Below is a list of all relevant publications authored by Robotics Forum members.

Search or filter publications

Filter by type:

Filter by publication type

Filter by year:

to

Results

  • Showing results for:
  • Reset all filters

Search results

  • Conference paper
    Kormushev P, Caldwell DG, 2013,

    Improving the Energy Efficiency of Autonomous Underwater Vehicles by Learning to Model Disturbances

  • Conference paper
    Ahmadzadeh SR, Kormushev P, Caldwell DG, 2013,

    Visuospatial Skill Learning for Object Reconfiguration Tasks

  • Conference paper
    Ahmadzadeh SR, Kormushev P, Caldwell DG, 2013,

    Interactive Robot Learning of Visuospatial Skills

  • Conference paper
    Ahmadzadeh SR, Leonetti M, Kormushev P, 2013,

    Online Direct Policy Search for Thruster Failure Recovery in Autonomous Underwater Vehicles

  • Conference paper
    Kormushev P, Caldwell DG, 2013,

    Towards Improved AUV Control Through Learning of Periodic Signals

  • Conference paper
    Kormushev P, Caldwell DG, 2013,

    Comparative Evaluation of Reinforcement Learning with Scalar Rewards and Linear Regression with Multidimensional Feedback

  • Conference paper
    Jamali N, Kormushev P, Caldwell DG, 2013,

    Contact State Estimation using Machine Learning

  • Conference paper
    Leonetti M, Ahmadzadeh SR, Kormushev P, 2013,

    On-line Learning to Recover from Thruster Failures on Autonomous Underwater Vehicles

  • Conference paper
    Kormushev P, Caldwell DG, 2013,

    Reinforcement Learning with Heterogeneous Policy Representations

  • Conference paper
    Kryczka P, Hashimoto K, Takanishi A, Kormushev P, Tsagarakis N, Caldwell DGet al., 2013,

    Walking Despite the Passive Compliance: Techniques for Using Conventional Pattern Generators to Control Instrinsically Compliant Humanoid Robots

  • Conference paper
    Carrera A, Carreras M, Kormushev P, Palomeras N, Nagappa Set al., 2013,

    Towards valve turning with an AUV using Learning by Demonstration

  • Conference paper
    Kryczka P, Kormushev P, Hashimoto K, Lim H-O, Tsagarakis NG, Caldwell DG, Takanishi Aet al., 2013,

    Hybrid gait pattern generator capable of rapid and dynamically consistent pattern regeneration

    , Publisher: IEEE, Pages: 475-480
  • Conference paper
    Kryczka P, Shiguematsu YM, Kormushev P, Hashimoto K, Lim H-O, Takanishi Aet al., 2013,

    Towards dynamically consistent real-time gait pattern generation for full-size humanoid robots

  • Journal article
    Kormushev P, Calinon S, Caldwell DG, 2013,

    Reinforcement Learning in Robotics: Applications and Real-World Challenges

    , Robotics, Vol: 2, Pages: 122-148, ISSN: 2218-6581
  • Conference paper
    Dallali H, Mosadeghzad M, Medrano-Cerda GA, Docquier N, Kormushev P, Tsagarakis N, Li Z, Caldwell Det al., 2013,

    Development of a dynamic simulator for a compliant humanoid robot based on a symbolic multibody approach

    , Pages: 598-603
  • Conference paper
    Kormushev P, Caldwell DG, 2012,

    Direct policy search reinforcement learning based on particle filtering

  • Journal article
    Colasanto L, Kormushev P, Tsagarakis N, Caldwell DGet al., 2012,

    Optimization of a compact model for the compliant humanoid robot COMAN using reinforcement learning

    , International Journal of Cybernetics and Information Technologies, Vol: 12, Pages: 76-85, ISSN: 1311-9702

    COMAN is a compliant humanoid robot. The introduction of passive compliance in some of its joints affects the dynamics of the whole system. Unlike traditional stiff robots, there is a deflection of the joint angle with respect to the desired one whenever an external torque is applied. Following a bottom up approach, the dynamic equations of the joints are defined first. Then, a new model which combines the inverted pendulum approach with a three-dimensional (Cartesian) compliant model at the level of the center of mass is proposed. This compact model is based on some assumptions that reduce the complexity but at the same time affect the precision. To address this problem, additional parameters are inserted in the model equation and an optimization procedure is performed using reinforcement learning. The optimized model is experimentally validated on the COMAN robot using several ZMP-based walking gaits.

  • Conference paper
    Kormushev P, Caldwell DG, 2012,

    Simultaneous discovery of multiple alternative optimal policies by reinforcement learning

    , Pages: 202-207
  • Journal article
    Shen H, Yosinski J, Kormushev P, Caldwell DG, Lipson Het al., 2012,

    Learning Fast Quadruped Robot Gaits with the RL PoWER Spline Parameterization

    , International Journal of Cybernetics and Information Technologies, Vol: 12
  • Journal article
    Dallali H, Kormushev P, Li Z, Caldwell DGet al., 2012,

    On Global Optimization of Walking Gaits for the Compliant Humanoid Robot COMAN Using Reinforcement Learning

    , International Journal of Cybernetics and Information Technologies, Vol: 12

This data is extracted from the Web of Science and reproduced under a licence from Thomson Reuters. You may not copy or re-distribute this data in whole or in part without the written consent of the Science business of Thomson Reuters.

Request URL: http://www.imperial.ac.uk:80/respub/WEB-INF/jsp/search-t4-html.jsp Request URI: /respub/WEB-INF/jsp/search-t4-html.jsp Query String: id=1128&limit=20&page=10&respub-action=search.html Current Millis: 1713094590019 Current Time: Sun Apr 14 12:36:30 BST 2024