The ins and outs of the technology can admittedly get very complicated but, essentially, autonomous robots are a fusion of (sometimes artificially intelligent) software, physical robotics hardware, and sensors.
With this new application in mobile robotics, the company plans to use its Simultaneous Localization and Mapping (SLAM) technology combined with deep learning and to pioneer in a new generation of robots.
A fully autonomous automobile is able to decide whether it can safely enter an intersection. It is able to decide how to maneuver around other vehicles, people, and other moving objects.
Autonomous vehicle innovators given access to free training and track time for testing and developing their new technologies
The world's leading driverless technology conference, AutoSens (http://www.auto-sens.com), has teamed up with British start-up Self Driving Track Days (http://www.selfdrivingtrackdays.com) to deliver industry-backed test-track events and training workshops for students, SMEs, engineers and technologists wanting to learn about autonomous vehicles.
Bob Violino for ZDNet: Autonomous robots can perform actions or complete tasks with a high degree of autonomy, which makes them ideal for applications such as space exploration or cleaning your living room carpet. Mobile robots are capable of moving from place to place. Put these capabilities together and you got a powerful machine that can handle lots of tasks in industrial environments such as factories, as well as in hospitals, hotels, and other areas. And, in fact, one of the more prominent trends in robotics today is the growing popularity of autonomous mobile robots (AMRs), with new vendors jumping into the market and sales on the rise. AMRs are modular, self-driving mobile robots that can be used for a variety of business applications, such as locomotion, mapping, navigation, and inspection. Cont'd...
Ford, U-M Accelerate Autonomous Vehicle Research with Ford Researchers In-House at New Robotics Lab on U-M Campus
Ford and the University of Michigan today announce they are teaming up to accelerate autonomous vehicle research and development with a first-ever arrangement that embeds Ford researchers and engineers into a new state-of-the-art robotics laboratory on U-M's Ann Arbor campus. While the new robotics laboratory opens in 2020, by the end of this year Ford will move a dozen researchers into the North Campus Research Complex (NCRC). The announcement is the latest in a series of actions by Ford as it moves toward having fully autonomous SAE-defined level 4-capable vehicles available for high-volume commercial use in 2021. Autonomous vehicles are part of Ford's expansion to be an auto and a mobility company. Full Press Release:
Evan Ackerman for IEEE Spectrum: At Georgia Tech, Li Wang and professors Aaron D. Ames and Magnus Egerstedt have been developing ways to allow infinitely large teams of mobile robots to move around each other without colliding, and also without getting in each other’s way. This is very important for people like me, who have 37Roombas at home, but also for anyone imagining a future where roads are packed with autonomous cars. The fundamental issue here is robot paranoia. When robots move around, they typically maintain a sensor-based “panic zone” for safety, and if anything enters that space, they panic, and stop moving. If you have only two robots moving around, they can keep clear of one another, but as the number of robots increases, the odds that two “panic zones” will intersect also increases, to the point where they overlap and you just end up with a completely paralyzing global robot freakout. Or as the Georgia Tech researchers put it (in a much fancier way), “as the number of robots and the complexity of the task increases, it becomes increasingly difficult to design one single controller that simultaneously achieves multiple objectives, e.g., forming shapes, collision avoidance, and connectivity maintenance.” Cont'd...
5D ROBOTICS ACQUIRES UWB TECHNOLOGY LEADER TIME DOMAIN TO ACCELERATE INNOVATION IN AUTONOMOUS VEHICLE NAVIGATION
Time Domain is the leading provider of small, low-power UWB ranging radio and radar sensors which measure distance with an accuracy of 2 centimeters, send data, and detect objects, people and obstacles. 5D has partnered with Time Domain since 2012, adapting the latter's PulsON® ranging radios into precision autonomous navigation and positioning solutions for a wide variety of air and ground vehicles.
Researchers will develop and validate systems that enable teamwork between autonomous vehicles
Renesas Electronics Develops Two-Port On-Chip SRAM Specialized in Improving Video Processing Performance of Vehicles for the Autonomous-Driving Era
Combines High Integration of 6.05 Mb/mm2 (1.8× Previous Level) and 313-Picosecond Fast Read Operation
Gamma 2 Robotics Launches Fully Autonomous Security Robot, Partners with Hexagon Safety & Infrastructure
RAMSEE robot launched at HxGN LIVE, demonstrated with Hexagon software
Europe's most important ADAS conference, AutoSens, (http://auto-sens.com) has confirmed an impressive speaker line-up for this year's event, which will take place in September in Belgium, with big names from OEM, Tier 1 and Tier 2 automotive suppliers.
Tina Amirtha for Benelux: In 2014, three software engineers decided to create a drone company in Wavre, Belgium, just outside Brussels. All were licensed pilots and trained in NATO security techniques. But rather than build drones themselves, they decided they would upgrade existing radio-controlled civilian drones with an ultra-secure software layer to allow the devices to fly autonomously. Their company, EagleEye Systems, would manufacture the onboard computer and design the software, while existing manufacturers would provide the drone body and sensors. Fast-forward to the end of March this year, when the company received a Section 333 exemption from the US Federal Aviation Administration to operate and sell its brand of autonomous drones in the US. The decision came amid expectations that the FAA will loosen its restrictions on legal drone operations and issue new rules to allow drones to fly above crowds. Cont'd...
Keith Naughton for Bloomberg Technology: Brian Lesko and Dan Sherman hate the idea of driverless cars, but for very different reasons. Lesko, 46, a business-development executive in Atlanta, doesn’t trust a robot to keep him out of harm’s way. “It scares the bejeebers out of me,” he says. Sherman, 21, a mechanical-engineering student at the University of Minnesota, Twin Cities, trusts the technology and sees these vehicles eventually taking over the road. But he dreads the change because his passion is working on cars to make them faster. “It’s something I’ve loved to do my entire life and it’s kind of on its way out,” he says. “That’s the sad truth.” The driverless revolution is racing forward, as inventors overcome technical challenges such as navigating at night and regulators craft new rules. Yet the rush to robot cars faces a big roadblock: People aren’t ready to give up the wheel. Recent surveys by J.D. Power, consulting company EY, the Texas A&M Transportation Institute, Canadian Automobile Association, researcher Kelley Blue Book and auto supplier Robert Bosch LLC all show that half to three-quarters of respondents don’t want anything to do with these models. Cont'd...
Combining on-vehicle sensor data with high resolution maps adds another safety level to the autonomous driving system. The automotive industry is looking to its partners and suppliers as they develop HD maps.
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RTX64 turns the Microsoft 64-bit Windows operating system into a Real-time operating system (RTOS). RTX64 enhances Windows by providing hard real-time and control capabilities to a general purpose operating system that is familiar to both developers and end users. RTX64 consists of a separate real-time subsystem (RTSS) that schedules and controls all RTSS applications independently of Windows.RTX64 is a key component of the IntervalZero RTOS Platform that comprises x86 and x64 multicore multiprocessors, Windows, and real-time Ethernet (e.g. EtherCAT or PROFINET) to outperform real-time hardware such as DSPs and radically reduce the development costs for systems that require determinism or hard real-time.