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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. 21.9% 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%
13k
per year above
Top-10% rate
21.9%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+45%
the tick is no change

Which countries lead Robotic Path Planning Algorithms research?

By volume, China and the United States publish the most (7.4k and 1.6k works in 2022–2025).

By volume, 2022–2025

  1. 1 China 7.4k works
  2. 2 United States 1.6k works
  3. 3 India 947 works
  4. 4 Japan 642 works
  5. 5 Germany 448 works
  6. 6 South Korea 409 works
  7. 7 Italy 322 works
  8. 8 United Kingdom 322 works
  9. 9 Russia 278 works
  10. 10 France 248 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: 58.7%United States: 12.7%India: 7.5%Japan: 5.1%6 others listed: 16.1%59%largest
China7,395 · 58.7%United States1,596 · 12.7%India947 · 7.5%Japan642 · 5.1%6 others listed2,026 · 16.1%

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

Which institutions lead Robotic Path Planning Algorithms research?

By volume in 2022–2025, Beijing Institute of Technology publishes the most Robotic Path Planning Algorithms research, followed by Beihang University and Northwestern Polytechnical University.

By volume, 2022–2025

  1. 1 Beijing Institute of Technology China 232 works
  2. 2 Beihang University China 178 works
  3. 3 Northwestern Polytechnical University China 176 works
  4. 4 Harbin Institute of Technology China 161 works
  5. 5 Nanjing University of Aeronautics and Astronautics China 157 works
  6. 6 National University of Defense Technology China 156 works
  7. 7 Shanghai Jiao Tong University China 121 works
  8. 8 Harbin Engineering University China 105 works
  9. 9 Wuhan University of Technology China 102 works
  10. 10 Zhejiang University China 99 works

Who are the leading researchers in Robotic Path Planning Algorithms?

The most-cited researchers publishing on Robotic Path Planning Algorithms include Sebastian Thrun, Stanley Osher and Wolfram Burgard.

  1. 1 Sebastian Thrun 10k citations
  2. 2 Stanley Osher 8k citations
  3. 3 Wolfram Burgard 6.3k 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 2022–2025 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, 2022–2025

  1. 1 Beijing China 1.3k works
  2. 2 Shanghai China 547 works
  3. 3 Nanjing China 477 works
  4. 4 Xi'an China 473 works
  5. 5 Wuhan China 380 works
  6. 6 Harbin China 319 works
  7. 7 Changsha China 263 works
  8. 8 Tianjin China 251 works
  9. 9 Hangzhou China 246 works
  10. 10 Guangzhou China 237 works

Where it is the local speciality

  1. CranfieldGB · 28.6 works13×
  2. LuleåSE · 21.4 works11×
← less than its size predictsmore →

Location quotient: how much more of its research is in Robotic Path Planning Algorithms than the world average.

See Robotic Path Planning Algorithms on the map

Where is the best place to study Robotic Path Planning Algorithms?

Among universities, judged by research, Luleå University of Technology, Dalian Maritime University and National University of Defense Technology 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 27.32%fractional works in this node (log) →share in the world top 10% →Luleå University of Technology: 21, 27.6%Dalian Maritime University: 80, 26.1%National University of Defense Technology: 156, 26.4%Beijing Institute of Technology: 232, 18.7%Beihang University: 178, 25.5%Northwestern Polytechnical University: 176, 28.0%Hong Kong University of Science and Technology: 23, 44.1%Nanjing University of Aeronautics and Astronautics: 157, 24.5%Shanghai University of Engineering Science: 35, 22.7%Air Force Engineering University: 46, 29.6%Luleå University of …National University …Dalian Maritime Univ…Beijing 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
1Luleå University of Technology Sweden 66.927.6%11.3×21 +212.5%
2Dalian Maritime University China 64.826.1%13.8×80 +137.2%
3National University of Defense Technology China 63.426.4%12.7×156 +58.1%
4Beijing Institute of Technology China 62.918.7%12.3×232 +57.8%
5Beihang University China 62.825.5%10.2×178 +21.5%
6Northwestern Polytechnical University China 61.828.0%9.7×176 -7.4%
7Hong Kong University of Science and Technology Hong Kong 61.744.1%3.7×23 +353.1%
8Nanjing University of Aeronautics and Astronautics China 61.524.5%11.1×157 +23.7%
9Shanghai University of Engineering Science China 59.422.7%9.1×35 +330.0%
10Air Force Engineering University China 57.429.6%19.7×46 +54.3%

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 Robotic Path Planning Algorithms research growing?

Output in 2018–2022 was 45% higher than in 2013–2017, peaking in 2024. The fastest-growing topics are Robotic Path Planning Algorithms.

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.