- Abstract--In this paper, we introduce a novel neural network architecture for motor control. Our general framework employs
- Learning and optimization of novel sensorimotor feedback loops: Internal models meet classical conditioning
- Emanuel Todorov todorov@cs.washington.edu
- Theory and Implementation Biomimetic Motor Controllers
- Complex object manipulation with hierarchical optimal control Alex Simpkins and Emanuel Todorov
- In Handbook of Virtual Environments: Design, Implementation, and Applications chap 49, pp 999-1026, Stanney (ed), Lawrence Erlbaum Associates (2002)
- Towards an Integrated System for Estimating Multi-joint Movement from Diverse Sensor Data
- Inverse Optimality Design for Biological Movement Systems
- A Model of Recurrent Interactions in Primary Visual Cortex
- Abstract--Optimal control theory plays a key role in the study of biological movement. Further progress requires optimal
- Aggregation Methods for Lineary-solvable Markov Decision Process
- Efficient computation of optimal actions Supplementary notes
- Revision of JN-RM-3106-07 Recurrent neural networks trained in the presence of noise
- Linearly-solvable Markov decision problems Emanuel Todorov
- e-mail: wwli@mechanics.ucsd.edu Robert E. Skelton
- Inverse dynamics optimal control for domains with contacts Tom Erez and Emanuel Todorov
- Linearly Solvable Markov Games Krishnamurthy Dvijotham dvij@cs.washington.edu
- MuJoCo: A physics engine for model-based control Emanuel Todorov, Tom Erez and Yuval Tassa
- Finding the Most Likely Trajectories of Optimally-Controlled Stochastic Systems
- Adaptation on Demand Dan Liu (corresponding author)
- UNIVERSITY OF CALIFORNIA, SAN DIEGO Computational and Psychophysical Studies of Goal-Directed Arm Movements
- Design and Analysis of an Artificial Finger Joint for Anthropomorphic Robotic Hands
- Modular bio-mimetic robots that can interact with the world the way Alex Simpkins, Michael S. Kelley, and Emanuel Todorov
- A convex, smooth and invertible contact model for trajectory optimization Emanuel Todorov
- Policy gradient methods with model predictive control applied to ball bouncing
- High-Order Local Dynamic Programming Yuval Tassa
- Policy gradients in linearly-solvable MDPs Emanuel Todorov
- Position Estimation and Control of Compact BLDC Motors Based on Analog Linear Hall Effect Sensors
- Compositionality of optimal control laws Emanuel Todorov
- Hierarchical Optimal Control of a 7-DOF Arm Model Dan Liu and Emanuel Todorov
- Iterative Local Dynamic Programming Emanuel Todorov and Yuval Tassa
- General duality between optimal control and estimation Emanuel Todorov
- Optimal trade-off between exploration and exploitation Alex Simpkins, Raymond de Callafon, and Emanuel Todorov
- In Proceedings of the International Conference on Development and Learning 2006 Imitation learning for reaching and grasping in virtual environments
- Hierarchical Feedback and Learning for Multi-joint Arm Movement Control
- Estimation and Control of Systems with Multiplicative Noise via Linear Matrix Inequalities
- Abstract--The search for motor primitives has captured the attention of researches in both biological and computational
- ARTICLE Communicated by Philip Sabes Cosine Tuning Minimizes Motor Errors
- nature neuroscience volume 3 no 10 october 2000 963 TO THE EDITOR--In a recent paper in
- Modeling Visual Cortical Contrast Adaptation E ects E.V. Todorov1, A.G. Siapas1, D. C. Somers1, and S. B. Nelson2
- A Local Circuit Integration Approach to Understanding Visual Cortical Receptive Fields
- HIERARCHICAL OPTIMAL CONTROL OF REDUNDANT BIOMECHANICAL SYSTEMS , Emanuel Todorov2
- Stochastic Complementarity for Local Control of Discontinuous Dynamics
- UNIVERSITY OF CALIFORNIA, SAN DIEGO Exploratory studies of human sensorimotor learning with
- Optimal Limit-Cycle Control recast as Bayesian Inference
- Development of Clinician-Friendly Software for Musculoskeletal Modeling and Control
- Structured Variability of Muscle Activations Supports the Minimal Intervention Principle of Motor Control
- Neuromuscular Stochastic Optimal Control of a Tendon Driven Index Finger Model
- Infinite-Horizon Model Predictive Control for Periodic Tasks with Contacts
- An Iterative Optimal Control and Estimation Design for Nonlinear Stochastic System
- LETTER Communicated by Tamar Flash Stochastic Optimal Control and Estimation Methods Adapted
- A Minimal Intervention Principle for Coordinated Movement
- Moving Least-squares Approximations for Linearly-solvable MDP
- In Progress in Motor Control III, chap 6, pp 125-166, Latash and Levin (eds), Human Kinetics (2003) On the role of primary motor cortex in arm movement control
- IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, VOL. 54, NO. 11, NOVEMBER 2007 1927 Probabilistic Inference of Multijoint Movements,
- A Biomechanical Model of the Partially Paralyzed Human Arm Rahman Davoodi, Ian E. Brown, Emanuel Todorov, and Gerald E. Loeb
- Stochastic Differential Dynamic Programming Evangelos Theodorou, Yuval Tassa & Emo Todorov
- UNIVERSITY OF CALIFORNIA, SAN DIEGO Optimal Control for Biological Movement Systems
- Parallels between sensory and motor information processing Emanuel Todorov
- Practical numerical methods for stochastic optimal control of biological systems in continuous time and space
- International Journal of Control Vol. 80, No. 9, September 2007, 14391453
- A Unifying Framework for Linearly Solvable Control Krishnamurthy Dvijotham
- J Control Theory Appl 2011 9 (3) 451463 DOI 10.1007/s11768-011-0275-0
- Design and Modeling of an Anthropomorphic Robotic Finger with Biomimetic Artificial Joints
- Reduced Dimensionality Control for the ACT Hand Mark Malhotra, Eric Rombokas, Evangelos Theodorou, Emanuel Todorov, and Yoky Matsuoka
- Tendon-Driven Control of Biomechanical and Robotic Systems: A Path Integral Reinforcement Learning Approach.
- Design of an Anthropomorphic Robotic Finger System with Biomimetic Artificial Joints
- Synthesis and Stabilization of Complex Behaviors through Online Trajectory Optimization
