HUMAN-ROBOT INTERACTION


Across many application domains, future robots are expected to work in human environments, side by side with people. Interactions between robots and their users will take many forms, from a trained factory operator supervising several manufacturing robots, to an older adult receiving care from a rehabilitation robot. The users will also vary substantially in background, training, physical and cognitive abilities, and readiness to adopt technology. Robotic products are expected to not only be intuitive, easy to use, and responsive to the needs and states of their users, but they must also be designed with these differences in mind.


The U.S. robotics industry largely collapsed in the 1980s, with a substantial market share decline to below 10% of global sales. In the last 20 years this market has revived, with the industrial robot manipulators of the 1980s now being augmented with new and different forms of robots. Surgical robots, sentry robots, and household robots emerged as new sub-markets presently exceeding the industrial robot sector. Although the industrial robots for manufacturing (e.g., for welding, painting, handling) are still dominated by foreign industry, new markets for service robots were created by U.S. inventors, U.S. Government initiatives, and U.S. investors and are now dominated by U.S. industry. One of the key discriminators between industrial robots and these new robotic systems is the elimination of the requirement of complete isolation of the industrial robot from humans; such large, fast and dangerous machines are best kept away from areas where people work. The new markets focus on robots that work beside, or cooperatively with, people to extend or augment human capacities.


“WE COME IN PEACE”:   A PRACTICAL DISCUSSION ON THE IMPACT OF ARTIFICIAL INTELLIGENCE  IN OUR COMMUNITIES

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  1. Human-Robot Interaction: The study of interactions between humans and robots. It is often referred as HRI by researchers.


  1. Smart Cities & IOT:

  2. An urban development vision to integrate information and communication technology (ICT) and Internet of things (IoT) technology in a secure fashion to manage a city's assets.


  3. Self-Driving Vehicles:

  4. Vehicles that are capable of sensing its environment and navigating without human input.


  1. Cognitive Computing:

  2. The simulation of human thought processes in a computerized model involving self-learning systems that use data mining, pattern recognition and natural language processing to mimic the way the human brain works.


AI IN OHIO


  1. Self-Driving Cars:

  2. How It Will Work

  3. HRI: Yaskama Motomon/WatsonPaths

  4. Smart Cities’ Efforts



IMPORTANT ISSUES


  1. For Citizens

  2. For Researchers

  3. For Municipalities


  1. SIGAI NEWSLETTER


  2. AI Matters: Features an article about the panel.










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