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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. 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. 1 China 8.2k works
  2. 2 United States 1.7k works
  3. 3 India 1k works
  4. 4 Japan 669 works
  5. 5 Germany 478 works
  6. 6 South Korea 437 works
  7. 7 United Kingdom 349 works
  8. 8 Italy 339 works
  9. 9 Russia 296 works
  10. 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.

China: 59.6%United States: 12.5%India: 7.4%Japan: 4.8%6 others listed: 15.6%60%largest
China8,215 · 59.6%United States1,729 · 12.5%India1,025 · 7.4%Japan669 · 4.8%6 others listed2,157 · 15.6%

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.

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. 1 Xiangyu Zhang 327k citations
  2. 2 Xiaogang Wang China 260k citations
  3. 3 Yann LeCun United States 256k citations
  4. 4 Andrew Zisserman United Kingdom 255k citations
  5. 5 Li Fei-Fei United States 225k citations
  6. 6 Kai You Wang China 224k citations
  7. 7 Trevor J. Darrell United States 206k citations
  8. 8 Paul M. Thompson United States 196k citations
  9. 9 Jürgen Schmidhuber Switzerland 188k citations
  10. 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.

What are the most cited papers in Robotic Path Planning Algorithms?

The most cited paper in Robotic Path Planning Algorithms is "The Whale Optimization Algorithm" (Seyedali Mirjalili, Andrew W. Lewis, 2016), with 14,627 citations. Next come "Probabilistic robotics" (8,102) and "A robust layered control system for a mobile robot" (7,785).

Most cited papers
#PaperReleasedCitations
1 The Whale Optimization Algorithm Seyedali Mirjalili, Andrew W. Lewis · Advances in Engineering Software 26 Feb 2016 14,627
2 Probabilistic robotics Sebastian Thrun · Communications of the ACM Mar 2002 8,102
3 A robust layered control system for a mobile robot Rodney A. Brooks · IEEE Journal on Robotics and Automation Open access 1986 7,785
4 Real-Time Obstacle Avoidance for Manipulators and Mobile Robots Oussama Khatib · The International Journal of Robotics Research Mar 1986 7,738
5 ROS: an open-source Robot Operating System Morgan Quigley · International Conference on Robotics and Automation Conference paper 2009 7,166
All 98 most cited papers, with filters and sorting

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

  1. 1 BeijingChina 1.4k works
  2. 2 ShanghaiChina 594 works
  3. 3 NanjingChina 519 works
  4. 4 Xi'anChina 505 works
  5. 5 WuhanChina 410 works
  6. 6 HarbinChina 346 works
  7. 7 ChangshaChina 284 works
  8. 8 HangzhouChina 270 works
  9. 9 TianjinChina 270 works
  10. 10 GuangzhouChina 262 works

Where it is the local speciality

  1. CranfieldGB · 29.3 works13×
  2. LuleåSE · 22.4 works10×
← less than its size predicts1×more →

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, 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.

0%20%40%mean 19.27%fractional works in this field (log) →share of work in the world top 10% →Hong Kong University…University of Hong K…Northwestern Polytec…Beihang University
above the meannear itbelow it

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.

Citation excellenceshare of its work in the world top 10%, 2022-now and all time averaged
40%
Specialisationhow much of its work is in this field, counted up to 10× the world share
10%
Sizeits output in this field, on a log scale
30%
Growthoutput growth, counted from -20% to +20%
10%
Internationalshare of its work with a co-author abroad
10%
Each slider sets a weight; the share it gets of the score is beside it.
#UniversityScoreTop 10%SpecialisationWorksGrowth
1Hong Kong University of Science and TechnologyChina 69.530.2%4.0×25 +108.8%
2Northwestern Polytechnical UniversityChina 64.615.3%10.7×185 +99.7%
3University of Hong KongChina 64.629.0%1.9×28 +209.9%
4Beihang UniversityChina 64.513.3%11.6×193 +54.8%
5Dalian Maritime UniversityChina 62.717.9%16.3×90 +146.9%
6Beijing Institute of TechnologyChina 62.59.5%13.8×246 +108.3%
7Hong Kong Polytechnic UniversityChina 61.520.6%2.8×36 +259.8%
8ETH ZurichSwitzerland 61.529.6%2.4×25 -26.6%
9Harbin Engineering UniversityChina 60.616.1%14.6×114 +65.9%
10Nanjing University of Aeronautics and AstronauticsChina 60.211.2%12.9×173 +139.3%

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 country

Is 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.

still counting19801990200020102020
grewheldshrank

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.

still counting0.050%0.10%0.15%Robotic Path Planning Algorithms0.082% in 202519801990200020102020

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.

still counting5%10%15%Robotic Path Planning Algorithms9.6% in 2025200020102020

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).

All 1,273 questions in the Question Catalogue

Discussion

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