This may worth something:
Robot learns to set the dinner table by watching humans | Engadget
To date, teaching a robot to perform a task has usually involved either direct coding, trial-and-error tests or handholding the machine . Soon, though, you might just have to perform that task like you would any other day. MIT scientists have developed a system, Planning with Uncertain Specifications (PUnS), that helps bots learn complicated tasks when they'd otherwise stumble, such as setting the dinner table.
To nudge the robot toward the right outcome, the team set criteria that helps the robot satisfy its overall beliefs. The criteria can satisfy the formulas with the highest probability, the greatest number of formulas or even those with the least chance of failure. A designer could optimize a robot for safety if it's working with hazardous materials , or consistent quality if it's a factory model.
Chinese researchers aiming to build liquid metal robots
Chinese researchers at Tsinghua University are in the process of creating liquid metal devices, tools, and eventually special-use robots that are straight out of a Terminator tentpole. In their latest advancement, this ambitious team is now at the stage where a denser-than-water material injected with tiny glass beads could be the ticket to transformable machines and exoskeletons only seen in sci-fi blockbusters.
Similar to mercury, liquid metal has an extremely low melting point, has the ability to float on water, and does not solidify at normal room temperatures. To further the technology, scientists previously designed a controlled actuation of a gallium liquid metal mixed with indium, which could allow for the development of wheeled robots driven by liquid metal droplets.
Robots that admit mistakes foster better conversation in humans | YaleNews
Three people and a robot form a team playing a game. The robot makes a mistake, costing the team a round. Like any good teammate, it acknowledges the error.
" Sorry, guys, I made the mistake this round," it says. "I know it may be hard to believe, but robots make mistakes too."
This scenario occurred multiple times during a Yale-led study of robots' effects on human-to-human interactions.
The study, which published on March 9 in the Proceedings of the National Academy of Sciences , showed that the humans on teams that included a robot expressing vulnerability communicated more with each other and later reported having a more positive group experience than people teamed with silent robots or with robots that made neutral statements, like reciting the game's score.
While you're here, how about this:
How Future Robots Will Impact Mankind | Built In
That's what one of Blake Hannaford's grad students told him recently after encountering some challenges in the lab. A robotics professor at the University of Washington in Seattle, Hannaford knew exactly what he meant.
"I'm never going to rule stuff out," Hannaford, whose work focuses primarily on robotic surgery, said of potential advances. "But if you look back on science fiction from the '50s and '60s and compare it to today, it really missed the mark."
MIT helping robots perform complex tasks without many rules
MIT is developing robots that can learn new tasks solely by observing humans. Credit: Christine Daniloff/MIT
Training interactive robots may one day be an easy job for everyone, even those without programming expertise. Roboticists are developing automated robots that can learn new tasks solely by observing humans. At home, you might someday show a domestic robot how to do routine chores. In the workplace, you could train robots like new employees, showing them how to perform many duties.
Isaac Asimov, the candy store kid who dreamed up robots | Salon.com
This excerpt is adapted from " Generation Robot " by Terri Favro. Published by Skyhorse Publishing, 2020. All rights reserved.
The year 2020 marks a milestone in the march of robots into popular culture: the 100th anniversary of the birth of science fiction writer Isaac Asimov. Asimov coined the word 'robotics', invented the much-quoted Three Laws governing robot behavior, and passed on many myths and misconceptions that affect the way we feel about robots today.
Analysis: Elevate attendees express high interest in warehouse robots
ORLANDO – Interest in learning more about autonomous mobile robots was high among attendees at the Elevate 2020 conference here last week, as companies involved in warehouses or the supply chain look for ways to address labor shortages, improve efficiencies and meet demand from e-commerce initiatives.
The annual event is hosted by HighJump Software, and attracts users and potential customers of its warehouse management and other software offerings. At the show, the company announced that HighJump will become Körber Supply Chain, integrating with Aberle, Aberle Software, Cirrus Logistics, The Cohesio Group, Consoveyo, DMLogic, inconso, Otimis, Langhammer, Riantics and Voiteq.
No comments:
Post a Comment