Todorov, Emanuel

MuJoCo: A physics engine for model-based control

Todorov, E., Erez, T., & Tassa, Y. (2012) · 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems

Dynamics and Control of Mechanical SystemsRobotic Locomotion and Control

Cited by 4,767

Optimal feedback control as a theory of motor coordination

Todorov, E., & Jordan, M. I. (2002) · Nature Neuroscience

Motor Control and AdaptationMuscle activation and electromyography studies

Cited by 3,081

Optimality principles in sensorimotor control

Todorov, E. (2004) · Nature Neuroscience

Motor Control and AdaptationEmbodied and Extended Cognition

Cited by 1,746

Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations

Rajeswaran, A., Kumar, V., Gupta, A., Vezzani, G., Schulman, J., Todorov, E., & Levine, S. (2018) · Robotics: Science and Systems XIV

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 847

Evidence for the Flexible Sensorimotor Strategies Predicted by Optimal Feedback Control

Liu, D., & Todorov, E. (2007) · The Journal of Neuroscience

Motor Control and AdaptationEmbodied and Extended Cognition

Cited by 447

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

Todorov, E. (2000) · Nature Neuroscience

Motor Control and AdaptationMuscle activation and electromyography studies

Cited by 439

Efficient computation of optimal actions

Todorov, E. (2009) · Proceedings of the National Academy of Sciences

Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control

Cited by 417

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

Todorov, E., Shadmehr, R., & Bizzi, E. (1997) · Journal of Motor Behavior

Motor Control and AdaptationSport Psychology and Performance

Cited by 314

General duality between optimal control and estimation

Todorov, E. (2008) · 2008 47th IEEE Conference on Decision and Control

Target Tracking and Data Fusion in Sensor NetworksControl Systems and Identification

Cited by 248

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

Todorov, E., & Jordan, M. I. (1998) · Journal of Neurophysiology

Motor Control and AdaptationHuman Motion and Animation

Cited by 241

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

Valero-Cuevas, F. J., Venkadesan, M., & Todorov, E. (2009) · Journal of Neurophysiology

Motor Control and AdaptationMuscle activation and electromyography studies

Cited by 218

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

Mordatch, I., Lowrey, K., & Todorov, E. (2015) · 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Robotic Locomotion and ControlHuman Motion and Animation

Cited by 135

Virtual Environment Training Improves Motor Performance in Two Patients with Stroke: Case Report

Holden, M., Todorov, E., Callahan, J., & Bizzi, E. (1999) · Neurology Report

Stroke Rehabilitation and RecoveryMotor Control and Adaptation

Cited by 117

MuJoCo HAPTIX: A virtual reality system for hand manipulation

Kumar, V., & Todorov, E. (2015) · 2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids)

Teleoperation and Haptic SystemsMotor Control and Adaptation

Cited by 102

Towards Generalization and Simplicity in Continuous Control

Rajeswaran, A., Lowrey, K., Todorov, E., & Kakade, S. (2017) · arXiv

Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control

Cited by 94

Infinite-Horizon Model Predictive Control for Periodic Tasks with Contacts

Erez, T., Tassa, Y., & Todorov, E. (2011) · Robotics: Science and Systems VII

Advanced Control Systems OptimizationRobotic Locomotion and Control

Cited by 61

Infinite-Horizon Model Predictive Control for Periodic Tasks with Contacts

Erez, T., Tassa, Y., & Todorov, E. (2012) · Robotics

Advanced Control Systems OptimizationRobotic Locomotion and Control

Cited by 36