Dusko Katic - researchr alias

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Viewing Publication 1 - 21 from 21

2012

An Integrated Approach for Efficient Mobile Robot Trajectory Tracking and Obstacle AvoidanceAleksandar Cosic, Marko Susic, Dusko Katic. icinco 2012: 211-216

2009

New Trends in Robotic Reinforcement Learning: Single and Multi-robot CaseDusko Katic. In Imre J. Rudas, JÃ¡nos C. Fodor, Janusz Kacprzyk, editors, Towards Intelligent Engineering and Information Technology. Volume 243 of Studies in Computational Intelligence, pages 247-262, Springer, 2009. [doi]

Policy gradient fuzzy reinforcement learning control of humanoid walkingDusko Katic, Aleksandar D. Rodic. iconas 2009: 98-103 [doi]

Dynamics and Robust Control of Robot-Environment InteractionMiomir Vukobratovic, Dragoljub Surdilovic, Yury Ekalo, Dusko Katic. Volume 2 of New Frontiers in Robotics, World Scientific, 2009. [doi]

2008

Hybrid Dynamic Control Algorithm for Humanoid Robots Based on Reinforcement LearningDusko Katic, Aleksandar D. Rodic, Miomir Vukobratovic. jirs, 51(1):3-30, 2008. [doi]

2003

Survey of Intelligent Control Techniques for Humanoid RobotsDusko Katic, Miomir Vukobratovic. jirs, 37(2):117-141, 2003. [doi]

Intelligent control techniques for humanoid robotsDusko Katic, Miomir Vukobratovic. eucc 2003: 1839-1844 [doi]

The advanced vehicle control algorithm using neural networksAleksandar D. Rodic, Dusko Katic, Miomir Vukobratovic. eucc 2003: 3094-3099 [doi]

2002

Intelligent soft-computing paradigms for humanoid robotsDusko Katic, Miomir Vukobratovic. iros 2002: 2533-2538 [doi]

1998

A neural network-based classification of environment dynamics models for compliant control of manipulation robotsDusko Katic, Miomir Vukobratovic. tsmc, 28(1):58-69, 1998.

1997

The Application of Connectionist Structures to Learning Impedance Control in Robotic Contact TasksDusko Katic, Miomir Vukobratovic. apin, 7(4):315-326, 1997.

Robot compliance control algorithm based on neural network classification and learning of robot-environment dynamic modelsDusko Katic, Miomir Vukobratovic. icra 1997: 2632-2637 [doi]

1996

Fast learning algorithms for training of feedforward multilayer perceptrons based on extended Kalman filterDusko Katic, Srdjan Stankovic. icnn 1996: 196-201 [doi]

Stabilizing position/force control of robots interacting with environment by learning connectionist structuresMiomir Vukobratovic, Dusko Katic. automatica, 32(12):1733-1739, 1996. [doi]

1995

Learning control algorithms for robot contact task using feedforward neural networksDusko Katic, Miomir Vukobratovic. iros 1995: 522-527 [doi]

Highly efficient robot dynamics learning by decomposed connectionist feedforward control structureDusko Katic, Miomir Vukobratovic. tsmc, 25(1):145-158, 1995. [doi]

1994

Contribution to the indirect decentralized adaptive control of manipulation robotsDusko Katic, Miomir Vukobratovic. jirs, 9(3):235-271, 1994. [doi]

Learning Impedance Control of Manipulation Robots by Feedforward Connectionist StructuresDusko Katic, Miomir Vukobratovic. icra 1994: 45-50

Connectionist approaches to the control of manipulation robots at the executive hierarchical level: An overviewDusko Katic, Miomir Vukobratovic. jirs, 10(1):1-36, 1994. [doi]

1992

Decomposed connectionist architecture for fast and robust learning of robot dynamicsDusko Katic, Miomir Vukobratovic. icra 1992: 2064-2069 [doi]

1989

Using Neural Network Model for Learning Control of Manipulation RobotsDusko Katic. IEEEias 1989: 424-433

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