T. Stipancic, P. Curkovic, and B. Jerbic, Robust autonomous assembly in environment with relatively high level of uncertainty, 10th International Conference on the Modern Information Technology in the Innovation Processes of the Industrial Enterprises, pp.193-198, 2008.

S. Chen, Y. Li, J. Zhang, and W. Wang, Active Sensor Planning for Multiview Vision Tasks, 2008.
DOI : 10.1007/978-3-540-77072-5

G. E. Box, K. Wilson, and B. , The Exploration and Exploitation of Response Surfaces: Some General Considerations and Examples, Biometrics, vol.10, issue.1, pp.16-60, 1954.
DOI : 10.2307/3001663

T. Stipancic, P. Curkovic, and B. Jerbic, Substantial vision application settings analysis, CIM2009 -Computer integrated manufacturing and high speed machining, pp.217-220, 2009.

M. Inanici, Evaluation of high dynamic range photography as a luminance data acquisition system, Lighting Research & Technology, vol.3, issue.2, pp.123-134, 2006.
DOI : 10.1364/AO.43.000665

R. Myers, H. Montgomery, D. , and C. , Response surface methodology: process and product optimization using designed experiments, 1995.

?. Stat, . Ease, and . Inc, Users Guide: Multifactor RSM & General One-Factor

P. Curkovic, B. Jerbic, and T. Stipancic, Hybridization of adaptive genetic algorithm and ART 1 neural architecture for efficient path planning of a mobile robot, Transaction of FAMENA, 2008.

A. I. Khuri and J. A. Cornell, Response surfaces: design and analyses, 1997.

S. Gupta and C. S. Manohar, An improved response surface method for the determination of failure probability and importance measures, Structural Safety, vol.26, issue.2, pp.123-139, 2004.
DOI : 10.1016/S0167-4730(03)00021-3

Y. F. Li, Uncalibrated Euclidean 3-D Reconstruction Using an Active Vision System, IEEE Transactions on Robotics and Automation, vol.20, issue.1, 2004.
DOI : 10.1109/TRA.2003.820925

S. Raissi and R. E. Farsani, Statistical Process Optimization Through Multi-Response Surface Methodology, Proceedings of World Academy of Science, Engineering and Technology, vol.51, 2009.

J. Denzler and C. Brown, Information theoretic sensor data selection for active object recognition and state estimation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.2, pp.145-157, 2002.
DOI : 10.1109/34.982896

URL : http://www.ecse.rpi.edu/homepages/qji/Papers/active_sensing.pdf

P. Curkovic, B. Jerbic, and T. Stipancic, Cooperative Coevolutionary approach to dual arm robots' operation, Annals of DAAAM for 2008 & PROCEEDINGS of 19th International DAAAM Symposium, pp.341-342, 2008.

P. Curkovic, B. Jerbic, and T. Stipancic, Swarm-based Approach to Path Planning Using Honey-bees Mating Algorithm and ART Neural Network, Solid state phenomena, pp.147-149, 2009.