The fore-runner of brain communication to a robot is Neuroprosthetics, which is an area of neuroscience concerned with neural prostheses. That is, using artificial devices to replace the function of impaired nervous systems and brain related problems.
The system can locate cattle and their available forage over large areas, measure crop height, and generate topographic maps and models for land leveling and drainage applications.
This is the third of a 4-part series by KC Robotics about the automated arc welding industry.
From Studio diip : “Fish on Wheels” has been developed so fish can steer their tank into a certain direction. Our pet fish have always been limited to their water holding area known as “the fish tank”. In an attempt to liberate fish all over the world, the first self driving car for fish has been developed. This car moves by detecting the fish’s position with computer vision. Up until now driving vehicles has been limited to mankind only (excluding a handful of autonomous vehicles driven by computers), but now your pet fish can also put the pedal to the metal. A prototype version of ”Fish on Wheels” has been constructed using a standard webcam, a battery powered Beagleboard and an Arduino controlled robot vehicle. Using the contrast of the fish with the bottom of the fish tank his position is determined and used to send commands to the Arduino for moving the car into that direction.
From the projects' kickstarter ($104,217 pledged of $5,000 goal): uArm is a 4-axis parallel-mechanism robot arm, inspired by the ABB PalletPack industrial robot arm IRB460. ($185 for complete black kit and a gripper) The basic design is Arduino-controlled with 4 degrees of freedom. Three servos on the base control the main movement of the arm and the mini servo on the top moves and rotates the object. The end-effector of the arm is always kept parallel to the ground. Right now we have already developed a Windows application that allows the uArm to be controlled with keyboard or mouse. With some basic controlling skills, you can use basically any input device to control it, for example, we have also used other remote controller to control the arm. With our imbedded inverse-kinematics algorithm, the uArm can be precisely controlled using coordinates. We have also written an Arduino library specifically for controlling the uArm. So if you are familiar with Arduino, you can program it directly with Arduino IDE. By calling different functions, you can easily move uArm to your desired position without doing tons of hard math... cont'd
Clearpath Robotics has posted part one and two of their ongoing introductory to the ROS operating system: Part One: Intro Since we practically live in the Robot Operating System (ROS), we thought it was time to share some tips on how to get started with ROS. We’ll answer questions like where do I begin? How do I get started? What terminology should I brush up on? Keep an eye out for this ongoing ROS 101 blog series that will provide you with a top to bottom view of ROS that will focus on introducing basic concepts simply, cleanly and at a reasonable pace... cont'd Part Two: Setup And Example In the previous ROS 101 post, we provided a quick introduction to ROS to answer questions like What is ROS? and How do I get started? Now that you understand the basics, here’s how they can apply to a practical example. Follow along to see how we actually ‘do’ all of these things…. cont'd
Our goal is to share stories about companies that are using automation to succeed and compete effectively in their marketplace.
The BeagleBone Black is the latest low cost single-board computer in the BeagleBoard family.
The mastery we developed of ROBOTMASTERs capabilities, combined with our expertise in orthoses and prostheses, permitted us to develop proprietary, patented milling strategies, conceived specifically for, and ideally suited to, our highly specialised business.
For security and convenience, the facility keeps human entry to a minimum. The robotic crane and rail system delivers possessions out of the facility.
Ancor knew there had to be a better and more efficient way to manage the label packaging process - which had a 10-hour or less nightly production timeframe and a client-mandated 100% verification process.
From Recode: Google is shelling out $400 million to buy a secretive artificial intelligence company called DeepMind. Google confirmed the deal after Re/code inquired about it, but declined to specify a price. Based in London, DeepMind was founded by games prodigy and neuroscientist Demis Hassabis, along with Shane Legg and Mustafa Suleyman... cont'd Additionally, a recently published paper by DeepMind entitled Playing Atari with Deep Reinforcement Learning .
From the Prosthesis projects Indiegogo campaign : Prosthesis: the world's 1st, human controlled racing robot. Formula 1, meet the future. Let the races begin. We are trying to save the future for the humans. With the relentless and unchecked automation of everything we do, we are trying to remind people that technology was invented to improve our quality of life, and that doesn't always mean just doing everything for you. Sometimes that means doing something really, really challenging. Sometimes that means taking on something that many have dreamed of, but no one has dared try before. Like building and learning to pilot a two story tall, 3500kg walking machine that you use your whole body to control, without computers to help you.... cont'd at homepage and Indiegogo .
Jet Propulsion Laboratory's Youtube Channel :
NASA : NASA engineers are developing climbing legs for the International Space Station's robotic crew member Robonaut 2 (R2), marking another milestone in space humanoid robotics. The legless R2, currently attached to a support post, is undergoing experimental trials with astronauts aboard the orbiting laboratory. Since its arrival at the station in February 2011, R2 has performed a series of tasks to demonstrate its functionality in microgravity. These new legs, funded by NASA's Human Exploration and Operations and Space Technology mission directorates, will provide R2 the mobility it needs to help with regular and repetitive tasks inside and outside the space station. The goal is to free up the crew for more critical work, including scientific research.
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