By focusing their attention on patterns created by flickering lights on a PC screen, which are associated with specific actions, users can control which actions they want a robot to perform, where the robot moves, and how it interacts with its environment. (Source: CNRS-AIST Joint Robotics Laboratory)
Yes, if paraplegics and quadriplegics could benefit from this technology, that would indeed be wonderful. I wonder if the other groups like the elderly could also benefit? (Or would the technology learning curve be a little too steep?)
That's right, Rob, paraplegics and quadriplegics (tetraplegics) are one target group for this technology, for actual physical robotic embodiment a la Avatar. Under the VERE project aegis, the other target group consists of rehab training for people temporarily confined to a bed or wheelchair.
Engineers at Fuel Cell Energy have found a way to take advantage of a side reaction, unique to their carbonate fuel cell that has nothing to do with energy production, as a potential, cost-effective solution to capturing carbon from fossil fuel power plants.
To get to a trillion sensors in the IoT that we all look forward to, there are many challenges to commercialization that still remain, including interoperability, the lack of standards, and the issue of security, to name a few.
This is part one of an article discussing the University of Washington’s nationally ranked FSAE electric car (eCar) and combustible car (cCar). Stay tuned for part two, tomorrow, which will discuss the four unique PCBs used in both the eCar and cCars.
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