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Engineering and Technology

D-Index
59
Citations
25704
World Ranking
2277
National Ranking
711

Research.com Recognitions

  • 2004 - Fellow of Alfred P. Sloan Foundation

Overview

Emanuel Todorov is affiliated with the University of Washington in the United States. Their research work is primarily within the field of Computer Science, with a focus on several subfields including Computational Theory and Mathematics, Artificial Intelligence, Control and Systems Engineering, and Numerical Analysis.

Their publications frequently appear in the venue arXiv (Cornell University), with multiple papers released in recent years. Notable recent papers include:

  • Lyceum: An efficient and scalable ecosystem for robot learning (2020, arXiv (Cornell University))
  • Computing the Newton-step faster than Hessian accumulation (2021, arXiv (Cornell University))

Todorov's research topics span across Reinforcement Learning in Robotics, Advanced Control Systems Optimization, Formal Methods in Verification, Advanced Optimization Algorithms Research, Numerical Methods and Algorithms, and Complexity and Algorithms in Graphs.

  • Reinforcement Learning in Robotics
  • Advanced Control Systems Optimization
  • Formal Methods in Verification
  • Advanced Optimization Algorithms Research
  • Numerical Methods and Algorithms
  • Complexity and Algorithms in Graphs

The scientist has collaborated with multiple frequent coauthors, including:

  • Colin Summers
  • Kendall Lowrey
  • Aravind Rajeswaran
  • Siddhartha S Srinivasa
  • Akshay Srinivasan

In 2004, Emanuel Todorov was recognized as a Fellow of the Alfred P. Sloan Foundation, an award that marks a significant point in their career.

Best Publications

  • MuJoCo: A physics engine for model-based control

    Emanuel Todorov;Tom Erez;Yuval Tassa

  • Optimal feedback control as a theory of motor coordination.

    Emanuel Todorov;Michael I. Jordan

  • Optimality principles in sensorimotor control

    Emanuel Todorov

  • Synthesis and stabilization of complex behaviors through online trajectory optimization

    Yuval Tassa;Tom Erez;Emanuel Todorov

  • Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations

    Aravind Rajeswaran;Vikash Kumar;Abhishek Gupta;Giulia Vezzani

  • A generalized iterative LQG method for locally-optimal feedback control of constrained nonlinear stochastic systems

    E. Todorov;Weiwei Li

  • Iterative Linear Quadratic Regulator Design for Nonlinear Biological Movement Systems

    Weiwei Li;Emanuel Todorov

  • Discovery of complex behaviors through contact-invariant optimization

    Igor Mordatch;Emanuel Todorov;Zoran Popović

  • Direct cortical control of muscle activation in voluntary arm movements: a model.

    Emanuel Todorov

  • Evidence for the Flexible Sensorimotor Strategies Predicted by Optimal Feedback Control

    Dan Liu;Emanuel Todorov

  • Efficient computation of optimal actions

    Emanuel Todorov

  • Stochastic Optimal Control and Estimation Methods Adapted to the Noise Characteristics of the Sensorimotor System

    Emanuel Todorov

  • Linearly-solvable Markov decision problems

    Emanuel Todorov

  • Augmented Feedback Presented in a Virtual Environment Accelerates Learning of a Difficult Motor Task.

    Emanuel Todorov;Reza Shadmehr;Emilio Bizzi

  • Simulation tools for model-based robotics: Comparison of Bullet, Havok, MuJoCo, ODE and PhysX

    Tom Erez;Yuval Tassa;Emanuel Todorov

  • Smoothness Maximization Along a Predefined Path Accurately Predicts the Speed Profiles of Complex Arm Movements

    Emanuel Todorov;Michael I. Jordan

  • General duality between optimal control and estimation

    E. Todorov

  • Design of a highly biomimetic anthropomorphic robotic hand towards artificial limb regeneration

    Zhe Xu;Emanuel Todorov

  • Structured Variability of Muscle Activations Supports the Minimal Intervention Principle of Motor Control

    Francisco J. Valero-Cuevas;Madhusudhan Venkadesan;Emanuel Todorov

  • Optimal Control Theory

    Emanuel Todorov

Frequent Co-Authors

Yuval Tassa
Yuval Tassa Google (United States)
Vikash Kumar
Vikash Kumar University of Washington
Igor Mordatch
Igor Mordatch Google (United States)
Zoubin Ghahramani
Zoubin Ghahramani University of Cambridge
Evangelos A. Theodorou
Evangelos A. Theodorou Georgia Institute of Technology
David C. Somers
David C. Somers Boston University
Sergey Levine
Sergey Levine University of California, Berkeley
Sham M. Kakade
Sham M. Kakade Harvard University
Robert E. Skelton
Robert E. Skelton Texas A&M University

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