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.
In many places in China and Japan - and now in Southern California - Chinese cooking, serving and noodle-cutting robots are entertaining customers and helping out in the kitchen.
From OpenROV: OpenROV Trident Features: Depth: Capable of 100m (will ship with a 25m tether - longer tethers will be sold separately) Mass: 2.9 kg Top Speed: 2 m/s Run Time: 3 hours Connectivity The data connection to Trident is a major evolution from the connection setup of the original OpenROV kit. It uses a neutrally buoyant tether to communicate to a towable buoy on the surface (radio waves don't travel well in water) and the buoy connects to the pilot using a long range WiFi signal. Using a wireless towable buoy greatly increases the practical range of the vehicle while doing transects and search patterns since a physical connection between the vehicle and the pilot doesn't need to be maintained. You can connect to the buoy and control Trident using a tablet or laptop from a boat or from the shore... ( preorder $1,199.00 )
Missy Cummings for Wired: Drones are a big business and getting bigger, a reality that comes with both economic opportunities and risks. The UAV market is set to jump from $5.2 billion in 2013 to $11.6 billion in 2023. Opportunities for delivery services, cinematography, and even flying cell towers could introduce thousands of jobs and reinvigorate an ailing aerospace market. At the same time, drone sales to hobbyists have exploded. Registered drone operators in the US now outnumber registered manned aircraft. In tandem with that growth, close calls with commercial aircraft have more than doubled in the past two years. An analysis of FAA reports by Bard College’s Center for the Study of the Drone counts 28 instances in which pilots changed course in order to avoid a collision. Cont'd...
Joan Lowy for PHYS.org: Self-driving cars are "absolutely not" ready for widespread deployment despite a rush to put them on the road, a robotics expert warned Tuesday. The cars aren't yet able to handle bad weather, including standing water, drizzling rain, sudden downpours and snow, Missy Cummings, director of Duke University's robotics program, told the Senate commerce committee. And they certainly aren't equipped to follow the directions of a police officer, she said. While enthusiastic about research into self-driving cars, "I am decidedly less optimistic about what I perceive to be a rush to field systems that are absolutely not ready for widespread deployment, and certainly not ready for humans to be completely taken out of the driver's seat," Cummings said. It's relatively easy for hackers to take control of the GPS navigation systems of self-driving cars, Cummings said. "It is feasible that people could commandeer self-driving vehicles ... to do their bidding, which could be malicious or simply just for the thrill of it," she said, adding that privacy of personal data is another concern. Cont'd...
Prosthetic technology is advancing rapidly, but not without sticking points.
Sher Minn Chong wrote a good introductory to image processing in Python: In this article, I will go through some basic building blocks of image processing, and share some code and approaches to basic how-tos. All code written is in Python and uses OpenCV , a powerful image processing and computer vision library... ... When we’re trying to gather information about an image, we’ll first need to break it up into the features we are interested in. This is called segmentation. Image segmentation is the process representing an image in segments to make it more meaningful for easier to analyze3. Thresholding One of the simplest ways of segmenting an image isthresholding. The basic idea of thresholding is to replace each pixel in an image with a white pixel if a channel value of that pixel exceeds a certain threshold... ( full tutorial ) ( iPython Notebook )
Using MapleSim, engineers created multiple models of robotic manipulator in time previously required to create just one model.
From MIT: This week a postdoc at MIT’s Computer Science and Artificial Intelligence Lab (CSAIL) developed a Trump Twitterbot that Tweets out remarkably Trump-like statements, such as “I’m what ISIS doesn’t need.” The bot is based on an artificial-intelligence algorithm that is trained on just a few hours of transcripts of Trump’s victory speeches and debate performances... ... ( MIT article ) ( twitter feed )
If you can envision a shot, the drone can probably help achieve the photograph or video.
Lisa Eadicicco for Time: Drones can already follow professional snowboarders as they speed down a slope or keep up with mountain bikers racing through rocky terrain. But drone-equipped athletes are usually required to keep their phone nearby, since the aerial devices often rely on handheld devices’ GPS signal to track a person’s location. DJI’s newest drone, the Phantom 4, claims to eliminate that hassle. The company says the Phantom 4’s new ActiveTrack feature uses the drone’s front-facing sensors to see and track a target. “Being able to learn about the object, as it squats, as it rotates, as it turns, is really complicated,” says Michael Perry, DJI’s director of strategic partnerships. “When you’re flying toward something, you have to make a decision to fly around it, fly above it, or stop. And to train the system to learn those different functions is also a big challenge.” Cont'd...
A lot of really smart people in technology took Confucius' advice, "Choose a job you love and you will never have to work a day in your life."
We believe that RPA will be a game changer and that automating repeatable, simple tasks will free up employees to do higher-value work.
MARK BLUNDEN for Evening Standard: A delivery robot tested among the crowds of central London is set to start being deployed in the capital. The self-driving, battery-powered box on wheels is poised to undertake local delivery trials in Greenwich following 3,000 hours of testing. The robots by Starship Technologies have been described as “ground drones” and were created by former Skype co-founders Ahti Heinla and Janus Friis. Their invention is expected to be popular at smaller local businesses, such as bakeries and corner shops, that could send out the robot containing goods in its tub body costing only a pound or two. Cont'd...
Spread , a vegetable producer, said industrial robots would carry out all but one of the tasks needed to grow the tens of thousands of lettuces it produces each day at its vast indoor farm in Kameoka, Kyoto prefecture, starting from mid-2017. The robots will do everything from re-planting young seedlings to watering, trimming and harvesting crops. The innovation will boost production from 21,000 lettuces a day to 50,000 a day, the firm said, adding that it planned to raise that figure to half a million lettuces daily within five years. “The seeds will still be planted by humans, but every other step, from the transplanting of young seedlings to larger spaces as they grow to harvesting the lettuces, will be done automatically,” said JJ Price, Spread’s global marketing manager. The new farm – an extension of its existing Kameoka farm – will improve efficiency and reduce labour costs by about half. The use of LED lighting means energy costs will be slashed by almost a third, and about 98% of the water needed to grow the crops will be recycled. The farm, measuring about 4,400 sq metres, will have floor-to-ceiling shelves where the produce is grown... ( cont'd )
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Our fully autonomous intelligent vehicles will help you to transform the way you move materials and route your workflows. Increase throughput, eliminate material flow errors, improve traceability, maximize flexibility and allow your employees to focus on higher level tasks. Unlike traditional AGV's, our mobile robotics navigate using the natural features of your facility and do not require expensive facility modifications or guidance. Our AIV's can adapt to changes in their environment and work freely and safely with your staff. Our mobile robots are intelligent enough to quickly learn their environment and then automatically find the optimal path to where they need to go. They also automatically make adjust for dynamic environments and can work together in fleets of up to 100 robots.