With every advance in robotics, we get closer to being able to order stuff from Amazon and have no human being participate in its delivery. Key step in this dream warehouse robots, smart forklifts able to control and inventory and entire warehouse full of pallets, without the meat community getting involved.It consists of five LEGO Mindstorms robots working in concert, linked via WiFi to a central laptop. Mindstorms’ native OS doesn’t support WiFi (!!!) so he reflashed the EV3’s ARM9 chip with software developed using Java and running under LeJOS. On the laptop side wrote a C++ application that handles the coordination and routing of the forklifts. We can see a lot of weary forklift drivers ready to kick back and let a robot have the full-time job for a change.
CNBC’s Andrew Ross Sorkin interviews Sophia, a humanoid robot, about the future of artificial intelligence at a Future Investment Institute panel in Saudi Arabia on Wednesday.
» Subscribe to CNBC: http://cnb.cx/SubscribeCNBC
More on Sofia:
To Anyone who wonders who is the “hippie” on stage. According to Wiki, this amazing human is called Ben Goertzel (born December 8, 1966 in Rio de Janeiro, Brazil) is Chief Scientist of financial prediction firm Aidyia Holdings and robotics firm Hanson Robotics; Chairman of AI software company Novamente LLC, which is a privately held software company; Chairman of the Artificial General Intelligence Society and the OpenCog Foundation; Vice Chairman of futurist nonprofit Humanity+; Scientific Advisor of biopharma firm Genescient Corp.; Advisor to the Singularity University; Research Professor in the Fujian Key Lab for Brain-Like Intelligent Systems at Xiamen University, China; and general Chair of the Artificial General Intelligence conference series, an American author and researcher in the field of artificial intelligence. He was the Director of Research of the Machine Intelligence Research Institute (formerly the Singularity Institute).
Jimmy Fallon demos amazing new robots from all over the world, including an eerily human robot named Sophia that plays rock-paper-scissors.
Which robot do you find easier to like — “Iron Man” Tony Stark’s efficient helper J.A.R.V.I.S., or the error-prone Dummy, which fumbled with kitchen equipment and sprayed an exasperated Stark with fire-extinguishing foam?
You might think a robot would be more likely to win people over if it were good at its job. But according to a recent study, people find imperfect robots more likable.
In previous studies, researchers noticed that human subjects reacted differently to robots that made unplanned errors in their tasks. For their new investigation, the study authors programmed a small, humanoid robot to deliberately make mistakes so the scientists could learn more about how that fallibility affected the way people responded to the bots. They also wanted to see how these social cues might provide opportunities for robots to learn from their experiences. [Super-Intelligent Machines: 7 Robotic Futures]
The researchers found that people liked the error-prone robot more than the error-free one, and that they responded to the robot’s mistakes with social signals that robots could possibly be trained to recognize, in order to modify future behavior.
For the study, 45 human subjects — 25 men and 20 women — were paired with a robot that was programmed to perform two tasks: ask interview questions, and direct several simple Lego brick assemblies.
For 24 of the users, the robot behaved flawlessly. It posed questions and waited for their responses, and then instructed them to sort the Lego bricks and build towers, bridges and “something creative,” ending the exercise by having the person arrange Legos into a facial expression to show a current emotional state, according to the study.
But for 21 people in the study, the robot’s performance was less than stellar. Some of the mistakes were technical glitches, such as failing to grasp Lego bricks or repeating a question six times. And some of the mistakes were so-called “social norm violations,” such as interrupting while their human partner was answering a question or telling them to throw the Lego bricks on the floor.
The scientists observed the interactions from a nearby station. They tracked how people reacted when the robots made a mistake, gauging their head and body movements, their expressions, the angle of their gaze, and whether they laughed, smiled or said something in response to the error. After the tasks were done, they gave participants a questionnaire to rate how much they liked the robot, and how smart and human-like they thought it was, on a scale from 1 to 5.
The researchers found that the participants responded more positively to the bumbling robot in their behavior and body language, and they said they liked it “significantly more” than the people liked the robot that made no mistakes at all.
However, the subjects who found the error-prone robot more likable didn’t see it as more intelligent or more human-like than the robot that made fewer mistakes, the researchers found.
Their results suggest that robots in social settings would probably benefit from small imperfections; if that makes the bots more likable, the robots could possibly be more successful in tasks meant to serve people, the study authors wrote.
Science and technology are extremely popular with today’s children and youth; they are also a pathway to career opportunities in the future. Engaging in technology activities when young can help to stimulate interest in those fields, develop mastery of necessary technologies, and energize the classroom.
Our little botz will be equipped with STEM knowledge and creative problem-solving skills that is necessary to be innovative and creative thinkers.
We seek to create environments where learning happens in a hands-on and motivational way.
Not every kid may move on to become a dedicated hobbyist who creates original mechanical projects, but all of them can benefit from the skills they will learn with educational robotic kits.