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)
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.
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?)
The algorithms are far simpler than you think because you have a "man-in-the-loop" who can unconciously compensate for fairly large errors. For example, given 2 systems which react with a 30 degree difference in angular movement for the same input - well with one you'll just push a little harder until you get the desired result. You wouldn't even notice it. With fully automated autonomous systems, output must match input exactly or there will be trouble.
Greg, the elderly could certainly benefit if they're among either target group, such as people confined to bed or wheelchairs. Since the technology is still being developed, most of the current learning curve is occurring among experimenters as they learn what thoughts produce what actions. Ideally, there won't be much for users.
Researchers at the University of Maryland have achieved a first in lithium-ion battery science: the development of a successful lithium-based battery using one material for all three core components of a battery -- anode, cathode, and electrolyte.
The online Bar Steel Fatigue Database for automotive design engineers has been updated for the fifth time and now contains 134 iterations, or grade/process combinations. It provides better predictability for designing parts with long-term reliability and durability.
FPGAs use programmable fabric to create custom logic, but this flexibility comes at a cost -- usually around 10 times more silicon real estate and 10 times the power dissipation. Can we really claim any FPGA is low power?
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