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Scientist Controls Multiple Drones Just By Thinking

scientist controls drones by thoughts

Thought Controlled Drones will now make the drones more impressive when compared to the regular remote controlled boring drones. Yes, you read it right! Researchers at Arizona State University have developed a new technology that allows a human to control a troop of robotic drones just by thinking about various tasks.

How does it work? Okay let me explain you- The operator who wants to control a swarm of robotic drones should wear a skull cap which is capable of recording brain electrical activities through 128 electrodes. Then the cap gives an output of instructions to the computer. Then the system through Bluetooth transfers the same information to the drones.

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According to reports, Panagiotis Artemiadis, Director of ASU’s Human-Oriented Robotics and Control stated that they have been working on developing, “a control interface between a human and a swarm of robots by using the brain recordings of the human commander.’

“After analyzing the brain recordings, we found areas of the brain that can be used to control the formation and other collective behaviours of a swarm of drones. We record the electrical activity of those areas using non-invasive methods, and we decode this activity to control variables for the robotic swarm. The human commander can monitor the motion and formation of the robotic swarms in real-time by only thinking about their desired motion,” added Artemiadis.

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He also explained that the brain is wired to control the artefacts which have a look of human limbs. “The complexity of a system that requires the brain to activate areas to control robotic artefacts that do not resemble natural limbs — in our cases a swarm of drones is significant and so far unexplored.”

Artemiadis stated that this development of the technology brought out an interesting thing that certain brain areas can be activated when the human brain recognizes the collective behavior of swarms. And the spellbinding fact is, a brain can adapt to output control actions for a swarm of several robots which is eventually useful in the interaction of the human with robots.

German Scientists Teaching Robots on ‘How to Feel and Retract Basing on Severity of Pain’

robot to feel pain

Pain is one of the important feeling or emotion which alerts about the danger in a human body. Even computers give warnings by some sound or flash signal in case of any mishap or error. But they can’t instantly back away from that work or danger. This is one of the main things which separate humans from Robots. This difference makes them work even in extremely severe conditions.

Now recent ameliorations in the technology are making this gap lessen even more. During the recent IEEE International Conference on Robotics and Automation (ICRA) two researchers named Johannes Kuehn and Sami Haddadin from Leibniz University in Hannover presented an idea for generating robot pain reactions.

They have taken the concept of the reflex-controller from the functioning of the living creatures and which can be applied to the industrial robots.

Build Your Own Robot And Control With Your Hand: Ziro

This same approach was used by the researchers at Stanford University for teaching the industrial robots not to hurt social workers who were around them.

 They also developed a hierarchy on pain and involved vocabulary of experiences for the better understanding of the Robot. They classified pain into different categories like light pain, moderate pain and Severe pain.

An experiment is also done using a Robot Arm, which has a BioTac tactile sensor where the arm reacts instantly depending on the severity of pain. It shows the reaction of the Robot’s Arm while experiencing all the three categories of suffering.

Rise In Artificial Intelligence: FOXCONN Replaces 60,000 Workers with ROBOTS

The demo also shows how the sensitivity of Robot’s Arm is working on constant contacts and the spontaneous reaction of backing up when came in contact with a hot object.

 According to the paper submitted by the duo Johannes Kuehn and Sami Haddadin, “The severe the pain -faster the robot will retract. The stronger the “feeling,” the farther it backs away and the longer it stays there.

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In the case of a Severe pain, where damage level is pretty high, that would completely disable the robot or the things around it. In this situation, the Robot will turn into a still mode waiting for external help. In this way, the Robot would protect itself from causing further damage in the case of a disastrous event which would eventually save money for repairs.

Rise In Artificial Intelligence: FOXCONN Replaces 60,000 Workers with ROBOTS

foxconn

China’s largest contract electronics manufacturer, Foxconn was trying hard from a while to replace workers with robots to save money and raise profits. Finally the company now replaced 60,000 employees with artificial intelligence in just one factory. According to a recent report from the South China Morning Post, Foxconn claims that it has culled the employee strength from 110000 to 50,000 at one factory just by replacing them with robots. The company still has more than 1.2 million employees.

So, as per the recent survey the rise in the artificial intelligence might replace man power with robots in above 600 firms in Kunshan in Jiangsu province, the manufacturing hub where the company is based.

AI Robot to attend China’s National College Entrance Exam in 2017

“We are applying robotics engineering and other innovative manufacturing technologies to replace repetitive tasks previously done by employees, and through training, also enable our employees to focus on higher value-added elements in the manufacturing process, such as research and development, process control and quality control,” a statement of Foxconn Technology Group to BBC reads.

“We will continue to harness automation and manpower in our manufacturing operations, and we expect to maintain our significant workforce in China,” added Foxconn Group.

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In an interview with Fox business, former McDonald’s US CEO Ed Reni who is debating in the $15 per hour minimum wage says, “It’s cheaper to buy a $35,000 robotic arm than it is to hire an employee who’s inefficient making $15 an hour bagging French fries.”

Microsoft also announced that it will let go up to 1,850 employees this week. And as per the South China Morning Post’s post, last year 35 companies spent a total of 4 billion Yuan on artificial intelligence. Well, this replacement might be a major advantage to the Foxconn, as it is been in the controversy of high worker suicides and factory conditions.

Build Your Own Robot And Control With Your Hand: Ziro

A reports of a survey conducted by Deloitte in association with Oxford University, predicts that as many as 35 percent of jobs will be automated within a span of next 2 decades. The Verge says that an even more telling forecast was made by researchers Carl Benedikt Frey and Michael Osborne in their 2013 paper “The Future of Employment,” in which they predicted about 50 percent of jobs will disappear over the next four to five decades.

Build Your Own Robot And Control With Your Hand: Ziro

Ziro

We have seen many types of Robots which are self-controlled, controlled by remote or through smart phones. Latest invention by ZeroUI allows controlling the motion of robot by hand gestures. The first of its kind was named as Ziro (Let your imagination come to life).

Some may call it’s a tiring and tricky thing to do. But it gives the feeling of self-controlled experience which is different from the thing you control.

Ziro comes up with two parts, one of them contains a set of small motors that can shape up a robot and the second one is a Glove, which is green coloured and lined up with motion detectable sensors and flexible strips covering thumb and first two fingers. Linking the two with the help of a mobile application and mapping the gesture to the precise movement of the robot. Gestures like waving, clenching a fist and finger movements can move the robot without any coding.

AI Robot to attend China’s National College Entrance Exam in 2017

The company’s main idea is to introduce robotics to people by removing the obstacles & creating user interfaces. It is also a better way for educating children to build robots with the broken toys or good stuff like card boxes in the house by just connecting them to the modules in the kit. They can design their robot from a car to a dragon.

The modules in the kit are possessed with a 360-degree rotation and can use 3D printings on it. Ziro can be used in many ways, and it’s excellent one for the students to learn designing and building of robots in a simple manner. Ziro works on the local WIFI network, and a unique mobile application is needed initially for mapping up the gestures.

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The actuator modules are made of ABS while the gloves are built with spandex, faux leather and flex and sensors. Built up with internal rechargeable Li-on battery with a charging time of 2.5 hrs and it weighs about 105 grams. Whereas the gloves are weighing 12 grams are lined up with flexible sensors and 5-axis inertial measurement. The maximum play time is 4 hrs and the charging time needs to full charge the Li-on battery is 2 hrs.

Ziro comes in two editions namely starter and pro. The starter version of Ziro includes the smart glove, two modules, the Smartphone app, and a phone mount for $149.

Ingestible Origami Robot Can Deliver Drugs And Remove Swallowed Batteries

The Pro edition adds another two modules, assembly parts for the Rover and Trike designs and a 360-degree rotating phone amount for $199.That price will rise to $249 once the campaign ends. The firm had started an Indiegogo campaign for crowd fundraising.

The company had arranged a short demo at the Consumer Electronics Show in Las Vegas, which received a very positive response from the audience. We can expect the shipping of the product to the customers from January 2017.

Ingestible Origami Robot Can Deliver Drugs And Remove Swallowed Batteries

Ingestible Origami Robot

The University of Sheffield and Tokyo Institute of Technology have demonstrated a tiny Ingestible Origami Robot that can deliver drug and remove a swallowed button battery or a patch wound.

A team of the researcher of MIT CSAIL has developed a tiny origami robot which can unfold itself from the ingested capsule to complete the particular task within the body.

The robot can remove the objects, and it can patch wounds, or it can deliver medicine at designated locations. This new ingestible robot built on many previous works of origami robots. However, the design of the body is significant.

“It’s exciting to see our small origami robots doing something with important potential applications to health care,” says Rus. “For applications inside the body, we need a small, controllable, untethered robot system. It’s tough to control and place a robot inside the body if the robot is attached to a tether.”

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The challenge with this ingestible origami robot is to find the Bio – Compatible materials that are easy to be controlled and maneuver to the types of operations that are in need from the Robot.

The Ingestible Origami Robot researchers are presenting this at the International Conference on Robotics and Automation later this week. The research group consists of CSAIL (Computer Science and Artificial Intelligence Laboratory) Director Daniel Rus, Andrew and Erna Viterbi Professor in (Dept of Electrical Engineering and Computer Science) MIT’s.

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To address this challenge, the research has tested over to a dozen different possibilities for the structured material. In United Sates alone some 3,500 swallowed button batteries are reported every year. But Miyashita employed a smart strategy to remove the ingested button cells and treatment of wounds was a compelling application to origami robot.

“This ingestible origami robot is highly creative and highly practical in an elegant way.” says Bradley Nelson, a professor of robotics at the Swiss Federal Institute of Technology Zurich.

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Daniel Rus, Director, MIT CSAIL said that to do more experiments on adding sensors to robots and redesign the Robots so that it could be able to control itself without the need of external magnetic field.

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