World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
49
Citations
24927
World Ranking
2875
National Ranking
1086

Seth Hutchinson publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Seth Hutchinson sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 259 publications — 47th percentile

47% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Seth Hutchinson D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Seth Hutchinson sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 49 D-Index — 58th percentile

58% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Research.com Recognitions

  • 2007 - IEEE Fellow For contributions to visual servo control and robot motion planning

Overview

Seth Hutchinson is affiliated with the Georgia Institute of Technology in the United States. Their research spans widely across engineering and computer science, with primary expertise in control systems, robotics, and artificial intelligence.

Their work focuses on several main topics related to robotics, including:

  • Robotic Path Planning Algorithms
  • Robotic Locomotion and Control
  • Robot Manipulation and Learning
  • Reinforcement Learning in Robotics
  • Robotics and Sensor-Based Localization
  • Robotic Mechanisms and Dynamics
  • Guidance and Control Systems

Hutchinson's subfields of specialization include Control and Systems Engineering, Computer Vision and Pattern Recognition, Biomedical Engineering, Aerospace Engineering, and Artificial Intelligence.

The scientist has published extensively in prominent venues, notable among them:

  • arXiv (Cornell University)
  • IEEE Transactions on Automation Science and Engineering
  • IEEE Transactions on Medical Robotics and Bionics
  • IEEE Robotics & Automation Magazine
  • IEEE Robotics and Automation Letters

Frequent collaborators of Hutchinson include Nancy M. Amato, Venkat Krovi, Torsten Kroeger, Robert Ambrose, and Stefano Stramigioli.

Selected recent publications illustrate the range and focus of their research:

  • "A Roadmap for US Robotics - From Internet to Robotics 2020 Edition" (2021), published in Foundations and Trends in Robotics
  • "Learning Generalizable Vision-Tactile Robotic Grasping Strategy for Deformable Objects via Transformer" (2024), IEEE/ASME Transactions on Mechatronics
  • "Exponential Control Lyapunov-Barrier Function Using a Filtering-Based Concurrent Learning Adaptive Approach" (2021), IEEE Transactions on Automatic Control
  • "GRSTAPS: Graphically Recursive Simultaneous Task Allocation, Planning, and Scheduling" (2021), The International Journal of Robotics Research
  • "Momentum-Aware Trajectory Optimization and Control for Agile Quadrupedal Locomotion" (2022), IEEE Robotics and Automation Letters

Hutchinson has contributed to academic publishing beyond journal articles, including a book titled Algorithmic Foundations of Robotics XIII (2020), published by Springer International Publishing.

Throughout their career, Hutchinson has been recognized for contributions to visual servo control and robot motion planning. This recognition includes being named an IEEE Fellow in 2007.

Best Publications

  • Robot Modeling and Control

    Mark W. Spong;Seth Hutchinson;M. Vidyasagar

  • A tutorial on visual servo control

    S. Hutchinson;G.D. Hager;P.I. Corke

  • Visual servo control. I. Basic approaches

    F. Chaumette;S. Hutchinson

  • Visual servo control. II. Advanced approaches [Tutorial]

    F. Chaumette;S. Hutchinson

  • A new partitioned approach to image-based visual servo control

    P.I. Corke;S.A. Hutchinson

  • Optimal motion planning for multiple robots having independent goals

    S.M. LaValle;S.A. Hutchinson

  • Planning sensing strategies in a robot work cell with multi-sensor capabilities

    S.A. Hutchinson;R.L. Cromwell;A.C. Kak

  • A biomimetic robotic platform to study flight specializations of bats

    Alireza Ramezani;Soon Jo Chung;Seth Hutchinson

  • Stable Visual Servoing Through Hybrid Switched-System Control

    N.R. Gans;S.A. Hutchinson

  • Visual compliance: task-directed visual servo control

    A. Castano;S. Hutchinson

  • A framework for real-time path planning in changing environments

    Seth Hutchinson;Peter J. Leven

  • Visual servoing and visual tracking

    François Chaumette;Seth Hutchinson

  • Estimating uncertainty in SSD-based feature tracking

    Kevin Nickels;Seth Hutchinson

  • Coordinating the motions of multiple robots with specified trajectories

    S. Akella;S. Hutchinson

  • Path planning for permutation-invariant multirobot formations

    S. Kloder;S. Hutchinson

  • Optimal Paths for Landmark-Based Navigation by Differential-Drive Vehicles With Field-of-View Constraints

    S. Bhattacharya;R. Murrieta-Cid;S. Hutchinson

  • Planning exploration strategies for simultaneous localization and mapping

    Benjamín Tovar;Lourdes Muñoz-Gómez;Rafael Murrieta-Cid;Moisés Alencastre-Miranda

  • Real-time vision, tracking and control

    P.I. Corke;S.A. Hutchinson

  • Homography-Based Control Scheme for Mobile Robots With Nonholonomic and Field-of-View Constraints

    Gonzalo López-Nicolás;Nicholas R Gans;Sourabh Bhattacharya;Carlos Sagüés

  • On the Existence of Nash Equilibrium for a Two-player Pursuit-Evasion Game with Visibility Constraints

    Sourabh Bhattacharya;Seth Hutchinson

  • Principles of Robot Motion: Theory, Algorithms, and Implementation ERRATA!!!! 1

    Howie Choset;Kevin Lynch;Seth Hutchinson;George Kantor

Frequent Co-Authors

Soon-Jo Chung
Soon-Jo Chung California Institute of Technology
Steven M. LaValle
Steven M. LaValle University of Oulu
Peter Corke
Peter Corke Queensland University of Technology
Magnus Egerstedt
Magnus Egerstedt University of North Carolina at Chapel Hill
Avinash C. Kak
Avinash C. Kak Purdue University West Lafayette
Mark W. Spong
Mark W. Spong The University of Texas at Dallas
Jean-Paul Laumond
Jean-Paul Laumond École Normale Supérieure
Timothy Bretl
Timothy Bretl University of Illinois at Urbana-Champaign
François Chaumette
François Chaumette University of Rennes
Ken Goldberg
Ken Goldberg University of California, Berkeley

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Related Online Degrees & Career Pathways

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Finally, competency-based master's programs provide flexible, skills-focused learning that can be tailored to individual career goals. This approach benefits engineers seeking targeted expertise to enhance their professional growth.

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