Service robotics market size is estimated to reach USD 21.7 billion by 2022, growing at over 17.8% from 2015 to 2022
JG Randall for The National Interest: Things tend to happen in threes. An unlikely triumvirate on the surface, it would appear that Asimov’s laws on robotics and the UN Convention on Conventional Weapons (CCW) will outflank the Third Offset—the nation’s search for its next silver bullet in war fighting is robotics—knowing that many nations will agree on moral grounds. These nations will reject Asimov based on semantics, and though the debate might be perceived as strictly academic, or even rhetorical, it is worth discussing for the sake of a good cautionary tale. Because, whether we like it or not, killer bots are coming to a theater of operation near you.
Before we get deep in the weeds, let’s get some clarity. First, let’s outline Asimov’s robotic laws. The Three Laws of Robotics are a set of rules devised by the science fiction author Isaac Asimov. They were introduced in his 1942 short story “Runaround,” although they had been foreshadowed in earlier stories. Cont'd...
Phys.org: Soft robots do a lot of things well but they're not exactly known for their speed. The artificial muscles that move soft robots, called actuators, tend to rely on hydraulics or pneumatics, which are slow to respond and difficult to store.
Dielectric elastomers, soft materials that have good insulating properties, could offer an alternative to pneumatic actuators but they currently require complex and inefficient circuitry to deliver high voltage as well as rigid components to maintain their form—both of which defeat the purpose of a soft robot.
Now, researchers at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) have developed a dielectric elastomer with a broad range of motion that requires relatively low voltage and no rigid components. They published their work recently in Advanced Materials. Cont'd...
Thomas Claburn for InformationWeek: Among programmers, there's a principle called DRY, which stands for "Don't repeat yourself." It's an attempt to avoid writing code that duplicates the function of other code.
DRY embodies the same resistance to needless repetition as the more common idiom, "Don't reinvent the wheel."
Among those making robots, a group that includes software and hardware engineers attempts to adhere to these principles, as can be seen in designs that borrow from nature, from the evolved forms of life on Earth.
Biomimicry and bioinspired design provide a way to avoid reinventing the wheel. The biological systems of living things have been honed through eons of Darwinian user testing.
Borrowing aspects of animal physiology isn't the only option or necessarily the best option for robot designers. For some purposes, something new may be necessary. For others, biomechanically systems can't be easily duplicated. Cont'd...
CADE METZ for WIRED: HANNS TAPPEINER TYPES a few lines of code into his laptop and hits “return.” A tiny robot sits beside the laptop, looking like one of those anthropomorphic automobiles that show up in Pixar’s Cars movies. Almost instantly, it wakes up, rolls down the table, and counts to four. This is Cozmo—an artificially intelligent toy robot unveiled late last month by San Francisco startup Anki—and Tappeiner, one of the company’s founders, is programming the little automaton to do new things.
The programs are simple—he also teaches Cozmo to stack blocks—but they’re supposed to be simple. Tappeiner is using Anki’s newly unveiled software development kit—an SDK, in coder parlance—that he says even the greenest of coders can use to tweak the behavior of the toy robot. And that’s a big deal, at least according to Anki. The company claims the SDK is the first of its kind: a kit that lets anyone program such an intelligent robot, a robot that recognizes faces and navigates new environments and even mimics emotions. With the kit, Tappeiner says, “we’re trying to advance the field of robotics.” He compares the move to Apple letting people build apps for the iPhone. Cont'd...
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