From 7Bot's Kickstarter campaign: In 2014, two of us co-founded project uArm with other two makers. There we received a lot of feedback from our Angel backers: More axis for more powerful applications, and more controlling dimensions (force control, speed control and flexible-joint). More rugged material rather than Acrylic, muscular servos hardly to be burned out. More intelligent API. Better inverse kinematics and path planning algorithms to make the movement more precise and smooth. More accessories and various of end-effectors. Our custom servos with precise position feedback allow you to quickly set it up and operate in teaching mode without any codes. In this mode, you can simply drag each joint of the robot to a serious of desired way points. The movements will be recorded, and could be replayed in an optimized path. A multi-platform supported 3D visualization application will be provided for you to manipulate the 7Bot Arm intuitively. With our 3D visualization application, you can easily set and read the position of each joint separately with real-time graphic interface. If you have two 7Bot Arms, you can build this amazing Humanoid robot -7Bot Arm Dual: Estimated shipping date is January 2015... (7Bot's Kickstarter campaign)
From uBreakiFix's Youtube channel:
Animated retelling of a Buckminster Fuller story and Ephemeralization (doing more with less):
Reliability, ability to travel across varied terrains, and accurate operation are essential elements for the drive system and camera controls on mining rescue robots.
PRENAV's drones take photographs from precise locations in close proximity to structures, and those photos are then used to build an accurate 3D reconstruction of the asset.
Bot-maker Savioke announces an open-source wrapper for Intel's RealSense Camera, adding another low-cost 3D sensing solution to the roboticist's toolkit. The wrapper will allow developers to make use of the RealSense Camera, which enables robots to sense rich three-dimensional environments. "Intel RealSense Cameras bring great low-cost depth sensing to robotics, in a platform that is widely available and easy to integrate using ROS," says Steve Cousins, CEO of Savioke. Until recently, bot makers looking to incorporate 3D sensing on the cheap have relied on a sensor made by Israeli company PrimeSense. But in late 2013 PrimeSense was acquired by Apple for $350M, an indication of just how much potential the Cupertino-based giant sees in 3D sensing technology. Since the acquisition, robot developers have been eager for a flexible and cheap depth sensor. Intel, meanwhile, is making an aggressive move into the world of robotics, and the company was thrilled to offer ROS support for RealSense.
From the Instapainting Blog: Over the past three weeks I’ve been working on a robotic painter to research the area of mechanical artwork reproduction and automated picture to painting creation for Instapainting.com and the print store e-commerce platform A Manufactory . The initial prototype was built in about 3 weeks, and currently does mechnical reproductions. The AI painting mode which will paint a photograph will follow in the next post (putting some finishing touches on it)... ...The current prototype operates on 3 dimensions: X, Y, and a Z axis for pen pressure from the Wacom tablet. The artist can control the motion from a Wacom tablet and, for the most part, it’s lag-free. Every stroke is recorded so that it can be played back. You can see both the intitial painting and the playback in the video below... ( full post )
A small California company uses their expertise and the latest in reliable technology to design, prototype, and produce multifunctional bio-mechanical gloves aimed at providing users with a more normal life experience.
Stony Brook University Helps Prepare Next Generation of Farmers by Introducing a Hydroponic 'Freight Farm' On Campus
Cited as 4th most environmentally responsible university* in 2015, SBU is first higher ed campus to get a Freight Farm.
By Dominic Basulto for the Washington Post: Researchers at MIT have just unveiled the ability to 3-D-print beautiful glass objects. While humanity has been forming, blowing and molding glass objects for more than 4,500 years, this is the first time that a 3-D printer has been used to process glass from a molten state to an annealed product. Obviously, there are some purely aesthetic applications here, as in the potential for epic blown glass art. Think museum-worthy glass objects worthy of Dale Chihuly. In fact, the MIT team — a collaborative team of researchers that includes the MIT Media Lab’s Mediated Matter group, the MIT Glass Lab and MIT’s Mechanical Engineering Department — plan to display a few of their beautiful objects at an upcoming exhibition at the Cooper Hewitt, Smithsonian Design Museum in 2016. But the applications go beyond just beautiful new designs that might be created via 3-D printers one day. As the MIT research team points out in a forthcoming paper for the journal 3-D Printing and Additive Manufacturing, “As designers learn to utilize this new freedom in glass manufacturing it is expected that a whole range of novel applications will be discovered.” That’s the real future potential of glass 3-D printing — the ability to create objects and applications that do not exist today. Cont'd...
The purpose of this program is to help graduates prepare for career opportunities in a variety of positions in field including automation, process control, PLCs, robotics, packaging, power generation, mining, machine design, and building automated systems, maintenance, transportation, systems integration, component testing, technical sales, quality control and a host of other fields.
The robotics industry is booming in China. Companies are deploying thousands of robots in all types of factories, particularly in the auto industry. Chinese companies that manufacture robots and their components are also growing. This article will focus on the 107 makers of those robots.
Mike Elgan for Computer World: Consumer drone technology is barely taking off, and already a harsh public backlash is growing. Your typical garden variety consumer drone is lightweight, battery operated, has four propellers and is controlled by a smartphone. Most have cameras and beam back live video, which can be recorded for posterity. Some have high-quality HD cameras on them, and from that high vantage point can take stunning photos and videos. Drones are fun. They're exciting. They're accessible. But increasingly, they're becoming unacceptable. I'm sensing a growing backlash, a kind of social media pitchfork mob against drones and drone fans. It's only a matter of time, and not much time, before it will be politically incorrect to express any kind of enthusiasm for drones in polite company. I fear that many are about to embark on an "everybody knows drones are bad" mentality that will suppress the nascent industry and spoil this innovative and exhilarating technology. Here's what's driving the coming backlash: Cont'd...
From AMREL: You know how the stuntmen make fast cars drift in action movies? Have you ever wanted to make a remote-controlled toy car drift like that? Of course you have. If there ever were awards for endeavors that sound silly, but is actually technically interesting, then the folks at MIT’s Aerospace Controls Lab would surely be nominated. Unmanned systems are rarely fully autonomous. Instead, researchers are pursuing “sliding” autonomy, i.e. an operator retains control, while some behaviors are made autonomous. Aerospace Controls Lab decided to teach a remote-control toy car how to autonomously drift. They started by running their learning algorithm through simulations. Information from these simulations was transferred to performance modifiers. When the car was run through its drifting actions in reality, the algorithm was constantly modified. The result is a car that can maintain drifting in a full circle even when salt is added to the floor, or another vehicle interferes with it.
This Article contains the interview of Japan Robot Association`s Administration Department General Manager Mr. Shigeaki Yanai.
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Universal Robots is a result of many years of intensive research in robotics. The product portfolio includes the UR5 and UR10 models that handle payloads of up to 11.3 lbs. and 22.6 lbs. respectively. The six-axis robot arms weigh as little as 40 lbs. with reach capabilities of up to 51 inches. Repeatability of +/- .004" allows quick precision handling of even microscopically small parts. After initial risk assessment, the collaborative Universal Robots can operate alongside human operators without cumbersome and expensive safety guarding. This makes it simple and easy to move the light-weight robot around the production, addressing the needs of agile manufacturing even within small- and medium sized companies regarding automation as costly and complex. If the robots come into contact with an employee, the built-in force control limits the forces at contact, adhering to the current safety requirements on force and torque limitations. Intuitively programmed by non-technical users, the robot arms go from box to operation in less than an hour, and typically pay for themselves within 195 days. Since the first UR robot entered the market in 2009, the company has seen substantial growth with the robotic arms now being sold in more than 50 countries worldwide.