The Socio-technical Plan in Robotics

We live in a dynamic and energetic world that is undergoing rapid change, while being surrounded by chaos and uncertainty. There is almost no way to predict what the future will be like based on what is known now. Business organizations realize that innovation of existing systems with the interaction between humans and technology such as robotics is crucial, particularly in the computing world, in an aggressively competitive business environment as shown below.

Introduction

In organizational development, a social-technical plan involves a system of arranging and designing complex work that integrates technology with human interaction in the workplace. (Long, 2013). Complex infrastructures and human behaviors interact to form the social-technical system. This refers to the interrelatedness of organizations or societies as a whole in terms of social and technical aspects (Trist, & Bamforth, 1951). The use of technology to advance learning and creative expression is a topic that academicians and higher education leaders often discuss in education. It is possible to apply robotics to a socio-technical educational system as one of the technologies.

Scope

The New Media Consortium (2016) predicted that robotics can be used in higher education to assist students to become better problem solvers in the next five years. A sociotechnical process can be used to interact with humanoid robots and help people with disabilities develop social skills and communicate better. 

It is no secret that robotics is having a significant impact on higher education. In the air traffic management field, drone air traffic control is a priority. Every year, an annual robotics law and policy conference brings together designers, builders, and manufacturers to discuss the legal and social structures. Thus, in the field of mechatronic systems, students can study autonomous mobile robots for a variety of disciplines (NMC Horizon, 2016)

            There are many compelling benefits of robotics, which make them popular in industry. Typical features include the following:

  1. Educating.
  2. Acquiring Knowledge.
  3. Inquiry into creativity.

 1.     Educating

In association with the National Science Foundation (NSF), the U.S. universities Emory University, Georgia Institute of Technology, etc. Are offering bachelor's, master's, and doctoral degree programs in healthcare robotics.

2.     Acquiring Knowledge

Medical students have been trained and clinical procedures have been performed with the assistance of robots.

3.     Creative inquiry

Researchers in robotics investigated social skills through the use of robots for middle school children, creating curriculum modules to enable them to communicate with each other. It is important to note that robotics has several limitations in addition to the enlightening features. These are some common limitations:

·       As a result of the complexity of human systems, robotic applications like humanlike robots encounter hurdles. Robots that resemble humanoid creatures, for example, are difficult to create from human intellectual assets. 

·       In spite of the development of robot applications, robotics' hardware is still undergoing development.

·       It is difficult to categorize robotics software. Different robotics software platforms are available that are manufactured by diverse companies. Software for robotics is not standardized.

Purpose

Robotics is becoming more practical and less futuristic with an increased focus on practical applications. It is becoming possible to perform useful, complex, and dangerous tasks with robots that have recently become less clumsy and more humanlike (Picard, 2016). Human advancing robotics in socio-technical plan aims to use affective computing in the design of robots to balance emotion and cognition to adapt or accommodate human needs and demands in many fields including manufacturing, healthcare, mining, defense, security, transportation, securities, home appliances, particularly education regarding using affective computing in robotics design that balances emotion and cognition.






References

Long, S. (2013). Socioanalytic methods: discovering the hidden in organisations and social systems. Karnac Books.

New Media Consortium, (2016). NMC horizon. Retrieved April 18, 2016, from

http://www.nmc.org/nmc-horizon/

Picard, R., (2016). Affective computing. Retrieved May 25/2016 from

http://affect.media.mit.edu/

Trist, E. L., & Bamforth, K. W. (1951). Some social and psychological consequences of the Longwall method. Human relations, 4(3), 3-38.

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