Robots in the work place can perform hazardous or even 'impossible' tasks; e.g., toxic waste clean-up, desert and space exploration, and more. AI researchers are also interested in the intelligent processing involved in moving about and manipulating objects in the real world.
Students code software at desktops, while others assemble odd machines with wires and multi-colored boxes. Earning a spot at this elite university isn't easy; UC-Berkeley accepted a mere 14.8 percent of applicants for the class of 2020. So this young crew will likely be tomorrow's tech leaders and pioneers. Despite all the promise, it appears that BRETT is struggling. BRETT is a robot, and he – or she, or it – is attempting to place a small wooden block into a small hole. Again and again, BRETT swings his arm over the opening, attempts to place the block, but fumbles. Just can't make it fit. However, as robots go, BRETT has a huge advantage: he can learn. Every time BRETT swings his arm and fails, he calculates what went wrong. In essence he's doing what we humans do: he's failing, and in response he's deciding how to improve the next effort. I stand watching for about 15 minutes, and finally BRETT succeeds – a lengthy period given the simple task. But the astounding point is that the robot really did learn.
A robotic strawberry picker built by AgroBot, a Spanish company. It's being tested in California as hiring laborers becomes increasingly difficult. But for one small corner, agricultural technology, it represents an opportunity. Farmers have been facing an increasingly tight labor market for years. The immigrant workforce that has long picked and packed the nation's fruits and vegetables move to better jobs as soon as they can, replaced by new immigrants.
Thank you for your interest in the Trinity College International Robot Contest. The Trinity College Robot Contest(s) started in 1994 as a small local robotics event and has grown to now include over 100 robot teams from all over the world. It is held annually at Trinity College's campus in Hartford, Connecticut USA.
Do you remember the over-the-top political ad that featured a man representing Rep. Paul Ryan (R-Wisconsin) throwing an elderly woman off a cliff? Well that spot, which took a not so subtle swipe at Ryan's Medicare plan, may have met its match. A newly released ad, also targeted at seniors, aims to portray autonomous cars as four-wheeled killing machines. The ad, which was created by the PAC (political action committee) the Committee to Protect Florida, criticizes Florida State Senate candidate Jeff Brandes (R) because he sponsored legislation to allow driverless cars in Florida. In order to drive the point home, the commercial features a voice over by an elderly woman who seems frightened of autonomous technology.
So it looks like a half-stuffed sock -- and it is, sort of -- but this sandfish-inspired search and rescue robot has the potential to change the way machines maneuver through disaster zones. Playing off its previous endeavors, a team of Georgia Tech researchers has designed a wedge-shaped head to manipulate the vertical movement of its sand-swimming invention through "complex dirt and rubble environments." By mimicking the pointy snout of the sandfish lizard, and attaching it to the body of its robot -- which sports seven servo-powered segments stuffed in a latex sock and sheathed by a spandex "swimsuit" -- the team found that subtle changes in the positioning of the robot's head made for drastic differences in vertical movement. When it was placed flat on the horizontal plane, the robot descended; when it was inclined above seven degrees, it ascended. For now, the robotic sandfish has been relegated to swimming in a sea of tiny yellow balls, but it's slated to dive into a pool of debris in the name of research soon.
Victor David Scheinman, a pioneer in industrial robotics and a longtime Woodside resident, died Tuesday, Sept. 20, of complications of heart disease. Mr. Scheinman, starting as a graduate student at Stanford University, developed a robotic arm that allowed the use of robotics in industry to leap forward. A version of the arm, called the Scheinman Arm, was used for research in dozens of research labs, inspiring a generation of robotics engineers. Stanford professor Bernie Roth, who was at first Mr. Scheinman's adviser at Stanford and later his close friend, said that Mr. Scheinman's robotic arm was unique because it included sensors that gave the feedback to the computer controlling it. Professor Roth said Mr. Scheinman was "tenacious and very active," always trying to figure out how things worked and fixing anything that was broken.
Once a secret project, Google's self-driving cars are now out in the open, quite literally, with the company test-driving them on public roads and, on one occasion, even inviting people to ride inside one of the robot vehicles as it raced around a closed course. Google's fleet of robotic Toyota Priuses has now logged more than 190,000 miles (about 300,000 kilometers), driving in city traffic, busy highways, and mountainous roads with only occasional human intervention. The project is still far from becoming commercially viable, but Google has set up a demonstration system on its campus, using driverless golf carts, which points to how the technology could change transportation even in the near future. Stanford University professor Sebastian Thrun, who guides the project, and Google engineer Chris Urmson discussed these and other details in a keynote at the IEEE International Conference on Intelligent Robots and Systems in San Francisco last month. Thrun and Urmson explained how the self-driving car works and showed videos of the road tests, including footage of what the on-board computer "sees" [image below] and how it detects other vehicles, pedestrians, and traffic lights.
This article is by Featured Blogger Bernard Marr from his LinkedIn page. Cars are increasingly generating more and more data as they become ever more connected and empowered by smart, Internet of Things technology. The need to capitalize on this data is forcing auto manufacturers to rethink their data strategies. Thanks to modern telemetry, vehicles have been gathering and transmitting data on how they are used for several decades. But the real explosion in data volume is down to customer data available from the applications and services available to today's motorists.