Modelling of Unmanned Ground Vehicle (UGV) for Ground Surveillance and Combat against Insecurity

Almeida, F. & Lopes, A. (2008). A force-impedance controlled industrial robot using an active robotic auxiliary device. Robotics and Computer-Integrated Manufacturing, 24(3):299-309. Arbib, M. A. (1981). Perceptual structures and distributed motor control: In V.B. Brooks, editor. Handbook of Physiology, volume II of Section 2: The Nervous System, Motor Control, Part 1, American Physiological Society, pages 1449 – 1480. Arend Hintze (2016). Understanding the four types of artificial intelligence. Michigan State university. Arno, H. A. S., Edsko, E. G., Frans, C. T. V., Herman, V. (2009). Self-aligning exoskeleton axes through decoupling of joint rotations and transactions. IEEE transactions on robotics. Vol. 25(3), pp. 628-632. Arya W., Habibollah B. H. (2004). Industrial Robot Simulation Software Development Using Virtual Reality Modeling Approach (VRML) and MATLAB-Simulink Toolbox. University Teknologi, Malaysia. Baki K., Mehmet G. (2007). Software Development for the Kinematic Analysis Of A AL5B Robot Arm. Pwaset, volume 24, ISSN 1307-6884. Beale M.H.; Hagan M.T. and Demuth H. B. (2015),“Neural Network Toolbox,” The User’s Guide.The MathWorks, Inc. Ben Coppin (2004). Artificial Intelligence Illuminated. 1st edition. Jones and Bartlett Publishers, Inc. Bennis, N., Roby-Brami, A. (2002). Coupling between reaching movement direction and hand orientation for grasping. Brain Research, vol. 952(2) pp. 257–267. Bongard, J. C. (2008). Behavior chaining: incremental behavioral integration for evolutionary robotics. In Artificial Life XI. Cambridge, Massachusetts: MIT Press, pp. 64–71. Bongard, J. C. (2010). The utility of evolving simulated robot morphology increases with task complexity for object manipulation. In Artificial Life, vol. 16(3), pp. 201–223. Braintenberg, V. (1984). Experiments on synthetic psychology. MIT press, U.S.A. ISBN 10:0262022087 & 13:9780262022088. ***** Butterfass, M., Fischer, J.,Grebenstein, M., Haidacher, S., and Hirzinger, G. (2004). Design and experiences of robotics. Int. Conf. on Robotics and Automation (ICRA), volume 2, pp. 907–912. Chaoqun Xiang, Jianglong Guo and Jonathan Rossiter (2019). Soft-smart robotic end effectors with sensing, actuation, and gripping capabilities. Smart Materials and Structures, IOP Publishing limited. vol. 8(05). Pp. 10. Chun, H. A., Khin T. L., Yin M. M. (2008). SS Modeling Motion Control System for Motorized Robot Arm using MATLAB", Proceedings of World Academy of Science, Engineering and Technology Vol. 32, ISSN 2070-3740. Craig, J. J. (1989). Introduction to Robotics. Reading, MA: Addison-Wesley, 2nd ed. Daffodil M. Canson; Catherine Lynn T. Silao and Salvador Eugenio C. Caoili (2019). Functional analysis of Galt variants found in classic galactosemia patients using a novel cell-free translation method. Research Report, 48(1). Pp. 60-68. Daniel Crevier (1996). AI: The Tumultuous History of the Search for Artificial Intelligence. Basic Books. Desmurget, M., Prablanc, C., Arzi, M., Rossetti, Y., Paulignan, Y. and Urquizar, C. (1996). Integrated control of hand transport and orientation during comprehension movements. Experimental Brain Research, vol. 110(2) pp. 265–278. Druin, A. A., Hendler, J. (2000). Robotic development. San Francisco, CA: Morgan Kaufmann. Filip Jan; Martin Azkarate, and Gianfranco Visentin (2017). "Trajectory control for autonomous planetary rovers." In 14th Symposium on Advanced Space Technologies in Robotics and Automation (ASTRA). Floreano, D., Husbands, P., Nolfi, S. (1991). Evolutionary Robotics. Springer handbook of robotics. 3rd edition, Pp. 1423-1451. Gentilucci, M., Castiello, U., Corradini, M. L., Scarpa, M., Umilta, C. and Rizzolatti, G. (1991). Influence of different types of grasping on the transport component of prehension movements. Neuropsychologia, vol.29(5):361–378. George F. Luger (2002). Artificial Intelligence: Structures and Strategies for Complex Problem-Solving. Addison Wesley. Gomi T. and Ide K. (1998). Emergence of gaits of a legged robot by collaboration through evolution, IEEE world Congr. Comput. Intell. IEEE Press, New York. Haykin, S. (1999). Neural networks: A comprehensive foundation. New Jersey: Prentice Hall Inc. Ichinose, G. & Sayama, H. (2014). Evolution of Fairness in the not Quite Ultimatumgame. Sci. Rep. 4. Ildiko, P., Radu, ?., Florin, P. (2007). The VRML Model and VrSimluation for A Scara Robot, Annals of The Oradea University. Fascicle of Management and Technological Engineering. Vol. 7(16), pp. 907-912. Javier, A. P., Fani, D., Daniele, R., Guang-Zhong, Y. (2016). Artificial Intelligence and Robotics. UK-RAS Network Robotics & Autonomous System. P. 56. Johan, J. C. (2005). Introduction to Robotics Mechanics and Control. Prentice Hall, 3rd Edition, pp. 109-114. Jones, T. (2007). Artificial Intelligence: A Systems Approach. Infinity Science Press. Keymeulen, D.; Durantez, M. Konaka, M.; Kuniyoshi, Y. and Higuchi, T. (1997). Laszlo, J. L., Van de Panne, M., Fiume, E. (1996). Limit cycle control and its application to the animation of balancing and walking. In Proc. Int. Conf. Computer Graphics and Interactive Techniques. Pp. 155-162. Lehman, J., Miikkulainen, R. (2013). Neuroevolution. Scholarpedia, vol. 8(6), p. 30977. Lewis, F. L. (1999). Nonlinear Network Structures for Feedback Control. Asian journal of Control, vol. 1, issue 4, pp. 205-228. Lipson, H., Bongard, C. J., Zykov, V., and Malone, E. (2006). Evolutionary robotics for legged machines: From simulation to physical reality. In Proceedingsof the 9th International Conference on Intelligent AutonomousSystems, pp. 11–58. Lovchik C. &Diftler, M. A. (2004). The robonaut hand: A dexterous robot hand for space. In Proc.World Automation Congress, Seville. Luh, J. Y. S., Walker, W. M., Paul & R. P. (1980). On-Line Computational Scheme for Mechanical Manipulators. Journal of Dynamic Systems, Measurement, and Control, vol. 102(2), pp. 69 - 76. Manseur, R. (1996). A Software Package for Computer-Aided Robotics Education. 26th Annual Frontiers in Education, Vol. 3 pp.1409-1412. Marco, F., Butzler, J., Schlick, C. M. (2015). Human-robot cooperation in future production system: Analysis of requirements for designing an ergonomic work system. Chair and institute of industrial engineering and ergonomics, vol. 3, pp. 510-517. Mark, W. S., Seth, H., Vidyasagar, M. (2005). Robot Modeling andControl. John Wiley & Sons, 1st Edition. Martin, R. (2000). Web Based Robot Simulation Using VRML. Proceedings of the 2000 inter Simulation Conference. Marzke, M. W. (1992). Evolutionary development of the human thumb. Hand Clinics, vol. 8(1), pp. 1–8. Mataric, M., Cliff, D. (1996). Challenges in evolving controllers for physical robots. Robot. Autonomous Syst., vol. 19 (1). Pp. 67-83. Mchale, G. and Husbands, P. (2004). GasNets and other evolvable neural networks applied to bipedal locomotion. In: From Animat 8: Proc. 8-th Int. Conf. Simul. Adapt. Behav., SAB’2004, ed. By S. Schaal. MIT Press, Cambridge, pp. 163-172. Miall, R. C., Weird, D. J., Wolpert, D. M., Stein, J. F. (1993). Is the celebellum a smith predictor? J. Mot Behav. Vol. 25, pp. 1265-1279. Michalewicz, Z. (1996). Genetic algorithms + data structures = evolution programs. Springer- Verlag, 3rd edition. Miller, A. T., Allen, P. K. (1999). Examples of 3d grasp quality computations. IEEE International Conference on Robotics and Automation, vol. 8, pp. 1240–1246. Miller, D. P., Stein, C. (2000). So That's What Pi is For and Other Educational Epiphanies from Hands-on Robotics, in Robots for kids: Exploring new technologies. Mita, T., Yamaguchi, T., Kashiwase, T., Kawase, T. (1994). Realization of a high speed biped using modern control theory. Int. J. Control, vol.40 (1). Pp. 107-119. Mohammed, A. Q., Iyad, A.,