The three waves of robotics | Jeremy Wyatt | TEDxRoma
Intelligent machinery, robots that think are new challenges for us!
From the first robot that carried out simple and repetitive tasks, we have now reached a point where machines are capable of learning, managing uncertain conditions and moving (like the driver-less car, which learns to recognize the road, through sophisticated algorithms, and by a common camera).
In the laboratory, we are working on computers that can anticipate the consequences of their actions and are able to plan their behavior to achieve certain goals. The ability of these new robots to perceive and understand the world around them will bring disruptive innovations and opportunities.
A scientist in the field of robotics and artificial intelligence, he uses algorithms to teach robots to learn from their experience, getting closer and closer to the frontier of the singularity point, in which the distinctions between human and artificial intelligence could be torn down and the concept of ” superintelligence ” could become a reality.
A Professor of Robotics and Artificial Intelligence at the University of Birmingham, and a member of the School of Computer Science , where he is working on learning and self- planning artificial intelligence , he is perfecting prototypes of robots that can , literally , teach themselves . One of the objectives of his work is to equip a robot of explicit representations of what it does and does not know so that his knowledge can be changed as a result of the new activities it performs. This capability allows the programming of robots in harsh environments where they know little.
This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx
Intelligent machinery, robots that think are new challenges for us!
From the first robot that carried out simple and repetitive tasks, we have now reached a point where machines are capable of learning, managing uncertain conditions and moving (like the driver-less car, which learns to recognize the road, through sophisticated algorithms, and by a common camera).
In the laboratory, we are working on computers that can anticipate the consequences of their actions and are able to plan their behavior to achieve certain goals. The ability of these new robots to perceive and understand the world around them will bring disruptive innovations and opportunities.
A scientist in the field of robotics and artificial intelligence, he uses algorithms to teach robots to learn from their experience, getting closer and closer to the frontier of the singularity point, in which the distinctions between human and artificial intelligence could be torn down and the concept of ” superintelligence ” could become a reality.
A Professor of Robotics and Artificial Intelligence at the University of Birmingham, and a member of the School of Computer Science , where he is working on learning and self- planning artificial intelligence , he is perfecting prototypes of robots that can , literally , teach themselves . One of the objectives of his work is to equip a robot of explicit representations of what it does and does not know so that his knowledge can be changed as a result of the new activities it performs. This capability allows the programming of robots in harsh environments where they know little.
This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx
