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Control and Dynamics of Mobile Robots

Control and Dynamics of Mobile Robots is a research topic within Control and Systems Engineering. Science Explorer counts 22k research works in it since 1950. 9.9% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the control and navigation of nonholonomic mobile robots, addressing challenges such as adaptive control, trajectory tracking, nonholonomic constraints, feedback control, dynamic modeling, path planning, sliding mode control, omnidirectional robots, robust stabilization, and the use of neural networks for control.

  • Adaptive Control
  • Trajectory Tracking
  • Nonholonomic Constraints
  • Feedback Control
  • Dynamic Modeling
  • Path Planning
  • Sliding Mode Control
  • Omnidirectional Robots
  • Robust Stabilization
  • Neural Networks
Research works
22k
fractional, since 1950
In the world top 10%
2.1k
per year above
Top-10% rate
9.9%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+21%
the tick is no change
Largest producer
China
60% of the 10 largest, 2022-now
Control and Dynamics of Mobile Robots

Which countries lead Control and Dynamics of Mobile Robots research?

By volume, China and the United States publish the most (2.2k and 299 works in 2022-now).

By volume, 2022-now

  1. 1 China 2.2k works
  2. 2 United States 299 works
  3. 3 India 279 works
  4. 4 Japan 218 works
  5. 5 Russia 179 works
  6. 6 South Korea 119 works
  7. 7 Vietnam 100 works
  8. 8 Mexico 100 works
  9. 9 Germany 80 works
  10. 10 Italy 80 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: 60.3%United States: 8.2%India: 7.6%Japan: 6.0%6 others listed: 18.0%60%largest
China2,209 · 60.3%United States299 · 8.2%India279 · 7.6%Japan218 · 6.0%6 others listed658 · 18.0%

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

Which institutions lead Control and Dynamics of Mobile Robots research?

By volume in 2022-now, Beijing Institute of Technology publishes the most Control and Dynamics of Mobile Robots research, followed by Harbin Institute of Technology and Beihang University.

Who are the leading researchers in Control and Dynamics of Mobile Robots?

The most-cited researchers publishing on Control and Dynamics of Mobile Robots include Xiaogang Wang, Lei Jiang and Paul M. Thompson.

  1. 1 Xiaogang Wang China 260k citations
  2. 2 Lei Jiang China 214k citations
  3. 3 Paul M. Thompson United States 196k citations
  4. 4 Kalyanmoy Deb United States 171k citations
  5. 5 Hao Chen China 118k 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 Control and Dynamics of Mobile Robots?

The most cited paper in Control and Dynamics of Mobile Robots is "A robust layered control system for a mobile robot" (Rodney A. Brooks, 1986), with 7,785 citations. Next come "Higher-order sliding modes, differentiation and output-feedback control" (3,868) and "Flatness and defect of non-linear systems: introductory theory and examples" (3,133).

Most cited papers
#PaperReleasedCitations
1 A robust layered control system for a mobile robot Rodney A. Brooks · IEEE Journal on Robotics and Automation Open access 1986 7,785
2 Higher-order sliding modes, differentiation and output-feedback control Arie Levant · International Journal of Control 2003 3,868
3 Flatness and defect of non-linear systems: introductory theory and examples Michel Fliess, Jean Lévine, Philippe Martin et al. · International Journal of Control Jun 1995 3,133
4 Minimum snap trajectory generation and control for quadrotors Daniel Mellinger, Vijay Kumar Conference paper May 2011 2,396
5 Biped walking pattern generation by using preview control of zero-moment point Shuuji Kajita, Fumio Kanehiro, Kenji Kaneko et al. Conference paper Mar 2004 2,118
All 100 most cited papers, with filters and sorting

Where is Control and Dynamics of Mobile Robots research done?

The largest centres of Control and Dynamics of Mobile Robots research in 2022-now are Beijing (China), Nanjing (China), Shanghai (China) and Harbin (China). Among places with at least 20 works in it, it is an unusually large share of all research in Qinhuangdao, Hanoi and Harbin.

Largest cities, 2022-now

  1. 1 BeijingChina 352 works
  2. 2 NanjingChina 146 works
  3. 3 ShanghaiChina 132 works
  4. 4 HarbinChina 117 works
  5. 5 Xi'anChina 103 works
  6. 6 WuhanChina 89 works
  7. 7 MoscowRussia 80 works
  8. 8 TianjinChina 78 works
  9. 9 TokyoJapan 74 works
  10. 10 HangzhouChina 71 works

Where it is the local speciality

  1. QinhuangdaoCN · 24.9 works13×
  2. HanoiVN · 49.4 works6.2×
  3. HarbinCN · 116.6 works6.1×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Control and Dynamics of Mobile Robots than the world average.

See Control and Dynamics of Mobile Robots on the map

Where is the best place to study Control and Dynamics of Mobile Robots?

Among universities, judged by research, Jiangsu University, Harbin Institute of Technology and Liaoning University of 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 20.89%fractional works in this field (log) →share of work in the world top 10% →Jiangsu UniversityLiaoning University …Harbin Institute of …Beijing Institute of…
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.

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
1Jiangsu UniversityChina 72.936.5%6.9×23 +182.5%
2Harbin Institute of TechnologyChina 72.819.8%10.1×70 +27.3%
3Liaoning University of TechnologyChina 67.331.4%45.6×14 +313.7%
4Beijing Institute of TechnologyChina 65.911.0%14.5×72 +26.8%
5Northeastern UniversityChina 64.524.2%7.5×28 +56.4%
6Northwestern Polytechnical UniversityChina 62.714.5%9.2×44 +32.3%
7Beihang UniversityChina 60.413.7%11.4×53 +2.9%
8Zhejiang UniversityChina 60.224.4%2.4×27 +129.2%
9Dalian Maritime UniversityChina 58.823.3%19.8×30 -25.6%
10Nanjing University of Aeronautics and AstronauticsChina 57.610.1%12.1×45 +59.9%

Universities only. The score blends 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 Control and Dynamics of Mobile Robots, country by country

Is Control and Dynamics of Mobile Robots research growing?

Output in 2022-2025 was 21% higher than in 2018-2021, peaking in 2025. The fastest-growing topics are Control and Dynamics of Mobile Robots.

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 Control and Dynamics of Mobile Robots as a percentage of every work published that year, 0.021% in 2024.

still counting0.020%0.040%0.060%Control and Dynamics of Mobile Robots0.023% in 202519801990200020102020

Fractional works of Control and Dynamics of Mobile Robots 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%Control and Dynamics of Mobile Robots9.9% 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.

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