place to study Robot Manipulation and Learning?
Among universities, judged by research, Hong Kong Polytechnic University, Carnegie Mellon University and Technical University of Munich 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.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Hong Kong Polytechnic UniversityHong Kong | 67.5 | 42.7% | 3.4× | 22 | +205.8% |
| 2 | Carnegie Mellon UniversityUnited States | 65.4 | 27.5% | 16.9× | 52 | +20.3% |
| 3 | Technical University of MunichGermany | 65.0 | 22.8% | 10.8× | 65 | +7.0% |
| 4 | University of PatrasGreece | 64.5 | 39.9% | 8.2× | 15 | +112.3% |
| 5 | Singapore University of Technology and DesignSingapore | 62.1 | 16.1% | 16.2× | 11 | +359.5% |
| 6 | University of California, BerkeleyUnited States | 62.0 | 41.5% | 3.8× | 24 | +298.9% |
| 7 | Tsinghua UniversityChina | 61.9 | 25.9% | 5.2× | 78 | +163.5% |
| 8 | Massachusetts Institute of TechnologyUnited States | 60.9 | 34.2% | 6.7× | 31 | +70.4% |
| 9 | Harbin Institute of TechnologyChina | 58.8 | 14.1% | 8.2× | 103 | +76.7% |
| 10 | KTH Royal Institute of TechnologySweden | 58.1 | 31.9% | 7.9× | 22 | -2.6% |
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 Robot Manipulation and Learning research growing?
Output in 2018–2022 was 42% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Robot Manipulation and Learning.
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.