Publications

International monographs

1. D.Katić, M.Vukobratović, Intelligent Control of Robotic Systems, Kluwer Academic Publishers, Dordrecht, October 2003

2. M.Vukobratović, D.Šurdilović, , J.Еkalo, , D.Каtić, Dynamics and Robust Control of Robot-Environment Interaction, World Scientific,Singapore, 2009.

Chapters in international monographs

1. D.Katić, Connectionist learning models for intelligent control of manipulation robots, Proceedings of the IMACS International Symposium on Mathematical and Intelligent Models in System Simulation, (Brussels), September 1990.

2. M.Vukobratović and D.Katić, Connectionist control structures for high-efficiency learning in robotics , Applied Control, (S.Tzafestas, ed.), pp.705-753, New York: Marcel Dekker Inc., 1993.

3. M.Vukobratović and D.Katić, Robot control structures for high-quality learning in flexible manufacturing, Frontier Decision Support Concepts: Help Desk, Learning, Fuzzy Diagnoses, Quality Evaluation, Prediction, Evolution, (V.L.Plantamura, B.Soucek, G.Visaggio, eds.), pp.319-355, New York: John Wiley & Sons,Inc. 1994.

4. D.Katić and B.Karan, Intelligent Soft-Computing Techniques in Robotics, The Mechanical Systems Design Handbook: Modeling, Measurement, and Control, (O.Nwokah, M.Hurmuzlu, eds.), CRC Press, 2001.

5. D.Katić, M.Vukobratović, Reinforcement Learning Algorithms for Robotic Contact Tasks, in monograph Humanoid Robots: New Developments (Armando Carlos de Pina Filho, ed,), Advanced Robotic Systems International and I-Tech,, pp.367 - 400.Vienna, 2007.

6. D.Katić, ”New Trends in Robotic Reinforcement Learning: Single and Multi-Robot Case”, in Toward Intelligent Engineering and Information Technology (I.J.Rudas, J.Fodor, J.Kacprzyk, eds.), Springer,pp.247-262, Berlin/Hayderberg, 2009.

Papers published in international journals

[1] M.Vukobratović,D.Katić,V.Potkonjak,“ Computer-assisted choice of electrohydraulic servosystems for manipulation robots using complete mathematical models'', Mechanism and Machine Theory, vol.22, no.5, pp.431-439, 1987.

[2] D.Katić, M.Vukobratović,“ Connectionist architectures for control of manipulation robots by feedback-error learning method'', Yugoslav Journal of Operational Research, vol.2, no.2, pp.232-252, 1992 .

[3] D.Katić, M.Vukobratović ,“ Contribution to the indirect decentralized adaptive control of manipulation robots'', Journal of Intelligent and Robotic Systems, vol.9, pp.235-271,1994.

[4] D.Katić, M.Vukobratović , “ Connectionist approaches to control of manipulation robots at the executive hierarchical level: An overview'', Journal of Intelligent and Robotic Systems,vol.10,pp.1-36,1994.

[5] D.Katić, M.Vukobratović ,“ Highly efficient robot dynamics learning by decomposed connectionist feedforward control structure'', IEEE Transactions on Systems, Man and Cybernetics, vol.25,no.1,pp.145-158, January 1995.

[6] M.Vukobratović,D.Katić,“ Stabilizing Position /Force Control of Robots interacting with Dynamic Environment by Learning Connectionist Structures'', IFAC Journal AUTOMATICA,vol.32,No.12,pp.1733-1739, December 1996.

[7] D.Katić, M.Vukobratović ,“The Application of Connectionist Structures for Learning Impedance Control for Robotic Contact Tasks", Applied Intelligence,Vol.7, No.4,pp.315-326, November 1997.

[8] D.Katić, M.Vukobratović,”Adaptive Nonlearning and Learning Connectionist Control of Manipulation Robots with Flexible Links", IASTED Journal of Robotics and Automation, Vol.12, No.4, pp.135-145, 1997.

[9] D.Katić, M.Vukobratović,“A Neural Network Based Classification of Environment Dynamics Models For Compliant Control of Manipulation Robots", IEEE Transactions on Systems, Man and Cybernetics, Part B, Vol.28, No.1, pp.58-69, February 1998.

[10] D.Katić, M.Vukobratović," Learning Control in Robotic Contact Tasks using Wavelet Network Classification", International Journal Engineering & Automation Problems, vol.2, no.1, pp.7-15, 2001.

[11] A.Rodić, D.Katić, M.Vukobratović," The Connectionist Compensator for Advanced Integrated Road Vehicle Controller", International Journal Engineering & Automation Problems, vol..2, no.1, pp.27-39, 2001.

[12] D.Katić, M.Vukobratović,“ Survay of Intelgent Control Techniques for Humanoid Robots”, Journal of Intelligent and Robotic Systems, Vol. 37, pp. 117 - 141, 2003.

[13] D.Katić, M.Vukobratović,“Connectionist-Wavelet control and classification algorithm for robot compliance tasks”, Communications in Dependability and quality management, Vol..6, No.2, 2003.

[14] D.Katić, M.Vukobratović,"Connectionist Control tecniques for Humanoid Robots", International Journal Engineering & Automation Problems, vol.4, no.1, pp.17-22, 2004.

[15] D.Katic, A.Rodic, M.Vukobratovic, Hybrid Dynamic Control Algorithm For Humanoid Robots Based On Reinforcement Learning, ,Journal of Intelligent and Robotic Systems, vol.51,No.1,pp.3-30, January 2008,

[16] D.Katic, A.Rodic, M.Vukobratovic,”Reinforcement Learning Control Algorithm for Humanoid Robot Walking, International Journal of Information & Systems Sciences, Vol.4, No.2, pp.256-267, 2008.

[17] D.Katić, “Cooperative Multi Robot Systems for Contemporary Shopping Malls”, Volume 8, Number 2, pp. 10-17, Intelligent Service Robotic Systems, Ipsi Journal, Transactions on Internet Research, TIR, ISSN 1820 - 4503, 2012.

Papers presented at the international conferences

[1] M.Vukpbratović, V.Potkonjak, D.Katić,“Computer-aided design and optimal choice of electrohydraulic actuators for industrial robots, Proceedings of the 14th International Symposium on Industrial Robots , Gothenburg, Sweden pp.711-721, October 1984.

[2] M.Vukpbratović, V.Potkonjak, D.Katić, “Computer-aided selection of hydraulic actuators for manipulation robots'', Proceedings of the 2nd Soviet -Yugoslav Symposium on Applied Robotics, Arandjelovac,Yugoslavia, June 1984.

[3] D.Katić, M.Vukobratović, “Computer-assisted choice of electro-hydraulic servo systems for manipulation robots using exact mathematical models'', Proceedings of the 7th IASTED International Symposium ROBOTICS AND AUTOMATION '85, Lugano, Switzerland, June 1985.

[4] D.Katić, M.Vukobratović, “The influence of actuator model complexity on control synthesis for high performance robot trajectory tracking'', Preprints of the IFAC / IFIP / IMACS International Symposium THEORY OF ROBOTS, Vienna, Austria, December 1986.

[5] D.Katić, M.Vukobratović,“ The influence of actuator model complexity on control synthesis for high performance robot trajectory tracking'', THEORY OF ROBOTS, (P.Kopacek, I.Troch, and K.Desoyer, ed.), Oxford,U.K.: Pergamon Press, 1988.

[6] D.Katić,“Using neural network model for learning control of manipulation robots'', Proceedings of the International Conference – Intelligent Autonomous Systems 2, Amsterdam, The Netherlands, December 1989.

[7] D.Katić, M.Vukobratović, “Unsupervised learning control algorithm for manipulation robots using single-layer neural network model'', Proceedings of the International Neural Network Conference, Paris, France, July 1990.

[8] D.Katić, M.Vukobratović, “Learning of robot inverse dynamic relations by single layer and multilayer neural networks'', Proceedings of the 2nd Regional UNDP / UNIDO Project Workshop on CIM and Robotics Application,Belgrade, Yugoslavia, pp.12-21, September 1991.

[9] D.Katić, “Connectionist learning models for intelligent control of manipulation robots'', IMACS ANNALS ON COMPUTING AND APPLIED MATHEMATICS}, (R.Hanus, P.Kool, i S.Tzafestas, ed.), Basel,Switzerland: J.C.Baltzer AG Scientific Publishing Company, 1991.

[10] D.Katić, M.Vukobratović, “ New connectionist control structure for fast robot dynamic learning'', Proceedings of the SPIE's 1992 OE/Aerospace Sensing Symposium, Conference 1709 Applications of Artificial Neural Networks III, Orlando, USA, April 1992.

[11] D.Katić, M.Vukobratović,“Decomposed connectionist architecture for fast and robust learning of robot dynamics'', Proceedings of the 1992 IEEE International Conference on Robotics and Automation, Nice, France, pp.2064-2069, May 1992.

[12] M.Vukobratović, D.Katić, “ Connectionist learning control algorithms for contact tasks in industrial robotics'', Proceedings of the 24th International Symposium on Industrial Robots, Tokyo, Japan, November 1993.

[13] B.Borovac, D.Katić, M.Vukobratović, “ Connectionist reactive control for robotic assembly tasks by soft sensored grippers'', Proceedings of the 24th International Symposium on Industrial Robots, Tokyo, Japan, November 1993.

[14] D.Katić, M.Vukobratović,“Learning Impedance Control of Manipulation Robots by Feedforward Connectionist Structures'', Proceedings of the 1994 IEEE International Conference on Robotics and Automation, San Diego, USA, pp.45-50, May 1994.

[15] D.Katić, M.Vukobratović,“Adaptive Nonlearning and Learning Connectionist Control of Manipulation Robots with Flexible Links '', Preprints of the 5th IFAC Symposium on Adaptive Systems in Control and Signal Processing ACASP'95, Budapest, Hungary, pp.305-310, June 1995.

[16] D.Katić, M.Vukobratović,“ Highly Efficient Intelligent Learning Control for Manipulation Robots by Feedforward Neural Networks '', Preprints of the 7th IFAC/IFORS/IMACS Symposium on LARGE SCALE SYSTEMS: Theory and Applications LSS'95, London, UK, pp.779-784, July 1995.

[17] D.Katić, M.Vukobratović,“ Learning Control Algorithms for Robot Contact Task Using Feedforward Neural Netwroks '', Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems IROS'95, Pittsburgh, USA, vol.3, pp.522-527, August 1995.

[18] M.Vukobratović, D.Katić, ” Robust Control of Robots Interacting with Dynamic Environment by Application of Neural Networks '', Proceedings of the 9-th World Congress on the Theory of Machines and Mechanisms,Milano, Italy, pp.2060-2064, August-September 1995.

[19] D.Katić, M.Vukobratović, ” The Application of Neural Networks for Learning Impedance Control in Robotic Contact Tasks '', Proceedings of the First ECPD International Conference on Advanced Robotics and Intelligent Automation, Athens, Greece, pp.134-139, September 1995.

[20] M.Vukobratović,D.Katić, “ Robust Stabilizing Position Force Control Interacting with Dynamic Environment by Learning Connectionist Structures '', Proceedings of the 7th International Conference on Advanced Robotics ICAR'95, Sant Feliu de Guixols, Spain, September 1995.

[21] M.Vukobratović,D.Katić,“Learning Control of Industrial Robots with Dynamic Environment by Application of Multilayer Perceptrons '', Proceedings of the 26th International Symposium on Industrial Robots, Singapur, October 1995.

[22] D.Katić, S.Stanković, ,“ Fast learning algorithms for training of multilayer perceptrons based on Extended Kalman Filter '', Proceedings of the IEEE International Conference on Neural Networks ICNN'96,Washington,DC, USA, June 1996.

[23] D.Katić, M.Vukobratović,“A Connectionist Based Robot Control: An Overview '', Proceedings of the 13th IFAC World Congress, San Francisko, USA, Vol.A,pp.169-174,July 1996.

[24] D.Katić, M.Vukobratović,''A Connectionist Based Learning and Classification of Robot-Environment Dynamics Models for Compliance Control Tasks", Proceedings of the Second ECPD International Conference on Advanced Robotics,Intelligent Automation and Active Systems, Vienna, Austria,,pp.74-79, September 1996.

[25] D.Katić, M.Vukobratović,“ Robot Compliance Control Algorithm Based on Neural Network Classification and Learning of Robot-Environment Models'', Proceedings of the 1997 IEEE International Conference on Robotics and Automation, Albuquerque, USA,, April 1997.

[26] D.Katić," Some Recent Issues in Connectionist Robot Control", Proceedings of the Third ECPD International Conference on Advanced Robotics, Intelligent Automation and Active Systems, Bremen,Germany,pp.79-92, September 1997.

[27] D.Katić," Connectionist Control of Robotic Contact Tasks Using Wavelet Network Classification", Proceedings of the World Automation Congress WAC'98,Anchorage, USA, pp.169.1-169.6, May 1998.

[28] D.Katić," Genetic Algorithm Tuning of connectionist controller for compliant robotic tasks", Proceedings of the 14th IFAC World Congress, Beijing, China, July 1999.

[29] D.Katić," The Genetic-Connectionist Algorithm for Compliant Robotic Tasks", Proceedings of the 8th IEEE Mediterranean Conference on Control and Automation,Patras,Greece, July 2000.

[30] A.Rodić,D.Katić, M.Vukobratović,"The Connectionist Compensator for Advanced Integrated Vehicle", Proceedings of the IEEE International Conference on Control Applications, Mexico City, Mexico, September 2001.

[31] D.Katić, M.Vukobratović,” Advanced Control of Robot Compliance Tasks Using Hybrid Intelligent Techniques” , Proceesings of the ROMANSY’02, Udine, Italy, July 2002.

[32] D.Katić, M.Vukobratović,” Intellifent Soft-Computing Paradigns for Humanoid Robots”, Proceedings of the 2002 IEEE/RSJ International Conference on Intelligent Robots and Systems, Lausanne, Switzerland, October 2002.

[33] D.Katić, M.Vukobratović, “ Adanced Connectionist Control of Robot Compliance Tasks using Wavelet Network Classifier”, Proceedings of the IFAC Conference on Intelligent Control and Signal Processing, Faro, April 2003.

[34] D.Katić, M.Vukobratović,“ Connectionist Control Techniques for Humanoid Robots”, Proceedings of the 11th International Conference on Advanced Robotics, ICAR 2003, Coimbra, Portugal, June-July 2003.

[35] А.Rodić, D.Katić, M.Vukobratović," The Advanced Vehicle Control Algorithm Using Neural Networks", Proceedings of the European Control Conference ECC 2003., Cambrudge,UK, September 2003..

[36] D.Katić, M.Vukobratović, “Intelligent Control Techniques for Humanoid Robots”, Proceedings of the European Control Conference ECC 2003., Cambridge, UK, September 2003.

[37] D.Katić, M.Vukobratović, “ Survey of Hybrid Intelligent Control Techniques for Humanoid Robots”, Proceedings of the 1st Serbian-Hungarian Symposium on Intelligent Systems, SISY 2003, Subotica, Serbia & Montenegro, September 2003, pp.55 - 68.

[38] D.Katić, M.Vukobratović, ” Control Algorithm for Biped Walking using Reinforcement Learning”, Proceedings of the 2st Serbian-Hungarian Symposium on Intelligent Systems, SISY 2004, Subotica, Serbia & Montenegro, October 2004, pp. 71- 82.

[39] D.Katić, M.Vukobratović, " Intelligent Control Algorithm for Humanoid Robots based on Neuro-Fuzzy Reinforcement Structures", Proceeings of EUROFUSE 2005 Anniversaty Workshop on "Fuzzy for Better", Belgrade, Serbia & Montenegro, June 2005.

[40] D.Katić, M.Vukobratović,” Survey of Intelligent Control Algorithms For Humanoid Robots”, Proceedings of the 16th IFAC World Congress, Prague, Czech Republic, July 2005.

[41] D.Katic, Reinforcement learning in Humanoid Robotics, Plenary Lecture on NEUREL 2006, Belgrade, Serbia, September 2006.

[42] D.Katic, M.Vukobratovic, Control Algorithm for Humanoid Walking Based on Fuzzy Reinforcement Learning, 4th Serbian-Hungarian Joint Symposium on Intelligent Systems Subotica, Serbia, September 2006.

[43] D.Katić, A.Rodić, Dynamic Control Algorithm for Biped Walking Based on Policy Gradient Fuzzy Reinforcement Learning, Proceedings of the 17th IFAC World Congress, Seoul, Republic of Corea, July 2008.

[44] A.Rodić, D.Katić, “ Trajectory Prediction and Path Planning of Intelligent Autonomous Biped Robots – Learning and Decision Making through Perception and Spatial Reasoning”, Proceedings of the 9th International Symposium on Neurаl Networks Applications in Electrical Engineering NEUREL'08, Belgrade,Serbia, September 2008.

[45] D.Katić,A.Rodić, “Policy Gradient Fuzzy Reinforcement Learning Control of Humanoid Walkig”, Proceedings of the 2nd IFAC International Conference on Intelliget Control Systems and Signal Processing ICONS’09, September 2009, Istanbul, Turkey.

[46] A.Rodić, D.Katić, G.Mešter, “Ambient Intelligent Robot-Sensor Networks for Environmental Surveillance and Remote Sensing”, Proceedings of 7th International Symposium on Intelligent Systems and Informatics SISY’09, September 2009, Subotica, Serbia.

[47] D.Katić, A.Rodić, “Intelligent Multi Robot Systems for Contemporary Shopping Malls”, Proceedings of 8th International Symposium on Intelligent Systems and Informatics SISY’10, September 2010, Subotica, Serbia.

[48] D.Katić, A.Rodić, “Robot Awareness Of Complex Dynamic Environment Using Multimodal Neuro-Fuzzy Multi-sensor Fusion”, Proceedings of EUCOGII 3rd Member Conference, October 2010, Palma de Mallorca, Spain.

[49] M.Šušić, A.Ćosić, A.Ribić, D.Katić, “An Approach for Intelligent Mobile Robot Motion Planning and Trajectory Tracking in Structured Static Environments”, Proceedings of 9th International Symposium on Intelligent Systems and Informatics SISY’11, September 2011, Subotica, Serbia.

Papers presented at the domestic conferences

[1] D.Katić, “Optimal choice of actuating systems of manipulators'', Proceedings of the 28. Yugoslav ETAN Conference, Split, Croatia, June 1984 (in Serbian).

[2] D.Katić, “Analysis of the influence of mathematical model complexity of electrohydraulic actuators on manipulator control synthesis'', Proceedings of the 29. Yugoslav ETAN Conference, Ni{, Yugoslavia,June 1985 (in Serbian).

[3] D.Katić, “ Computer-aided selection of electrohydraulic servosystems for manipulation robots using complete mathematical models'', Proceedings of the 4-th Yugoslav Symposium on applied robotics, Vrnjačka Banja, Yugoslavia, June 1985 (in Serbian).

[4] D.Katić, “ Contribution to decentralized control synthesis of manipulation robots using models of the electrohydraulic actuators'', Proceedings of the 30. Yugoslav ETAN Conference, Herceg-Novi, Yugoslavia, June 1986 (in Serbian).

[5] D.Katić, “ Analysis of influence of sensitivity model of manipulation robots for decentralized control synthesis of manipulation robots'', Proceedings of the 5-th Yugoslav Symposium on applied robotics, Bled, Slovenia, June 1987 (in Serbian).

[6] D.Katić, “An approach for indirect adaptive control of manipulation robots'', Proceedings of the 32. Yugoslav ETAN Conference, Sarajevo, Bosnia and Herzegovina, June 1988 (in Serbian).

[7] D.Katić, “ Learning control algorithm for manipulation robots based on neural network model'', “ Proceedings of the 6-th Yugoslav Symposium on applied robotics, Novi Sad, Yugoslavia, pp.179-186, June 1989 (in Serbian).

[8] D.Katić, “ Learning control algorithm for manipulation robots using combined model of single layer and multi-layer neural networks'', Proceedings of the 34. Yugoslav ETAN Conference, Zagreb, Croatia, June 1990 (in Serbian).

[9] D.Katić, “ Synthesis of neural controller for hybrid control of manipulation robots'', Proceedings of the 36. Yugoslav ETAN Conference, Kopaonik, Yugoslavia, September 1992 (in Serbian).

[10] D.Katić and M.Vukobratović, “Algoritms of hybrid neural learning control of manipulation robots'', Proceedings of the HIPNEF '93}, Belgrade, Yugoslavia, October 1993 (in Serbian).

[11] D.Katić, “Hybrid approach for learning control of manipulation robots with elastic links based on recurrent neural networks'', Proceedings of the 39. Yugoslav ETRAN Conference, Zlatibor, Yugoslavia, June 1995 (in Serbian).

[12] D.Katić, S.Stanković, “ Fast Learning algorithms for training of feedforward multilayer perceptrons based on extended Kalman filter'', Proceedings of the 3. Workshop Application of Neural Networks in Electrotehnics - NEUREL'95,Belgrade, Yugoslavia, pp.58-65, September 1995 (in Serbian).

[13] D.Katić,” Neural Networks in Robotics'', Proceedings of the 3. Workshop Application of Neural Networks in Electrotehnics - NEUREL'95,Belgrade, Yugoslavia, pp.72-87, September 1995 (in Serbian).

[14] D.Katić, “ Neural approach for robotic contact task control based on learning and classification'', Proceedings of the 41. Yugoslav ETRAN Conference, Zlatibor, Yugoslavia, June 1997 (in Serbian).

[15] D.Katić,”A Connectionist Learning Control and Classification Approach for Robotic Contact Tasks'', Proceedings of the 4. Workshop Application of Neural Networks in Electrotehnics - NEUREL'97, Belgrade, Yugoslavia, pp.201-206, September 1997.

[16] D.Katić, " Genetic Algorithms in Robotics", Proceedings of the 42. Yugoslav ETRAN Conference, Vrnjnčka Banja, Yugoslavia, June 1998 (in Serbian).

[17] D.Katić, “The Control Algorithm for Compliant Robotic Tasks Based on Neuro-Genetic Approach'', Proceedings of the 5. Workshop Application of Neural Networks in Electrotehnics - NEUREL'00, Belgrade, Yugoslavia, September 2000.

[18] D.Katić, M.Vukobratović, “ Intelligent Control for Robotic Contact Tasks suing Wavelet Network Classifier” Proceedings of the 5th DQM-2002 Dependability and Quality Management, Belgrade, Serbia, Yugoslavia, June 2002.

[19] A.Rodić, D.Katić, M.Vukobratović, “The Neural Compensator for Advanced Vehicle Controller'', Proceedings of the 6. Workshop Application of Neural Networks in Electrotehnics - NEUREL'02, Belgrade, Yugoslavia, September 2002.

[20] D.Katić, A.Rodić, “Neural Control Techniques For Humanoid Robots”, Proceedings of the 47. ETRAN Conference, Herceg-Novi , Serbia & Montenegro , June 2003, vol. 4, pp..386-389.

[21] A.Rodić, M. Vukobratović, M. Filipović, D. Katić, '' Modellling and Simulation of Locomotion Mechnanisms of Antropomorphic Structure Using Contemporary software tools”, ”, Proceedings of the 47. ETRAN Conference, Herceg-Novi, Serbia & Montenegro, June 2003, Vol.4, pp.347-350.

[22] M.Filipović, A.Rodić, D.Katić, ” An Analysis of Movement of Elastic Rovotic System under the influence of environment dynamics”, Proceedings of 29. HIPNEF 2004, Vranjačka Banja, Serbia & Montenegro, May 2004.pp.385-390.

[23] M.Filipović, D.Katić, A.Rodić, “ An Analysis of Movement of the Flexible Robotic System in Horizontal Plane”, Proceedings of the 7th DQM-2002 Dependability and Quality Management, Belgrade, Serbia & Montenegro, June 2004.

[24] D.Katić, M.Vukobratović,” Intelligent Control of Humanoid Robots using Neural Networks”, Proceedings of the 7. Workshop Application of Neural Networks in Electrotehnics - NEUREL'04, Belgrade, Serbia & Montenegro , September 2004., pp.31-35.

[25] D.Katić, A.Rodić, “ Control Algorithm for Humanoid Robots Walkung based on Learning Structures”, Proceedings of the 49. ETRAN Conference, Budva, Montenegro, June 2005.

[26], D.Katić, '' Reinforcement Neuro-Fuzzy Structure and Applications’’, Proceedings of the 38. SYMOPIS Conference, Banja Koviljača, October 2006. pp.345-348.

[27] D.Katić, А.Rodić, “ Intelligent Autonomous Locomotion of Humanoid Robots Through Perception, Learning and Spatial Reasoning”, Proceedings of the 52. ETRAN Conference, Palić, Serbia, June 2008.

[28] D.Katić, A.Rodić, ''Intelligent Multi Robotic Szstems for Modern Mega Stores'', Proceedings of the 53. ETRAN Conference, Vrnjačka Banja, Serbia, June 2009.

[29] A.Rodić,D.Katić “Ambient Aware Cognitive Robot Ant – Intelligent Ooutdoor Service Robot For Environmental Tasks”, Proceedings of the 53. ETRAN Conference, Vrnjačka Banja, Serbia, June 2009.

[30] A.Rodić, D. Katić, “Navigation and Control of 4WD Mobile Robot Platform with Electric Actuators in Presence of Obstacles”. Proceedngs of the 54. ETRAN Conference, Donji Milanovac, Serbia, June 2010.

[31] M.Šušić, A.Ćosić, A.Ribić, D.Katić, “An Algorithm for Path Planning of Mobile Robots in Presence of a Fixed Obstacles Based on Paticle Swarm Optimization”, Proceedings of the 55. ETRAN Conference, Banja Vrućíca , Bosnia and Herzegovina, June 2011.

[32] A. Ćosić, M.Šušić, A.Ribić, D.Katić, “An Approach for Mobile Robot Trajectory Generation and Tracking”, Proceedings of the 55. ETRAN Conference, Banja Vrućíca , Bosnia and Herzegovina, June 2011.

Papers published in domestic journals

[1] D.Katić, “ Computer-assisted choice of electrohydraulic servo systems formanipulation robots using complete mathematical models'', Automatika, vol.26, no.5-6, pp.239-248, 1985 (in Serbian).

[2] D.Katić, “Algorithm for indirect adaptive control of manipulation robots',' Automatika, vol.30, no.1-2, pp.17-25, 1989 (in Serbian)

[3] D.Katić, " Algorithms of Evolutionary Computing in Robotics", Info - Sceince, Vol.6, No.2, pp.30-37, Marth-April 1998 (in Serbian).

[4] D.Katić," Hybrid Learning Control for Manipulation Robots with Flexible Links based on Neural Networks", Tehnika - Elektrotehnika, Vol.3, pp.E.7-E.11, 1998 (in Serbian).

[5] D.Katić," Connectionist Approach for Control of Robotics Contact Tasks based on Learning and Classification", Tehnika - Mašinstvo, Vol.4, pp.M.1-M.6, 1998 (in Serbian).

[6] A. Рodić, D..Кatić,” Intelligent Control of Road Vehicle using Neural Betworks ”, Tehnika-Mašinstvo, No,.5, pp.1-12, 2004.

[7] D.Katić, ‘’Control Algorithms for Humanoid Robots based on Neural Networks ’’, Tехника – Eлектротехника, 2005. (in Serbian)

[8] D.Katić, ‘’Control Algorithm based on application of reinforcement learning for biped robot walking”, Научнотехнички Преглед, Vol.1, 2006, pp..35 – 40. (in Serbian)

[9] D.Katić, “Neural Control Algorithm for robot contact tasks based on wavelet networks”, Научнотехнички Преглед, Vol.2, 2006, pp.24 – 29.(in Serbian).