Robotics and Sensor-Based Localization
Robotics and Sensor-Based Localization is a research topic within Aerospace Engineering. Science Explorer counts 60k research works in it since 1950. 35.4% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on Simultaneous Localization and Mapping (SLAM) techniques, including visual odometry, 3D mapping, and graph optimization for mobile robots and autonomous systems. It covers various aspects such as monocular SLAM, RGB-D cameras, point cloud processing, and real-time implementation for accurate localization and mapping.
- SLAM
- 3D Mapping
- Visual Odometry
- Robotics
- Localization
- Point Cloud
- Monocular SLAM
- RGB-D Cameras
- Graph Optimization
- Mobile Robots
- Research works
- 60k fractional, since 1950
- In the world top 10%
- 21k per year above
- Top-10% rate
- 35.4% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +27% the tick is no change
Which countries lead Robotics and Sensor-Based Localization research?
By volume, China and the United States publish the most (7.2k and 1.4k works in 2022–2025).
By volume, 2022–2025
- 1 China 7.2k works
- 2 United States 1.4k works
- 3 Japan 569 works
- 4 India 552 works
- 5 South Korea 533 works
- 6 Germany 506 works
- 7 United Kingdom 349 works
- 8 Italy 325 works
- 9 Canada 238 works
- 10 France 226 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 Robotics and Sensor-Based Localization research?
By volume in 2022–2025, Beijing Institute of Technology publishes the most Robotics and Sensor-Based Localization research, followed by National University of Defense Technology and Harbin Institute of Technology.
By volume, 2022–2025
- 1 Beijing Institute of TechnologyChina 172 works
- 2 National University of Defense TechnologyChina 161 works
- 3 Harbin Institute of TechnologyChina 153 works
- 4 Beihang UniversityChina 151 works
- 5 Shanghai Jiao Tong UniversityChina 150 works
- 6 Northwestern Polytechnical UniversityChina 147 works
- 7 Wuhan UniversityChina 138 works
- 8 Zhejiang UniversityChina 127 works
- 9 Nanjing University of Aeronautics and AstronauticsChina 121 works
- 10 Tsinghua UniversityChina 120 works
Who are the leading researchers in Robotics and Sensor-Based Localization?
The most-cited researchers publishing on Robotics and Sensor-Based Localization include Andrew Zisserman, Dragomir Anguelov and Serge Belongie.
- 1 Andrew Zisserman United Kingdom 25k citations
- 2 Dragomir Anguelov United States 18k citations
- 3 Serge Belongie United States 14k citations
- 4 Xiaogang Wang Russia 13k citations
- 5 Jitendra Malik United States 12k citations
- 6 Tsung-Yi Lin United States 11k citations
- 7 James Hays United States 11k citations
- 8 Pietro Perona United States 11k citations
- 9 Deva Ramanan United States 11k citations
- 10 Sebastian Thrun United States 10k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Robotics and Sensor-Based Localization research done?
The largest centres of Robotics and Sensor-Based Localization research in 2022–2025 are Beijing (China), Shanghai (China), Nanjing (China) and Xi'an (China).
Where is the best place to study Robotics and Sensor-Based Localization?
Among universities, judged by research, Hong Kong University of Science and Technology, Singapore University of Technology and Design and Wuhan University 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 University of Science and TechnologyHong Kong | 68.5 | 51.1% | 6.6× | 37 | +280.8% |
| 2 | Singapore University of Technology and DesignSingapore | 67.7 | 41.3% | 13.9× | 19 | +416.6% |
| 3 | Wuhan UniversityChina | 66.9 | 48.8% | 7.9× | 138 | +83.9% |
| 4 | National University of Defense TechnologyChina | 64.2 | 37.0% | 14.3× | 161 | +41.6% |
| 5 | Beijing Institute of TechnologyChina | 63.8 | 32.4% | 10.0× | 172 | +49.0% |
| 6 | Luleå University of TechnologySweden | 63.7 | 35.9% | 10.6× | 18 | +198.1% |
| 7 | Beihang UniversityChina | 63.6 | 32.2% | 9.4× | 151 | +85.9% |
| 8 | Hong Kong Polytechnic UniversityHong Kong | 61.7 | 52.7% | 3.8× | 48 | +167.1% |
| 9 | Northwestern Polytechnical UniversityChina | 61.1 | 35.7% | 8.9× | 147 | +40.1% |
| 10 | Nanjing University of Aeronautics and AstronauticsChina | 58.4 | 31.0% | 9.4× | 121 | +37.2% |
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 Robotics and Sensor-Based Localization research growing?
Output in 2018–2022 was 27% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Robotics and Sensor-Based Localization.
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.