World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
47
Citations
8930
World Ranking
1354
National Ranking
539

Electronics and Electrical Engineering

D-Index
47
Citations
8953
World Ranking
3219
National Ranking
1198

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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