Robot Erudition
1.0 Introduction
Robot erudition, projected area of study, is a modus operandi that enables a robot to obtain dexterity or acclimatize to its surroundings through studying novel algorithms. Robots are electro-chemical machines that are guided by a computer program. Sensor motor skills such as grasping, locomotion, and dynamic object categorization are attained in this process as well as interactive skills like linguistics and joint manipulation of an object with a human peer. Directly allied to robot learning include: (a) developmental robotics where the quandary of ultimate autonomous acquisition of repertoires of skills is considered, (b) adaptive control, and (c) reinforcement learning (Pak, 2005).
2.0 Mode of operation
As uncomplicated as a robot may materialize, it has an inimitable way in which it maneuvers, while putting into consideration three factors: speed, accuracy, and efficiency. Three focal parts that enable a robot to function include: (1) the controller that is programmed using a hand held device called teach pendant which communicates to the robot, (2) the end of arm tooling (EOAT) that is essential for robotic anatomy and is used for manipulation, (3) the manipulator which ensures that the robot can extend, turn and reach for varying objects (Pak, 2005).
3.0 Problems deciphered by robots
Robots are capable of performing repetitive and precarious tasks that people prefer not to do majorly because of size limitation or intense environmental conditions such as the bottom of the sea and outer space. Robots are fast, efficient, and they have a longer span of producing goods as compared to humans which, therefore, increases the productivity as more goods of high quality are produced (Cameron,1987). This has been coupled with several advantages, especially to companies. The increase in productivity has led to a proportional increase in the profits. Losses have been reduced as flawed products have been trimmed down to almost none. Industries have been able to cut down on cost as few laborers are hired (Jian-Xin, 2011).
4.0 Limitations/Weaknesses of Robots
Production and purchasing of robots is quite expensive, therefore, affordable to just a few individuals. Robots are exclusively designed to perform specific tasks hence not able to malfunction as they would bring about chaos. It has created unemployment since it has taken the place of human personnel. Robots may not be able to respond in times of danger as is not the case with humans. Overdependence on robotic technology is being exhibited by humans and, therefore, hindering creativity and more invention and innovation (Cave, 2007; Winnendael, 1999).
5.0 Future Application of Robotic Technology
Strategies have been put in place to build up remote controlled machines into fully self-sufficient heavy robots by 2021. Some cranes have already been elevated to become remote controlled (Stanovich, 2005). It has been verified that some robots can also perform herding tasks. Ever since the 1960’s, robots gradually being adapted in the manufacturing industry especially in the auto industry. Hospital robots such as the surgical robot (Da Vinci) used in performing surgery and HOSPI robot offers courier services (Milinković, 2005). Boris is a robot designed to load dishwasher hence essential in homes and hotels. Projections on robot timeline include: 2018- robots will characteristically carry out surgery (South Korea), 2030- Robots will perform at most manual jobs (Marshall Brain), 2034-Robots performing household tasks (Helen Greiner) (Porez, 2011).
6.0 Conclusion
Winding up this subject, people should endeavor to help robots learn from natural human instruction as people are benevolent teachers who will help.
References
Milinković, A (2005): Tesla – Wizard and Genius. Belgrade: Zlaja Publisher.
Cameron J. R., Thomson W. T., and Dow A. B. (1987). On-line current monitoring of induction motors. Proc. IEE EMD, 282, 117 -122.
Cave, P. (2007). Can a robot be human?: 33 perplexing philosophy puzzles. Oxford: Oneworld.
Jian-Xin, X, Xue-Lei N. (2011). Analytical control design for a biomimetic robotic fish in Industrial Electronics (ISIE). IEEE International Symposium, 23, 964–869.
Porez, M., Lebastard V., Ijspeert A. J., and Boyer, F. (2011). Multi-physics model of an electric fish-like robot: Numerical aspects and application to obstacle avoidance. In Intelligent Robots and Systems (IROS). IEEE/RSJ International Conference. 146, 1901–1906.
Pak, G. (2005). Robot stories: And more screenplays. San Francisco: Immedium.
Stanovich, K. E. (2005). The robot’s rebellion: Finding meaning in the age of Darwin. Chicago: University of Chicago Press.
Winnendael, M., Visenti, G., Bertrand, R., Rieder, R. (1999). Nanokhod Microrover Heading towards Mars. Proceedings of the Fifth International Symposium on Artificial Intelligence, Robotics and Automation in Space, 440, 69–76.
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