Emanuel Todorov

Active 1994–2021

93
Papers
19,936
Citations
46
h-index
75
i10-index

Citations

Citations per year for Emanuel Todorov1980: 1 citations1981: 1 citations1983: 1 citations1989: 1 citations1994: 1 citations1996: 1 citations1997: 3 citations1998: 5 citations1999: 2 citations2000: 10 citations2001: 13 citations2002: 29 citations2003: 37 citations2004: 67 citations2005: 83 citations2006: 91 citations2007: 128 citations2008: 154 citations2009: 206 citations2010: 181 citations2011: 267 citations2012: 277 citations2013: 281 citations2014: 343 citations2015: 338 citations2016: 466 citations2017: 509 citations2018: 719 citations2019: 966 citations2020: 1,333 citations2021: 1,415 citations2022: 1,008 citations2023: 1,064 citations2024: 1,165 citations2025: 1,156 citations2026: 298 citations2027: 1 citations1982: no citations, so this year is not shown1984–1988: no citations, so these years are not shown1990–1993: no citations, so these years are not shown1995: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 3,587 citing papers, 31.7% of this breakdownChina: 1,209 citing papers, 10.7% of this breakdownUnited Kingdom: 937 citing papers, 8.3% of this breakdownGermany: 828 citing papers, 7.3% of this breakdownJapan: 561 citing papers, 5% of this breakdownCanada: 541 citing papers, 4.8% of this breakdownFrance: 451 citing papers, 4% of this breakdownItaly: 400 citing papers, 3.5% of this breakdownSwitzerland: 354 citing papers, 3.1% of this breakdownSouth Korea: 306 citing papers, 2.7% of this breakdownNetherlands: 193 citing papers, 1.7% of this breakdownAustralia: 166 citing papers, 1.5% of this breakdown
0%31.7%Other 15.7%

Fields

  • Computer Science39.3%
  • Engineering34.2%
  • Neuroscience15.8%
  • Psychology2.2%
  • Medicine2.2%
  • Physics and Astronomy1.3%
  • Other5%

Topics

  • Reinforcement Learning in Robotics11.5%
  • Robot Manipulation and Learning7.6%
  • Motor Control and Adaptation5.2%
  • Muscle activation and electromyography studies4.1%
  • Robotic Locomotion and Control3.4%
  • Robotic Path Planning Algorithms2.7%
  • Other65.5%

Coauthors

All papers

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  1. MuJoCo: A physics engine for model-based control

    Authors: , , - IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2012 cited by 4,439

  2. Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations

    Authors: , , , , , - CoRR 2017 cited by 456

  3. Synthesis and stabilization of complex behaviors through online trajectory optimization

    Authors: , , - IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2012 cited by 761

  4. Optimal feedback control as a theory of motor coordination

    Authors: , - Nature Neuroscience 2002 cited by 3,134

  5. Optimality principles in sensorimotor control

    Authors: - Nature Neuroscience 2004 cited by 1,785

  6. Discovery of complex behaviors through contact-invariant optimization

    Authors: , , - ACM Transactions on Graphics, ACM Trans. Graph. 2012 cited by 454

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

    Authors: , , - IEEE International Conference on Robotics and Automation (ICRA) 2015 cited by 314

  8. Efficient computation of optimal actions

    Authors: - National Academy of Sciences, Proc. Natl. Acad. Sci. USA 2009 cited by 435

  9. Plan Online, Learn Offline: Efficient Learning and Exploration via Model-Based Control

    Authors: , , , , - ICLR (Poster) 2019 cited by 268

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

    Authors: , - 2005, American Control Conference, ACC 2005 cited by 639

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

    Authors: , - IEEE International Conference on Robotics and Automation (ICRA) 2016 cited by 235

  12. Optimal control with learned local models: Application to dexterous manipulation

    Authors: , , - IEEE International Conference on Robotics and Automation (ICRA) 2016 cited by 216

  13. Whole-body model-predictive control applied to the HRP-2 humanoid

    Authors: , , , , , , - IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2015 cited by 229

  14. General duality between optimal control and estimation

    Authors: - 47th IEEE Conference on Decision and Control, CDC 2008 cited by 253

  15. MuJoCo HAPTIX: A virtual reality system for hand manipulation

    Authors: , - IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids) 2015 cited by 107

  16. Linearly-solvable Markov decision problems

    Authors: - The MIT Press eBooks, NIPS 2006 cited by 555

  17. Convex and analytically-invertible dynamics with contacts and constraints: Theory and implementation in MuJoCo

    Authors: - IEEE International Conference on Robotics and Automation (ICRA) 2014 cited by 129

  18. Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations

    Authors: , , , , , , - Robotics: Science and Systems XIV 2018 cited by 142

  19. Relative entropy and free energy dualities: Connections to Path Integral and KL control

    Authors: , - IEEE 51st IEEE Conference on Decision and Control (CDC) 2012 cited by 115

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

    Authors: - Neural Computation, Neural Comput. 2005 cited by 423

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

    Authors: , , - Journal of Motor Behavior 1997 cited by 314

  22. Iterative linearization methods for approximately optimal control and estimation of non-linear stochastic system

    Authors: , - International Journal of Control, Int. J. Control 2007 cited by 179

  23. Ensemble-CIO: Full-body dynamic motion planning that transfers to physical humanoids

    Authors: , , - IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2015 cited by 145

  24. Real-time behaviour synthesis for dynamic hand-manipulation

    Authors: , , , - IEEE International Conference on Robotics and Automation (ICRA) 2014 cited by 65