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A Southern California police force is welcoming a robot to the department. Huntington Park police say “HP RoboCop” will provide 360-degree high-definition video footage. (June 18)
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A team of researchers from Carnegie Mellon University, in collaboration with the University of Minnesota, has made a breakthrough in the field of noninvasive robotic device control. Using a noninvasive brain-computer interface (BCI), researchers have developed the first-ever successful mind-controlled robotic arm exhibiting the ability to continuously track and follow a computer cursor.

Being able to noninvasively control robotic devices using only thoughts will have broad applications, in particular benefiting the lives of paralyzed patients and those with movement disorders.

BCIs have been shown to achieve good performance for controlling robotic devices using only the signals sensed from brain implants. When robotic devices can be controlled with high precision, they can be used to complete a variety of daily tasks. Until now, however, BCIs successful in controlling robotic arms have used invasive brain implants. These implants require a substantial amount of medical and surgical expertise to correctly install and operate, not to mention cost and potential risks to subjects, and as such, their use has been limited to just a few clinical cases.

These robots will help pave the way for future moon dwellers.

The upgrades include changes to make AI programming simpler—and to speed up powerful machines for specific AI tasks.

The news: The International Supercomputing Conference (ISC) kicked off in Frankfurt yesterday with the release of the latest list of the 500 most powerful supercomputers in the world. US machines still top the ranking, but China has the most computers on the list (219 versus 116 for the US).

Supercomputers have already turbocharged some AI applications. For example. the US’s Summit supercomputer (pictured above), which leads the Top 500, has already run a complex machine-learning model for climate research faster than any other machine.

IoT has arrived on the factory floor with the force of Kool-Aid Man exploding through walls.

A key challenge for robotics researchers is developing systems that can interact with humans and their surrounding environment in situations that involve varying degrees of uncertainty. In fact, while humans can continuously learn from their experiences and perceive their body as a whole as they interact with the world, robots do not yet have these capabilities.

Researchers at the Technical University of Munich have recently carried out an ambitious study in which they tried to apply “active inference,” a theoretical construct that describes the ability to unite perception and action, to a humanoid robot. Their study is part of a broader EU-funded project called SELFCEPTION, which bridges robotics and cognitive psychology with the aim of developing more perceptive robots.

“The original research question that triggered this work was to provide humanoid robots and artificial agents in general with the capacity to perceive their body as humans do,” Pablo Lanillos, one of the researchers who carried out the study, told TechXplore. “The main goal was to improve their capabilities to interact under uncertainty. Under the umbrella of the Selfception.eu Marie Skłodowska-Curie project we initially defined a roadmap to include some characteristics of human perception and action into robots.”

Oh yes.

Robots that can rapidly plan out their movements could accelerate factory automation—and help keep fragile humans safe.

A research group from RIKEN and Kyushu University has developed a new type of material, based on ethylene, which exhibits a number of useful properties such as self-healing and shape memory. Remarkably, some of the materials can spontaneously self-heal even in water or acidic and alkali solutions. The new material is based on ethylene, a compound that is the source of much of the plastic in use today.

Materials that can self-heal have become a popular area of research during the last decade, and a variety of materials have been developed. However, most of the self-healing materials reported to date have relied on sophisticated designs that incorporate chemical mechanisms into polymer networks, such as irreversible or reversible covalent-bond formation, hydrogen bonding, metal-ligand interactions, or ionic interactions. As a result, they require some external stimulus, such as heat or pressure, to prompt them to heal, and in most cases, they do not function in water, acid or alkaline solutions because the chemical networks cannot survive such conditions. The ideal is to create a material that possesses sufficient toughness and can autonomously self-heal under various conditions.

Continue reading “Scientists discover new type of self-healing material” »

Most nanoelectromechanical systems are formed by etching inorganic materials such as silicon. Kopperger et al. improved the precision of such machines by synthesizing a 25-nm-long arm defined by a DNA six-helix bundle connected to a 55 nm-by-55 nm DNA origami plate via flexible single-stranded scaffold crossovers (see the Perspective by Hogberg). When placed in a cross-shaped electrophoretic chamber, the arms could be driven at angular frequencies of up to 25 Hz and positioned to within 2.5 nm. The arm could be used to transport fluorophores and inorganic nanoparticles.

Science, this issue p. 296; see also p. 279

The use of dynamic, self-assembled DNA nanostructures in the context of nanorobotics requires fast and reliable actuation mechanisms. We therefore created a 55-nanometer–by–55-nanometer DNA-based molecular platform with an integrated robotic arm of length 25 nanometers, which can be extended to more than 400 nanometers and actuated with externally applied electrical fields. Precise, computer-controlled switching of the arm between arbitrary positions on the platform can be achieved within milliseconds, as demonstrated with single-pair Förster resonance energy transfer experiments and fluorescence microscopy. The arm can be used for electrically driven transport of molecules or nanoparticles over tens of nanometers, which is useful for the control of photonic and plasmonic processes. Application of piconewton forces by the robot arm is demonstrated in force-induced DNA duplex melting experiments.