Download a PDF with the full list of our publications: Robot-Intelligence-Lab-Publications-2021.pdf
A comprehensive list can also be found at Google Scholar, or by searching for the publications of author Kormushev, Petar.
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Conference paperKormushev P, Nenchev DN, Calinon S, et al., 2011,
Upper-body Kinesthetic Teaching of a Free-standing Humanoid Robot
, Pages: 3970-3975 -
Journal articleKormushev P, Nomoto K, Dong F, et al., 2011,
Time Hopping Technique for Faster Reinforcement Learning in Simulations
, International Journal of Cybernetics and Information Technologies, Vol: 11, Pages: 42-59 -
Conference paperKormushev P, Calinon S, Saegusa R, et al., 2010,
Learning the skill of archery by a humanoid robot iCub
, Pages: 417-423 -
Conference paperKormushev P, Calinon S, Caldwell DG, 2010,
Approaches for Learning Human-like Motor Skills which Require Variable Stiffness During Execution
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Conference paperKormushev P, Calinon S, Caldwell DG, 2010,
Robot Motor Skill Coordination with EM-based Reinforcement Learning
, Pages: 3232-3237 -
Conference paperSato F, Nishii T, Takahashi J, et al., 2010,
Whiteboard Cleaning Task Realization with HOAP-2
, Pages: 426-429 -
Journal articleKormushev P, Nomoto K, Dong F, et al., 2009,
Eligibility Propagation to Speed up Time Hopping for Reinforcement Learning
, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol: 13, No. 6 -
Conference paperKormushev P, Dong F, Hirota K, 2009,
Probability redistribution using time hopping for reinforcement learning
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Journal articleKormushev P, Nomoto K, Dong F, et al., 2008,
Time manipulation technique for speeding up reinforcement learning in simulations
, Cybernetics and Information Technologies, Vol: 8, Pages: 12-24, ISSN: 1311-9702A technique for speeding up reinforcement learning algorithms by usingtime manipulation is proposed. It is applicable to failure-avoidance controlproblems running in a computer simulation. Turning the time of the simulationbackwards on failure events is shown to speed up the learning by 260% andimprove the state space exploration by 12% on the cart-pole balancing task,compared to the conventional Q-learning and Actor-Critic algorithms.
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Conference paperYamazaki Y, Dong F, Masuda Y, et al., 2007,
Intent expression using eye robot for mascot robot system
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Conference paperYamazaki Y, Dong F, Masuda Y, et al., 2007,
Fuzzy inference based mentality estimation for eye robot agent
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Journal articleAgre G, Kormushev P, Dilov I, 2006,
INFRAWEBS Axiom Editor - A graphical ontology-driven tool for creating complex logical expressions
, International Journal of Information Theories and Applications, Vol: 13, Pages: 169-178 -
SoftwareAgre G, Kormushev P, Dilov I, 2006,
INFRAWEBS Axiom Editor User’s Guide
, Institute of Information Technologies, Bulgarian Academy of Sciences -
Conference paperAgre G, Kormushev P, Dilov I, 2005,
INFRAWEBS Capability Editor - A graphical ontology-driven tool for creating capabilities of Semantic Web Services
, Pages: 228-228
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