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Computer Science

D-Index
44
Citations
9170
World Ranking
7518
National Ranking
3270

Overview

Evangelos A. Theodorou is affiliated with the Georgia Institute of Technology in the United States. Their research primarily spans the fields of Engineering and Computer Science, with a focus on subfields that include Control and Systems Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, and Computational Theory and Mathematics.

Theodorou's main research topics cover a variety of areas such as Advanced Control Systems Optimization, Reinforcement Learning in Robotics, Adaptive Dynamic Programming Control, Robotic Path Planning Algorithms, Fault Detection and Control Systems, Model Reduction and Neural Networks, and Stochastic processes and financial applications.

Recent noteworthy publications reflect these interests. These include:

  • Robust Model Predictive Path Integral Control: Analysis and Performance Guarantees, 2021, IEEE Robotics and Automation Letters
  • Trajectory Distribution Control for Model Predictive Path Integral Control using Covariance Steering, 2022, 2022 International Conference on Robotics and Automation (ICRA)
  • Learning Risk-aware Costmaps for Traversability in Challenging Environments, 2021, arXiv (Cornell University)
  • Aggressive Perception-Aware Navigation Using Deep Optical Flow Dynamics and PixelMPC, 2020, IEEE Robotics and Automation Letters
  • Outcome of refractory to conventional and/or biologic treatment adult Still's disease following canakinumab treatment: Countrywide data in 50 patients, 2020, Seminars in Arthritis and Rheumatism

Theodorou has collaborated frequently with researchers such as Tianrong Chen, Guan-Horng Liu, Augustinos D. Saravanos, Hassan Almubarak, and Naira Hovakimyan.

Publishing extensively, their work appears often in venues like arXiv (Cornell University), IEEE Robotics and Automation Letters, IEEE Transactions on Automatic Control, the 2022 International Conference on Robotics and Automation (ICRA), and the 2021 60th IEEE Conference on Decision and Control (CDC).

Best Publications

  • STOMP: Stochastic trajectory optimization for motion planning

    Mrinal Kalakrishnan;Sachin Chitta;Evangelos Theodorou;Peter Pastor

  • A Generalized Path Integral Control Approach to Reinforcement Learning

    Evangelos Theodorou;Jonas Buchli;Stefan Schaal

  • Information theoretic MPC for model-based reinforcement learning

    Grady Williams;Nolan Wagener;Brian Goldfain;Paul Drews

  • Aggressive driving with model predictive path integral control

    Grady Williams;Paul Drews;Brian Goldfain;James M. Rehg

  • Reinforcement learning of motor skills in high dimensions: A path integral approach

    Evangelos Theodorou;Jonas Buchli;Stefan Schaal

  • Model Predictive Path Integral Control: From Theory to Parallel Computation

    Grady Williams;Andrew Aldrich;Evangelos A. Theodorou

  • Agile Autonomous Driving using End-to-End Deep Imitation Learning

    Yunpeng Pan;Ching-An Cheng;Kamil Saigol;Keuntaek Lee

  • Learning variable impedance control

    Jonas Buchli;Freek Stulp;Evangelos Theodorou;Stefan Schaal

  • Skill learning and task outcome prediction for manipulation

    Peter Pastor;Mrinal Kalakrishnan;Sachin Chitta;Evangelos Theodorou

  • Reinforcement Learning With Sequences of Motion Primitives for Robust Manipulation

    F. Stulp;E. A. Theodorou;S. Schaal

  • Safe Learning of Quadrotor Dynamics Using Barrier Certificates

    Li Wang;Evangelos A. Theodorou;Magnus Egerstedt

  • A Kalman filter for robust outlier detection

    J.-A. Ting;E. Theodorou;S. Schaal

  • Computational Models for Neuromuscular Function

    F.J. Valero-Cuevas;H. Hoffmann;M.U. Kurse;J.J. Kutch

  • Stochastic Differential Dynamic Programming

    Evangelos Theodorou;Yuval Tassa;Emo Todorov

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

    Evangelos A. Theodorou;Emanuel Todorov

  • Imitation learning for agile autonomous driving

    Yunpeng Pan;Ching-An Cheng;Kamil Saigol;Keuntaek Lee

  • Learning to grasp under uncertainty

    Freek Stulp;Evangelos Theodorou;Jonas Buchli;Stefan Schaal

  • Probabilistic Differential Dynamic Programming

    Yunpeng Pan;Evangelos Theodorou

  • Movement segmentation using a primitive library

    Franziska Meier;Evangelos Theodorou;Freek Stulp;Stefan Schaal

  • Model Predictive Path Integral Control using Covariance Variable Importance Sampling

    Grady Williams;Andrew Aldrich;Evangelos A. Theodorou

  • Information Theoretic Model Predictive Control: Theory and Applications to Autonomous Driving

    Grady Williams;Paul Drews;Brian Goldfain;James M. Rehg

  • Erratum: A Generalized Path Integral Control Approach to Reinforcement Learning

    Evangelos A. Theodorou;Jonas Buchli;Stefan Schaal;Daniel Lee

Frequent Co-Authors

Stefan Schaal
Stefan Schaal Google (United States)
Naira Hovakimyan
Naira Hovakimyan University of Illinois at Urbana-Champaign
Panagiotis Tsiotras
Panagiotis Tsiotras Georgia Institute of Technology
James M. Rehg
James M. Rehg University of Illinois at Urbana-Champaign
Jonas Buchli
Jonas Buchli DeepMind (United Kingdom)
Byron Boots
Byron Boots University of Washington
Freek Stulp
Freek Stulp German Aerospace Center
Le Song
Le Song Mohamed bin Zayed University of Artificial Intelligence
Francisco J. Valero-Cuevas
Francisco J. Valero-Cuevas University of Southern California
Emanuel Todorov
Emanuel Todorov University of Washington

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