Advanced Robotics

Published in

Futures, Entrepreneurship and AI

4 min readSep 30, 2018

TREND: Social robotics

According to the PR Newswire Association LLC 2018, the market size of social robotics is predicted to increase from US$5.438 billion to US$14.911 billion by the year 2023 due to the following reasons:

1. The declining price of the personal robot

2. The aging population

3. The rising prevalence of diseases

4. The high-speed innovation and growing number of players

5. The growing spending power of consumers

6. The rowing the rise in security threat

What is social robotics?

Social robotics is an automated mobile machine using artificial intelligence system to be designed to interact to and show social behavior with humans. For example, Social robotics can assist their owners and have conversations with them.

Social Robotics affects 9 aspects

Wealth distribution: Organization and enterprise have availability of innovation budgets. For example, companies may test social robots and explore the influences on them to see how can they bring more value.

Education: Research shows that children can benefit from interacting with robotics. A Cornell University psychologist who studies robot-human interactions, Solace Shen, says: “Our goal is not to have the robot replace interactions with humans, but more to supplement them.”

Government: If social robots interact with people, they will not only be able to touch and influence, so it may bring harm to people as well. The government needs to set rules in the legal and ethical aspects of social robotics.

Public Health: Reports from The First Deployments of The Social Robots discussed people are generally feeling positive about human to robot interaction. People enjoy interacting with these machines.

Demography: A growth of the aging population in the developed countries. As more and more increased elder population, less manpower in the workforce and elder care will be big problems. By accepting social robotics in our future, people can successfully take the challenge of addressing the issues brought by demography.

Economy: Graetz and Michaels (2015) found that increasing robotic automation can increase added value and labor productivity. In addition to the future impact on productivity and employees, a broader value case dialogue is needed when deploying social robots.

Environment: Technology can be used to help falling populations to create a sustainable society. Robotics can fill in the gaps in the workforce and assist where necessary, while scientific research could focus on sustainable improvements.

Journalism: “More and more news articles are being generated by software designed to spin a story out of various inputs,” says Martin Ford, a Silicon Valley entrepreneur. Robotics has the ability to actually analysis the data and figure out what things are important or interesting.

Media: The real and perceived risks social robot deployment poses to humans can drive down their adoption rate.

Robotics and Artificial Intelligence Evolution Timeline

[1950] — Elsie

A neurophysiology, Walter built wheeled automatons that can recognize the light and darkness.

[1960] — Quicksort

Hoare developed a sort algorithm that is commonly used in machine sorting data.

[1970] — Sharky

First Artificial Intelligence robot that uses a camera, laser range finder and bumps sensors to correct data from the environment.

[1985] — Hero Jr.

A family robot used to amusing family members. The robot can hear the human voice and seek for them.

[1998] — Furby

Fabries can communicate with other nearby fabries by using infrared ports between their eyes.

[1999] — Albo

Albo is a social animal-shaped robot designed by SONY company. The robot can interact with users and respond to about 100 commands.

[2000] — Asimo

A robot designed by Honda. Asimo can walk and move its hands. It can also detect danger then change its direction.

[2011] — Siri

A voice-activated personal assistant.

[2014] — Amazon Alexa

A smart speaker offers personal assistance.

[2015] — Pepper

A social robot can interact with human properly. It can be adopted in the restaurant or home.

[2015] — Tapia

A personal assistant robot designed by Japanese that can have facial expressions.

[2016] — Zenbo

A family robot can move and interact with family members.

[2017] — Jibo

A personal assistant robot can learn from users and offer their needs.

[2018] — Buddy

A family robot has its own personality.

Evolution

Evolution predict

Optimistic Scenario

Through machine learning technology, the robotics will further understand the user’s emotions and habits, provide necessary assistance under appropriate circumstances, or adopt appropriate coping behaviors to develop towards personalization. Social robots will provide more precise and customized personal services. For example, they will be able to get an update individual information through the cloud computing technology. For this reason, they can really get into your social network. By using machine learning technology, they will provide you with more precise needs and maintain your relationship with your family and friends.

Technology