World's Best Scientists 2026 revealed!
Russ Tedrake

Russ Tedrake

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
74
Citations
19112
World Ranking
724
National Ranking
322

Russ Tedrake 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 Russ Tedrake 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: 202 publications — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Russ Tedrake 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 Russ Tedrake 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: 74 D-Index — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Overview

Russ Tedrake is affiliated with MIT in the United States. Their research primarily spans the fields of Computer Science and Engineering, with significant contributions to several subfields such as Control and Systems Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, and Computer Graphics and Computer-Aided Design.

The scientist's main topics of research include:

  • Robotic Path Planning Algorithms
  • Robot Manipulation and Learning
  • Reinforcement Learning in Robotics
  • Robotic Mechanisms and Dynamics
  • Computational Geometry and Mesh Generation
  • Robotics and Sensor-Based Localization
  • Robotic Locomotion and Control

Russ Tedrake has published extensively in well-known venues, including a large number of papers on arXiv (Cornell University) as well as contributions to IEEE Robotics and Automation Letters, The International Journal of Robotics Research, Science Robotics, and IEEE Transactions on Robotics.

Recent publications authored or co-authored by Tedrake include:

  • Diffusion policy: Visuomotor policy learning via action diffusion (2024) - The International Journal of Robotics Research
  • Motion planning around obstacles with convex optimization (2023) - Science Robotics
  • Global Planning for Contact-Rich Manipulation via Local Smoothing of Quasi-Dynamic Contact Models (2023) - IEEE Transactions on Robotics
  • kPAM 2.0: Feedback Control for Category-Level Robotic Manipulation (2021) - IEEE Robotics and Automation Letters
  • Shortest Paths in Graphs of Convex Sets (2024) - SIAM Journal on Optimization

Frequent collaborators who have co-authored multiple publications with Russ Tedrake include Alexandre Amice, Tobia Marcucci, H. J. Terry Suh, Hongkai Dai, and Max Simchowitz.

Russ Tedrake's work covers broad aspects of robotics, combining advanced mathematical methods with system-level control and learning techniques. Their research outputs reflect interplay between theoretical developments and applications in robotic manipulation, path planning, and optimization under complex constraints.

Best Publications

  • Efficient bipedal robots based on passive-dynamic walkers.

    Steve Collins;Andy Ruina;Russ Tedrake;Martijn Wisse

  • Optimization-based locomotion planning, estimation, and control design for the atlas humanoid robot

    Scott Kuindersma;Robin Deits;Maurice Fallon;Andrés Valenzuela

  • A direct method for trajectory optimization of rigid bodies through contact

    Michael Posa;Cecilia Cantu;Russ Tedrake

  • LQR-trees: Feedback Motion Planning via Sums-of-Squares Verification

    Russ Tedrake;Ian R. Manchester;Mark Tobenkin;John W. Roberts

  • Evaluating Robustness of Neural Networks with Mixed Integer Programming

    Vincent Tjeng;Kai Yuanqing Xiao;Russ Tedrake

  • Whole-body motion planning with centroidal dynamics and full kinematics

    Hongkai Dai;Andres Valenzuela;Russ Tedrake

  • Belief space planning assuming maximum likelihood observations

    Robert Platt;Russell Louis Tedrake;Leslie P. Kaelbling;Tomas Lozano-Perez

  • Stochastic policy gradient reinforcement learning on a simple 3D biped

    R. Tedrake;T.W. Zhang;H.S. Seung

  • Funnel libraries for real-time robust feedback motion planning:

    Anirudha Majumdar;Russell L Tedrake

  • Footstep planning on uneven terrain with mixed-integer convex optimization

    Robin Deits;Russ Tedrake

  • Dynamics and trajectory optimization for a soft spatial fluidic elastomer manipulator

    Andrew D. Marchese;Russ Tedrake;Daniela Rus

  • Actuating a simple 3D passive dynamic walker

    R. Tedrake;T.W. Zhang;Ming-fai Fong;H.S. Seung

  • Velocity-Based Stability Margins for Fast Bipedal Walking

    J.E. Pratt;R. Tedrake

  • Stable dynamic walking over uneven terrain

    Ian R Manchester;Uwe Mettin;Fumiya Iida;Russ Tedrake

  • An efficiently solvable quadratic program for stabilizing dynamic locomotion

    Scott Kuindersma;Frank Noble Permenter;Russell Louis Tedrake

  • Computing Large Convex Regions of Obstacle-Free Space Through Semidefinite Programming

    Robin Deits;Russ Tedrake

  • LQR-Trees: Feedback motion planning on sparse randomized trees

    Russell Louis Tedrake

  • Efficient mixed-integer planning for UAVs in cluttered environments

    Robin Deits;Russ Tedrake

  • Experiments in Fixed-Wing UAV Perching

    Rick Cory;Russ Tedrake

  • kPAM: KeyPoint Affordances for Category-Level Robotic Manipulation.

    Lucas Manuelli;Wei Gao;Peter R. Florence;Russ Tedrake

  • Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids

    Yunzhu Li;Jiajun Wu;Russ Tedrake;Joshua B. Tenenbaum

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