Robotic Path Planning Algorithms
Robotic Path Planning Algorithms is a research topic within Computer Vision and Pattern Recognition. Science Explorer counts 60k research works in it since 1950. 9.7% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on sampling-based algorithms, optimal motion planning, and path planning for robot navigation. It covers topics such as collision avoidance, real-time planning, kinodynamic planning, probabilistic roadmaps, multi-agent systems, and autonomous vehicles.
- Sampling-Based Algorithms
- Optimal Motion Planning
- Path Planning
- Collision Avoidance
- Robot Navigation
- Real-Time Planning
- Kinodynamic Planning
- Probabilistic Roadmaps
- Multi-Agent Systems
- Autonomous Vehicles
- Research works
- 60k fractional, since 1950
- In the world top 10%
- 5.8k per year above
- Top-10% rate
- 9.7% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- +55% the tick is no change
- Largest producer
China
60% of the 10 largest, 2022-now
Which countries lead Robotic Path Planning Algorithms research?
By volume, China and the United States publish the most (8.2k and 1.7k works in 2022-now).
By volume, 2022-now
- 1
China 8.2k works
- 2
United States 1.7k works
- 3
India 1k works
- 4
Japan 669 works
- 5
Germany 478 works
- 6
South Korea 437 works
- 7
United Kingdom 349 works
- 8
Italy 339 works
- 9
Russia 296 works
- 10
France 258 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 Robotic Path Planning Algorithms research?
By volume in 2022-now, Beijing Institute of Technology publishes the most Robotic Path Planning Algorithms research, followed by Chinese Academy of Sciences and Beihang University.
By volume, 2022-now
- 1
Beijing Institute of Technology
China 246 works
- 2
Chinese Academy of Sciences
China 207 works
- 3
Beihang University
China 193 works
- 4
Northwestern Polytechnical University
China 185 works
- 5
Harbin Institute of Technology
China 180 works
- 6
Nanjing University of Aeronautics and Astronautics
China 173 works
- 7
National University of Defense Technology
China 165 works
- 8
Shanghai Jiao Tong University
China 133 works
- 9
Zhejiang University
China 124 works
- 10
Harbin Engineering University
China 114 works
Who are the leading researchers in Robotic Path Planning Algorithms?
The most-cited researchers publishing on Robotic Path Planning Algorithms include Xiangyu Zhang, Xiaogang Wang and Yann LeCun.
- 1 Xiangyu Zhang 327k citations
- 2
Xiaogang Wang
China 260k citations
- 3
Yann LeCun
United States 256k citations
- 4
Andrew Zisserman
United Kingdom 255k citations
- 5
Li Fei-Fei
United States 225k citations
- 6
Kai You Wang
China 224k citations
- 7
Trevor J. Darrell
United States 206k citations
- 8
Paul M. Thompson
United States 196k citations
- 9
Jürgen Schmidhuber
Switzerland 188k citations
- 10
Luc Van Gool
Switzerland 177k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Robotic Path Planning Algorithms research done?
The largest centres of Robotic Path Planning Algorithms research in 2022-now are Beijing (China), Shanghai (China), Nanjing (China) and Xi'an (China). Among places with at least 20 works in it, it is an unusually large share of all research in Cranfield and Luleå.
Largest cities, 2022-now
Where it is the local speciality
- CranfieldGB · 29.3 works13×
- LuleåSE · 22.4 works10×
Location quotient: how much more of its research is in Robotic Path Planning Algorithms than the world average.
Where is the best place to study Robotic Path Planning Algorithms?
Among universities, judged by research, Hong Kong University of Science and Technology, Northwestern Polytechnical University and University of Hong Kong score highest, combining citation 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 first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.
Universities only. The score blends citation excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.
Every institution in Robotic Path Planning Algorithms, country by countryIs Robotic Path Planning Algorithms research growing?
Output in 2022-2025 was 55% higher than in 2018-2021, peaking in 2024. The fastest-growing topics are Robotic Path Planning Algorithms.
The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.
Its share of all research
Growing output can still be a shrinking share: all of science grows. This is Robotic Path Planning Algorithms as a percentage of every work published that year, 0.088% in 2024.
Fractional works of Robotic Path Planning Algorithms over all fractional works that year. How the balance of science has shifted.
How much of it reaches the world top 10%
Year by year.
Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.
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.
Questions people ask
Who leads robotics research?
By volume in 2022-now, Beijing Institute of Technology publishes the most Robotic Path Planning Algorithms research, followed by Chinese Academy of Sciences and Beihang University. By volume, China and the United States publish the most (8.2k and 1.7k works in 2022-now).
Discussion
Ask a question or share a note about Robotic Path Planning Algorithms. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.