Publications in Intelligent Robotic Systems

M. Tarokh and G. McDermott, “A systematic approach to kinematics modeling of high mobility wheeled rovers,” Proc. IEEE Int. Conf. Robotics and Automation, pp. 901-906 , Rome, Italy, April 2007.

M. Tarokh, “Real-time forward kinematics solutions for general Stewart platforms,” Proc. IEEE Int. Conf. Robotics and Automation, pp. 4905-4910, Rome, Italy, April 2007.

M. Tarokh and X. Zhang, “An adaptive genetic algorithm for real-time robotic trajectory tracking,” 8th IFAC-IEEE Symposium on Robot Control: Vol. WeP2.3-2. ,pp. 101-106,. Bologna, Italy, 2006.

M. Tarokh and J. Kuo, “Vision based Person tracking and following in unstructured environments,” Proc. IEEE 13th Annual Conf. on Mechatronics and Machine Vision in Practice: Vol. 1. , pp. 031.1-031.6, Toowoomba, Australia, 2006.

M. Tarokh, “Fuzzy control of mobile robots for tracking”, Invited Talk, IEEE-CIS-Mexico Seminar on Computational Intelligence: Vol. 1, pp. 51-58, Tijuana, Mexico: IEEE CIS-Mexico, 2006.

M. Tarokh, G. McDermott and L. Mireles, “Balance control of articulated rovers with active suspension,” Proc. 8th IFAC-IEEE Symposium on Robot Control: Vol. FrP- 2.1-2. (pp. 1-6). Bologna, Italy, 2006.

M. Tarokh, “Exact, approximate, optimized and constrained output feedback pole assignment,” Proc. IEEE 45th Conference on Decision an Control: Vol. 1., pp. 1271-1276, San Diego, CA, 2006.

M. Tarokh and K. Keerthi, “Inverse kinematics solutions of anthropomorphic limbs by decomposition and fuzzy classification,” Proc. Int. Conf. Artificial Intelligence, vol. 1, pp. 338-343, Las Vegas, June 2005.

M. Tarokh and G. McDermott, “Kinematics modeling and analysis of articulated rovers,” IEEE Trans. on Robotics, vol. 21, no. 4, pp. 439-454, 2005.

M. Tarokh and J. Kuo, “Intelligent robotic person following in unstructured environments”, Proc. 2nd IFAC Int. Conf. Informatics in Control, Automation and Robotics, vol. 3, pp 101-106, Barcelona, Spain, September 2005.

G. McDermott, and M. Tarokh, “A general approach to kinematics modeling of all-terrain rovers,” Proc. IEEE Int. Conf. on Systems, Man and Cybernetics, pp. 2019-2024, October 2005.

M. Kim and M. Tarokh, “Information-based inverse kinematics for animation and robotics”, Proc. 2nd Int. IFAC Int. Conf. Informatics in Control, Automation and Robotics, vol. 2, pp 76-84, Barcelona, September, 2005.

M. Tarokh, A genetic rover planner with fuzzy logic adaptation for operation in rough terrain,” Proc. IEEE Co-sponsored Int. Conf. on Fuzzy Systems, Neural Networks and Genetic Algorithms, Mexico, pp. 27-38, Oct. 2005.

M. Tarokh and M. Kim, “Modeling of robot inverse kinematics by spatial decomposition and functional approximation,” Proc. Int. Conf. Modeling, Simulation and Visualization Methods, pp88-94, Las Vegas, 2005.

G. McDermott, M. Tarokh and L. Mireles, "Balance Control of Articulated Rovers with Active Suspension," 7th IFAC Int. Conference on Robot Control, Italy, September 2006, Accepted.

M. Tarokh, L. Mireles and G. McDermott, "Two Approaches to Kinematics Modeling of Articulated Rovers," Research Report No. CSRR-01-October2005.

M. Tarokh and G. McDermott, "Kinematics Modeling and Analyses of Articulated Rovers," IEEE Transactions on Robotics, Vol 21, No.4, pp. 539-553, August 2005.

M. Tarokh, “Robotic person following using fuzzy control and image segmentation”, Journal of Robotic Systems, Vol. 20, No. 9, pp. 557-568, September 2003.

M. Tarokh and D. Debonis, “Adaptive genetic path planner for rovers operating in partially known environments,” Proc. 2002 International Conference on Artificial Intelligence, Vol. 4, pp. 822-827, June 2002.

M. Tarokh and P. Ferrari, “Robotic person following using image processing and fuzzy control”, Proc. 2002 International Conference on Artificial Intelligence, Vol. 2, pp. 412-417, June 2002.

M. Tarokh and D. Debonis, “Adaptive genetic path planner for rovers operating in partially known environments,” Proc. 2002 International Conference on Artificial Intelligence, Vol. 4, pp. 822-827, June 2002

M. Tarokh, and A. Hourtash “Manipulator path planning by decomposition: Algorithm and analysis"” IEEE Trans. Robotics and Automation, Vol. 17, No. 6, pp. 842-856, December 2001.

M. Tarokh, R. Chan and C. Song, “Path planning of rovers using fuzzy logic and genetic algorithm,” World Automation Conf. ISORA-026, pp.1-7, Hawaii, June 2000.

M. Tarokh, “Fast Collision Free Motion Planning for Industrial Manipulators”, Advanced Manufacturing , News Letter, Sept 2000.

M. Tarokh, Z. Shiller and S. Hayati, “A comparison of two traversability-based path planners for planetary rovers,” Proc. 5th Int. Symp. Artificial Intelligence, Robotics and Automation, pp. 151-157, July 1999.

M. Tarokh, G. McDermott, S. Hayati, and J. Hung, “Kinematic modeling of a high mobility Mars rover,” Proc. IEEE Int. Conf. Robotics and Automation, pp. 992-998, Detroit, MI, 1999.

M. Tarokh, “Decoupled nonlinear three term controllers for robot trajectory tracking,” IEEE Trans. Robotics and Automation, pp. 369-380, vol. 15, No. 2, 1999.

M. Tarokh, Z, Shiller and S. Hayati, "A comparison of two traversability-base path planners for planetary rovers", Proc. 5th Int. Symp. Artificial Intelligence, Robotics and Automation in Space, pp. 151-157, June 1999.

M. Tarokh, G. McDermott, S. Hayati anf J. Hung, "Kinematic modeling of a high mobility Mars rover", Proc. IEEE Int. Conf. robotics and Automation, pp. 992-998, Detroit, MI, May 1999.

M. Tarokh, "Nonlinear decoupled three-term controllers for robot trajectory tracking", IEEE Trans. Robotics and Automation, pp. 369-380, vol. 15, no. 2, April 1999.

M. Gerke and M. Tarokh, "Real-time collision avoidance of multi-robots using fuzzy logic", Proc. World Automation Conf., ISORA, pp. 149.1-149.7, Anchorage, AK, 1998.

A. Hourtash and M. Tarokh, "Efficient path planning by optimal configuration generation using evolutionary computing", Proc. World Automation Conf., ISORA, pp. 150.1-150.8, Anchorage, AK, 1998.

M. Tarokh, and H, Hourtash, "path planning by decomposition and parallel search", Proc. IEEE Conf. Robotics and Automation, vol. 1, pp. 339-345, 1997.

A. Hourtash and M. Tarokh, "Optimal robot decomposition for fast path planning", Proc. Int. Conf. Advanced Robotics, pp. 339-345, 1997.

M. Tarokh, "Adaptive fuzzy force control of manipulators with unknown environment parameters", Int. J. Robotics Systems, vol. 13, pp. 233-248, 1997.

M. Tarokh, "Decentralized adaptive tracking control of robot manipulators", Int. J. Robotic Systems, vol. 12, pp. 803-816, Dec. 1996.

M. Tarokh, "Implementation of a fast path planner on an industrial robot", Proc. IEEE Int. Conf. Robotics and Automation, vol. 1, pp. 436-441, April 1996.

M. Tarokh, and S. Bailey, "force tracking with unknown environment parameters using adaptive fuzzy controllers", Proc. IEEE Int. Conf. Robotics and Automation, vol. 1, pp. 270-275, April 1996.

M. Tarokh, "A decentralized nonlinear controller for robot manipulator trajectory tracking", Proc. IEEE Int. Conf. Robotics and Automation, vol. 4, pp. 3683-3688, April 1996.

M. Tarokh, "Fast path planning for robot manipulators by formation-posture decomposition", IEEE/JRS Int. Conf. Robotics and Automation, vol. 2, pp. 138-143, Pittsburgh, PA, August 1995.

M. Tarokh, and G. McDermott, "Robust adaptive control for trajectory tracking of robot manipulators", Proc. 3ed IASTED Int. Conf. Robotics and Manufacturing, vol. 1, pp. 152-188, Mexico, June 1995.

M. Tarokh and G. McDermott, "A sliding mode robot controller with bounded estimation", IEEE Trans. Robotics and Automation, pp. 313, vol. 11, 1995.

M. Tarokh, and S. Bailey",Adaptive fuzzy force control of robot manipulators", vol. 1, pp. 185-188, Proc. 3ed IASTED Int. Conf. Robotics and Manufacturing, Mexico, June 1995.

Publications in Neural Networks, Rough Sets, and Data Mining

R. Swiniarski, L. Hargis. "Rough Sets as a Front end of Neural Networks Texture Classifiers" . Neuralcomputing Journal. A special issue on Rough-Neuro Computing, 1999. (accepted paper).

R. Swiniarski. " Rough Sets and Principal Component Analysis and Their Applications in Data Model Building and Classification". In S. K. Pal and A. Skowron (Eds.), "Rough Fuzzy Hybridization : New Trend in Decision Making", Springer Verlag, Singapore, January 1999.

R. Swiniarski, "Texture Recognition Using Neural Networks and Cluster-Based Rough Sets Computing", First USA-Italy Conference on Applied Neural and Cognitive Sciences UI-CANCS'99, Boston, October 3-6, 1999.

K. Cios, W. Pedrycz and R. Swiniarski, "Data Mining Methods for Knowledge Discovery", Book, Kluwer Academic Publisher. 1998.

H. Zeng, and R. Swiniarski, "A New Halftoning Method Based on Error Diffusion with Rough Set Filtering". In J. Kacprzyk , ed., series Studies in Fuzziness and Soft Computing. L. Polkowski, A. Skowron (eds.) Rough Sets in Knowledge Discovery 2. Chapter 18, pp. 336-344, 1998.

R. Swiniarski, "RoughFuzzyLab - a system for data mining and rough-set and fuzzy sets based classification". In J. Kacprzyk , ed., series Studies in Fuzziness and Soft Computing. L. Polkowski, A. Skowron (eds.) Rough Sets in Knowledge Discovery 2. pp. 591-593, 1998.

V. Lobo, F. Moura-Pires, and R. Swiniarski, "Minimizing the Number of Neurons for a SOM-Based Classification, Using Boolean Function Formalization." Proceedings of 1998 IEEE World Congress on Computational Intelligence. Anchorage, Alaska USA, May 4-9, 1998.

R. Swiniarski. (1998). "Rough Sets and Bayesian Methods Applied to Cancer Detection". L. Polkowski, A. Skowron (eds). Proceedings of the First International Conference on Rough Sets and Current Trends in Computing (RSCTC98), pp. 609-615, Springer Verlag, June 22-26, Warsaw, Poland, 1998.

R. Swiniarski, "Rough Sets and Neural Networks Application to Handwritten Character Recognition by Complex Zernike Moments." L. Polkowski, A. Skowron (eds). Proceedings of the First International Conference on Rough Sets and Current Trends in Computing (RSCTC98) pp. 617-624.June 22-26, Springer Verlag Warsaw, Poland, 1998.

R. Swiniarski, "A software system for data mining and rough and fuzzy sets based classification: RoughFuzzyLab". Bulletin of the International Rough Sets Society. Tokyo, Japan, 1998.

R. Swiniarski, "RoughFuzzyLab - a system for data mining and rough-set and fuzzy sets based classification", in L. Polkowski, A. Skowron (eds.), Rough Sets in Knowledge Discovery 2. Applications, Case Studies and Software Systems, pp. 591-593, Physica-Verlag, Haidelberg, 1998.

R. Swiniarski, F. Hunt, D. Chalvet, D. Pearson, "Feature Selection Using Rough Sets and Hidden Layer Expansion for Rupture Prediction in a Highly Automated Production System". Systems Science. Vol. 23, no. 1, 1997.

H. Zeng., R. Swiniarski, "Modeling of Intelligent Processing Systems Based on Rough Sets." Proceedings of Chinese Congress on Neuralcomputing Science CCNS'97. pp. 312-316. China, October 26-28,1997.

R. Swiniarski, "Rough sets expert system for robust texture classification based on 2D fast Fourier transformation spectral features",in S. Tsumoto, S. Kobayashi, T. Yokomori, H. Tanaka and A. Nakamura (eds.), The fourth International Workshop on Rough Sets, Fuzzy Sets, and Machnine Discovery, PROCEEDINGS RS96FD, 419-425, November 6-8, The University of Tokyo, 1996.

A. Cichocki, R. Swiniarski, R. Bogner, "Hierarchical Neural Network for Robust PCA Computation of Complex Valued Signals". Proceedings of 1996 World Congress on Neural Networks, San Diego, Sept. 15-20, 1996.

R. Swiniarski, F. Hunt, D. Chalvet, D. Pearson. "Feature Selection Using Rough Sets and Hidden Layer Expansion for Rupture Prediction in a Highly Automated Production System". Proceedings of the 12th International Conference on Systems Science. Wroclaw, Poland, September 12-15, 1995.

R. Swiniarski, F. Hunt, D. Chalvet, D. Pearson. "Intelligent Data Processing and Dynamic Process Discovery Using Rough Sets, Statistical Reasoning and Neural Networks in a Highly Automated Production Systems". Proceedings of the 1st European Conference on Application of Neural Networks in Industry, Helsinki, Finland, August, 1995.

H. Zeng, R. Swiniarski, "A new synthesis of Hopfield continuous-time associative memory". Proc. IEEE International Conference on Circuit and Systems, 1995, Seattle, April, 1995.