Controlled via a tablet by health professionals, Zora can lead a physical therapy class, read out TV programmes, weather forecasts or local news.
From Evan Ackerman at IEEE Spectrum: Right now, the New Economic Summit (NEST) 2016 conference is going on in Tokyo, Japan. One of the keynote speakers is Andy Rubin. Rubin was in charge of Google’s robotics program in 2013, when the company (now Alphabet) acquired a fistful of some of the most capable and interesting robotics companies in the world. One of those companies was SCHAFT, which originated at the JSK Robotics Laboratory at the University of Tokyo... ... SCHAFT co-founder and CEO Yuto Nakanishi climbed onstage to introduce his company’s new bipedal robot. He explains that the robot can climb stairs, carry a 60-kg payload, and step on a pipe and keep its balance. It can also move in tight spaces, and the video shows the robot climbing a narrow staircase by positioning its legs behind its body (1:22). In a curious part of the demo (1:36), the robot is shown cleaning a set of stairs with a spinning brush and what appears to be a vacuum attached to its feet... ( article )
Not many students can claim they have hands-on experience with automation and robotics going into an interview. Looking at the question with a macro lens, our students are offered job opportunities on being well-rounded, even at the sophomore-level when many accept summer/semester-long internships.
Efficient 3D Object Segmentation from Densely Sampled Light Fields with Applications to 3D Reconstruction
From Kaan Yücer, Alexander Sorkine-Hornung, Oliver Wang, Olga Sorkine-Hornung: Precise object segmentation in image data is a fundamental problem with various applications, including 3D object reconstruction. We present an efficient algorithm to automatically segment a static foreground object from highly cluttered background in light fields. A key insight and contribution of our paper is that a significant increase of the available input data can enable the design of novel, highly efficient approaches. In particular, the central idea of our method is to exploit high spatio-angular sampling on the order of thousands of input frames, e.g. captured as a hand-held video, such that new structures are revealed due to the increased coherence in the data. We first show how purely local gradient information contained in slices of such a dense light field can be combined with information about the camera trajectory to make efficient estimates of the foreground and background. These estimates are then propagated to textureless regions using edge-aware filtering in the epipolar volume. Finally, we enforce global consistency in a gathering step to derive a precise object segmentation both in 2D and 3D space, which captures fine geometric details even in very cluttered scenes. The design of each of these steps is motivated by efficiency and scalability, allowing us to handle large, real-world video datasets on a standard desktop computer... ( paper )
The result of this rung-in change is intended to be that man and machine respectively do what they can do best. The weaknesses of one are compensated for by the strengths of the other.
Although I mention "robot integrator" in the title specifically, these principles can be applied to any business within the industry, including: Custom Machine Builders, Controls Integrators, Engineering Companies and more.
From LAUNCH Festival 2016: CafeX unveils fully automated robotic cafe at Launch Festival; companion iOS & Android app will allow users to order drinks prior to arrival; works w/ local coffee growers in ea mkt; cafe is ~60 sq ft & is open 24 hrs/day.
The Changing Role of Robotics in Materials Handling: Industrial Journalist Thomas R. Cutler Interviews Steven Hogg of Bastian Robotics
Short-term, robotic integration will continue to grow as companies continue to establish automation plans, and long-term, robotic automation will be a standard in every facility. This will be a requirement for companies to compete in the global marketplace.
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 )
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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.