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Archive for the ‘robotics/AI’ category: Page 1390

Jan 21, 2021

#54: The End of Jobs, with Jeff Wald

Posted by in categories: employment, robotics/AI

Author and entrepreneur Jeff Wald discusses his book “The End of Jobs: The Rise of On-Demand Workers and The Agile Corporation,” on the latest Seeking Delphi™ podcast. The conclusions may not be what you anticipate from the title…

https://www.youtube.com/watch?v=P9DHdbXcoyM


There’s a lot of automation that can happen that isn’t a replacement of humans but of mind-numbing behavior.” –Stewart Butterworth

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Jan 21, 2021

Who needs a teacher? Artificial intelligence designs lesson plans for itself

Posted by in category: robotics/AI

Machines—like people—learn best when tasks are just hard enough.

Jan 21, 2021

Superintelligent AI May Be Impossible to Control; That’s the Good News

Posted by in category: robotics/AI

It may be theoretically impossible for humans to control a superintelligent AI, a new study finds. Worse still, the research also quashes any hope for detecting such an unstoppable AI when it’s on the verge of being created.

Slightly less grim is the timetable. By at least one estimate, many decades lie ahead before any such existential computational reckoning could be in the cards for humanity.

Alongside news of AI besting humans at games such as chess, Go and Jeopardy have come fears that superintelligent machines smarter than the best human minds might one day run amok. “The question about whether superintelligence could be controlled if created is quite old,” says study lead author Manuel Alfonseca, a computer scientist at the Autonomous University of Madrid. “It goes back at least to Asimov’s First Law of Robotics, in the 1940s.”

Jan 20, 2021

Squid-inspired robot swims with nature’s most efficient marine animals

Posted by in category: robotics/AI

Scientists at the University of Southampton and University of Edinburgh have developed a flexible underwater robot that can propel itself through water in the same style as nature’s most efficient swimmer—the Aurelia aurita jellyfish.

The findings, published in Science Robotics, demonstrate that the new underwater robot can swim as quickly and efficiently as the squid and jellyfish which inspired its design, potentially unlocking new possibilities for underwater exploration with its lightweight design and soft exterior.

Co-author Dr. Francesco Giorgio-Serchi, Lecturer and Chancellor’s Fellow, at the School of Engineering, University of Edinburgh, said: “The fascination for organisms such as squid, jellyfish and octopuses has been growing enormously because they are quite unique in that their lack of supportive skeletal structure does not prevent them from outstanding feats of swimming.”

Jan 20, 2021

A technique that allows robots to estimate the pose of objects

Posted by in category: robotics/AI

Humans are able to find objects in their surroundings and detect some of their properties simply by touching them. While this skill is particularly valuable for blind individuals, it can also help people with no visual impairments to complete simple tasks, such as locating and grabbing an object inside a bag or pocket.

Researchers at Massachusetts Institute of Technology (MIT) have recently carried out a study aimed at replicating this human capability in robots, allowing them to understand where objects are located simply by touching them. Their paper, pre-published on arXiv, highlights the advantages of developing robots that can interact with their surrounding environment through touch rather than merely through vision and audio processing.

“The goal of our work was to demonstrate that with high-resolution tactile sensing it is possible to accurately localize known objects even from the first contact,” Maria Bauza, one of the researchers who carried out the study, told TechXplore. “Our approach makes an important leap compared to previous works on tactile localization, as we do not rely on any other external sensing modality (like vision) or previously collected tactile data related to the manipulated objects. Instead, our technique, which was trained directly in simulation, can localize known objects from the first touch which is paramount in real robotic applications where real data collection is expensive or simply unfeasible.”

Jan 20, 2021

Remote control glider sets speed record: 548 mph

Posted by in categories: robotics/AI, transportation

How fast do you think an unmanned aircraft can go? What about an *unpowered* unmanned aircraft? Would you believe 548 mph? It’s true.

Jan 20, 2021

Pizza Hut tests drone delivery to drop zones in Israel

Posted by in categories: drones, government, military, robotics/AI, space travel

Since the dawn of time, humankind has looked to the skies and sought to conquer them. For thousands of years we tried and failed until, at last, we could soar amongst the birds. We built biplanes that danced upon gusts of wind, strapped sails to our back and leapt off fog-drenched mountaintops, launched warplanes into the wild blue yonder to rain terror from above. The heavens were soon streaked with the vapor trails of jumbo jets; the oligarchy used its deep pockets for casual jaunts to the threshold of outer space. And then, with the skies at last firmly in our dominion, we once again turned our eyes upward and declared, “Know what would look great up there? Pizza.”

The technology to flood our skies with millions of pizza boxes does not exist just yet, but it’s taken a huge leap forward in Israel, where, The Wall Street Journal reports, Pizza Hut is launching the world’s first ever full-time drone delivery service. The pilot program is being heavily regulated by the government, and Pizza Hut’s human delivery drivers don’t need to worry about being replaced (yet), as the drones will not be making direct-to-customer drop-offs. Instead, the flying robots will bring multiple orders to designated landing zones outside of Pizza Hut’s normal delivery radius, where they’ll be picked up by a driver who will take the pizzas to their final destinations.

The drones’ home base will be a Pizza Hut located in Bnei Dror in Northern Israel, and will allow the restaurant to provide delivery service to an additional 7000 households. The Ministry of Transportation has limited the drones’ flight area to about 50 square miles, and each drone’s limited battery life means there’s little chance of one going rogue.

Jan 19, 2021

BladeBUG Robots Clean Massive Wind Turbine Blades

Posted by in categories: robotics/AI, sustainability

There were the cleaners, with large padded feet, who were apparently polishing their way the whole length…’ — Arthur C. Clarke, 1972.

IceBot Antarctic (Planetary?) Robotic Explorers Made Of Ice ‘Some will combine in place to form more complicated structures, like excavators or centipedes.’ — Greg Bear, 2015.

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Jan 19, 2021

IceBot Antarctic (Planetary?) Robotic Explorers Made Of Ice

Posted by in categories: robotics/AI, sustainability

BladeBUG Robots Clean Massive Wind Turbine Blades ‘There were the cleaners, with large padded feet, who were apparently polishing their way the whole length…’ — Arthur C. Clarke, 1972.

IceBot Antarctic (Planetary?) Robotic Explorers Made Of Ice ‘Some will combine in place to form more complicated structures, like excavators or centipedes.’ — Greg Bear, 2015.

Continue reading “IceBot Antarctic (Planetary?) Robotic Explorers Made Of Ice” »

Jan 19, 2021

WSR: A new Wi-Fi-based system for collaborative robotics

Posted by in categories: internet, robotics/AI

Researchers at Harvard University have recently devised a system based on Wi-Fi sensing that could enhance the collaboration between robots operating in unmapped environments. This system, presented in a paper pre-published on arXiv, can essentially emulate antenna arrays in the air as a robot moves freely in a 2-D or 3D environment.

“The main goal of our paper was to leverage arbitrary 3D trajectories for a (UAV or UGV) equipped with an on-board estimation sensor,” Ninad Jadhav, one of the researchers who carried out the study, told TechXplore. “This allows a Wi-Fi-signal-receiving robot to estimate the spatial direction (in azimuth and elevation) of other neighboring robots by capturing all the wireless signal paths traveling between the transmitting and receiving robot (which we call AOA profile). Additionally, we also characterized how the trajectory shape impacts the AOA profile using Cramer Rao bound.”

In their previous studies, Jadhav and his colleagues focused on robot collaboration scenarios in which the robots followed 2-D trajectories with a limited set of geometries (e.g., linear or curved). The new system they created, on the other hand, is applicable to scenarios where robots are moving freely, following a wider range of trajectories.