World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
47
Citations
8930
World Ranking
1355
National Ranking
540

Electronics and Electrical Engineering

D-Index
47
Citations
8953
World Ranking
3219
National Ranking
1199

Ludovic Righetti publication distribution in Mechanical and Aerospace Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mechanical and Aerospace Engineering in 2026. The highlighted bar marks where Ludovic Righetti sits on this spectrum.

47–56 publications: 10 scientists 57–66 publications: 23 scientists 67–76 publications: 32 scientists 77–86 publications: 62 scientists 87–96 publications: 67 scientists 97–106 publications: 91 scientists 107–116 publications: 113 scientists 117–126 publications: 115 scientists 127–136 publications: 130 scientists 137–146 publications: 140 scientists 147–156 publications: 155 scientists 157–166 publications: 132 scientists 167–176 publications: 133 scientists 177–186 publications: 130 scientists 187–196 publications: 140 scientists 197–206 publications: 115 scientists 207–216 publications: 125 scientists 217–226 publications: 117 scientists 227–236 publications: 99 scientists 237–246 publications: 92 scientists 247–256 publications: 100 scientists 257–266 publications: 95 scientists 267–276 publications: 88 scientists 277–286 publications: 77 scientists 287–296 publications: 74 scientists 297–306 publications: 74 scientists 307–316 publications: 62 scientists 317–326 publications: 70 scientists 327–336 publications: 59 scientists 337–346 publications: 58 scientists 347–356 publications: 45 scientists 357–366 publications: 44 scientists 367–376 publications: 36 scientists 377–386 publications: 41 scientists 387–396 publications: 32 scientists 397–406 publications: 23 scientists 407–416 publications: 28 scientists 417–426 publications: 27 scientists 427–436 publications: 25 scientists 437–446 publications: 23 scientists 447–456 publications: 23 scientists 457–466 publications: 20 scientists 467–476 publications: 12 scientists 477–486 publications: 24 scientists 487–496 publications: 18 scientists 497–506 publications: 12 scientists 507–516 publications: 13 scientists 517–526 publications: 21 scientists 527–536 publications: 12 scientists 537–546 publications: 8 scientists 547–556 publications: 16 scientists 557–566 publications: 3 scientists 567–576 publications: 11 scientists 577–586 publications: 6 scientists 587–596 publications: 5 scientists 597–606 publications: 6 scientists 607–616 publications: 7 scientists 617–626 publications: 7 scientists 627–636 publications: 10 scientists 637–646 publications: 4 scientists 647–656 publications: 3 scientists 657–658 publications: 2 scientists 659+ publications: 100 scientists
47 publications 659+

This scientist: 168 publications — 32nd percentile

32% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 659 publications or more.

Ludovic Righetti D-index placement in Mechanical and Aerospace Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Mechanical and Aerospace Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Ludovic Righetti sits on this spectrum.

30 D-Index: 83 scientists 31 D-Index: 113 scientists 32 D-Index: 144 scientists 33 D-Index: 153 scientists 34 D-Index: 189 scientists 35 D-Index: 158 scientists 36 D-Index: 139 scientists 37 D-Index: 127 scientists 38 D-Index: 130 scientists 39 D-Index: 126 scientists 40 D-Index: 104 scientists 41 D-Index: 100 scientists 42 D-Index: 107 scientists 43 D-Index: 101 scientists 44 D-Index: 103 scientists 45 D-Index: 79 scientists 46 D-Index: 88 scientists 47 D-Index: 70 scientists 48 D-Index: 83 scientists 49 D-Index: 44 scientists 50 D-Index: 64 scientists 51 D-Index: 56 scientists 52 D-Index: 50 scientists 53 D-Index: 48 scientists 54 D-Index: 58 scientists 55 D-Index: 52 scientists 56 D-Index: 48 scientists 57 D-Index: 42 scientists 58 D-Index: 34 scientists 59 D-Index: 42 scientists 60 D-Index: 37 scientists 61 D-Index: 42 scientists 62 D-Index: 44 scientists 63 D-Index: 22 scientists 64 D-Index: 33 scientists 65 D-Index: 29 scientists 66 D-Index: 23 scientists 67 D-Index: 29 scientists 68 D-Index: 24 scientists 69 D-Index: 19 scientists 70 D-Index: 34 scientists 71 D-Index: 26 scientists 72 D-Index: 19 scientists 73 D-Index: 18 scientists 74 D-Index: 19 scientists 75 D-Index: 14 scientists 76 D-Index: 19 scientists 77 D-Index: 8 scientists 78 D-Index: 18 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 17 scientists 82 D-Index: 11 scientists 83 D-Index: 16 scientists 84 D-Index: 7 scientists 85 D-Index: 9 scientists 86 D-Index: 8 scientists 87 D-Index: 6 scientists 88 D-Index: 6 scientists 89 D-Index: 7 scientists 90 D-Index: 10 scientists 91 D-Index: 4 scientists 92 D-Index: 4 scientists 93+ D-Index: 100 scientists
30 D-Index 93+

This scientist: 47 D-Index — 61st percentile

61% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 93 D-Index or more.

Overview

Ludovic Righetti is affiliated with New York University in the United States and works primarily in the field of Engineering. Their research spans several specialized subfields, including Biomedical Engineering, Control and Systems Engineering, Artificial Intelligence, Electrical and Electronic Engineering, and Computer Vision and Pattern Recognition.

The scientist's main research topics cover a range of areas within robotics and control systems. These include:

  • Robotic Locomotion and Control
  • Prosthetics and Rehabilitation Robotics
  • Advanced Control Systems Optimization
  • Reinforcement Learning in Robotics
  • Fault Detection and Control Systems
  • Control Systems and Identification
  • Robot Manipulation and Learning

Righetti has contributed to the scientific community with multiple recent publications. Notable papers include:

  • "On the use of simulation in robotics: Opportunities, challenges, and suggestions for moving forward" (2020) published in Proceedings of the National Academy of Sciences
  • "BiConMP: A Nonlinear Model Predictive Control Framework for Whole Body Motion Planning" (2023) in IEEE Transactions on Robotics
  • "Variable Horizon MPC With Swing Foot Dynamics for Bipedal Walking Control" (2021) in IEEE Robotics and Automation Letters
  • "Robust Walking Based on MPC With Viability Guarantees" (2022) in Institutional Research Information System (Università degli Studi di Trento)
  • "Model-free reinforcement learning for robust locomotion using demonstrations from trajectory optimization" (2022) in Frontiers in Robotics and AI

The scientist frequently publishes in several key venues, with the highest number of papers appearing in arXiv (Cornell University). Other frequent publication outlets include:

  • IEEE Robotics and Automation Letters
  • IEEE Transactions on Robotics
  • Proceedings of the National Academy of Sciences
  • Institutional Research Information System (Università degli Studi di Trento)

Collaborative research is an important aspect of Righetti's work. Their most frequent coauthors are Majid Khadiv, Armand Jordana, Avadesh Meduri, Justin Carpentier, and Andrea Del Prete. These collaborations have contributed to advancements across various robotics and control topics.

Best Publications

  • 2011 IEEE International Conference on Robotics and Automation

    L. Righetti;J. Buchli;Michael Mistry;S. Schaal

  • Dynamic hebbian learning in adaptive frequency oscillators

    Ludovic Righetti;Jonas Buchli;Auke Jan Ijspeert

  • Programmable central pattern generators: an application to biped locomotion control

    L. Righetti;Auke Jan Ijspeert

  • An Open Torque-Controlled Modular Robot Architecture for Legged Locomotion Research

    Felix Grimminger;Avadesh Meduri;Majid Khadiv;Julian Viereck

  • iCub: the design and realization of an open humanoid platform for cognitive and neuroscience research

    Nikolaos G. Tsagarakis;Giorgio Metta;Giulio Sandini;David Vernon

  • Pattern generators with sensory feedback for the control of quadruped locomotion

    L. Righetti;A.J. Ijspeert

  • Momentum control with hierarchical inverse dynamics on a torque-controlled humanoid

    Alexander Herzog;Nicholas Rotella;Sean Mason;Felix Grimminger

  • Crocoddyl: An Efficient and Versatile Framework for Multi-Contact Optimal Control

    Carlos Mastalli;Rohan Budhiraja;Wolfgang Merkt;Guilhem Saurel

  • Online movement adaptation based on previous sensor experiences

    Peter Pastor;Ludovic Righetti;Mrinal Kalakrishnan;Stefan Schaal

  • Optimal distribution of contact forces with inverse-dynamics control

    Ludovic Righetti;Jonas Buchli;Michael Mistry;Mrinal Kalakrishnan

  • Learning force control policies for compliant manipulation

    Mrinal Kalakrishnan;Ludovic Righetti;Peter Pastor;Stefan Schaal

  • Inverse dynamics control of floating-base robots with external constraints: A unified view

    Ludovic Righetti;Jonas Buchli;Michael Mistry;Stefan Schaal

  • Learning objective functions for manipulation

    Mrinal Kalakrishnan;Peter Pastor;Ludovic Righetti;Stefan Schaal

  • Balancing experiments on a torque-controlled humanoid with hierarchical inverse dynamics

    Alexander Herzog;Ludovic Righetti;Felix Grimminger;Peter Pastor

  • Learning of grasp selection based on shape-templates

    Alexander Herzog;Peter Pastor;Mrinal Kalakrishnan;Ludovic Righetti

  • Engineering entrainment and adaptation in limit cycle systems: From biological inspiration to applications in robotics

    Jonas Buchli;Ludovic Righetti;Auke Jan Ijspeert

  • On the use of simulation in robotics: Opportunities, challenges, and suggestions for moving forward.

    Hee Sun Choi;Cindy Crump;Christian Duriez;Asher Elmquist

  • Passive compliant quadruped robot using Central Pattern Generators for locomotion control

    S. Rutishauser;A. Sprowitz;L. Righetti;A.J. Ijspeert

  • Template-based learning of grasp selection

    Alexander Herzog;Peter Pastor;Mrinal Kalakrishnan;Ludovic Righetti

  • Towards Associative Skill Memories

    Peter Pastor;Mrinal Kalakrishnan;Ludovic Righetti;Stefan Schaal

  • Adaptive Frequency Oscillators and Applications

    Ludovic Righetti;Jonas Buchli;Auke Jan Ijspeert

Frequent Co-Authors

Stefan Schaal
Stefan Schaal Google (United States)
Auke Jan Ijspeert
Auke Jan Ijspeert École Polytechnique Fédérale de Lausanne
Jonas Buchli
Jonas Buchli DeepMind (United Kingdom)
S. Ali A. Moosavian
S. Ali A. Moosavian K.N.Toosi University of Technology
Giorgio Metta
Giorgio Metta Italian Institute of Technology
Jeannette Bohg
Jeannette Bohg Stanford University
Darwin G. Caldwell
Darwin G. Caldwell Italian Institute of Technology
Gaurav S. Sukhatme
Gaurav S. Sukhatme University of Southern California
Nicolas Mansard
Nicolas Mansard Laboratory for Analysis and Architecture of Systems
Aude Billard
Aude Billard École Polytechnique Fédérale de Lausanne

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