Need of Robots
Journal: International Journal of Science and Research (IJSR) (Vol.4, No. 9)Publication Date: 2015-09-05
Authors : Radhey Shyam;
Page : 916-922
Keywords : Robotics & Automation R and A; ontology; interoperability; rehabilitation; manufacturing; Robotics Technology Middleware RTM; Robot operating Systems ROS;
Abstract
This paper analyzes the need of robots in present day environment that is, in the growing technology day by day and accidents taking place in various fields causing loss to human life. Robots can be used to the advantages of ontologies and ontological reasoning, such as interoperability of various (heterogeneous) knowledge resources (for example, patient databases or disease ontologies), such an ontology provides the underlying mechanisms for translational physical medicine, from bench-to-bed and back, and personalized rehabilitation robotics. Spatial notions play a vital role when humans interact with robots. Whenever robots are working in dynamic environments which are close to humans, humans must have extensive knowledge of robotics. Otherwise there is a strong need to simplify the user interaction and make the system execute as autonomously as much as possible, as long as it is feasible. In case of industrial robots working side-by-side with humans in manufacturing industry, AI systems are necessary to lessen the demand on programming time and system integration expertise. As robots become more advanced, eventually there may be some standard computer operating system designed mainly for robots, called robot operating system (ROS). Robot Operating System (ROS) is an open source set of programs being currently developed at Stanford University. ROS provides high level commands for items like image recognition and even opening doors, etc. By building a system with proper knowledge and reasoning services can simplify the robot programming sufficiently to meet those demands while still getting a robust and efficient task execution. Robotics & Automation (R & A) quite often involves diverse scenarios where heterogeneous robots has to share their spatial knowledge to achieve a given goal. Such scenarios become more complex when human beings are getting involved. This implies that humans and heterogeneous robots must share their spatial information about the world.
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