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robots.net - Physics-based Planning - 0 views

  • Later this month, Carnegie Mellon's CMDragons small-size robotic soccer team will be competing again at RoboCup, to be held in Singapore. CMDragons has tended to find their edge in their software as opposed to their hardware. Their latest software advantage will be their new "physics-based planning", using physics to decide how to move and turn with the ball in order to maintain control. Previous control strategies simply planned where the robot should move to and shoot from, assuming a ball placed at the front center of the dribbler bar would stay there. The goal of Robocup is to create a humanoid robotic soccer team to compete against human players in 2050. Manuela Veloso, the professor who leads the Carnegie Mellon robotic soccer lab, "believe[s] that the physics-based planning algorithm is a particularly noteworthy accomplishment" that will take the effort one step closer to the collective goal.
mikhail-miguel

Scary Smart: The Future of Artificial Intelligence and How You Can Save Our World - 0 views

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    One of The Sunday Times Business Books of the Year Artificial intelligence is smarter than humans. It can process information at lightning speed and remain focused on specific tasks without distraction. AI can see into the future, predicting outcomes and even use sensors to see around physical and virtual corners. So why does AI frequently get it so wrong? The answer is us. Humans design the algorithms that define the way that AI works, and the processed information reflects an imperfect world. Does that mean we are doomed? In Scary Smart, Mo Gawdat, the internationally best-selling author of Solve for Happy, draws on his considerable expertise to answer this question and to show what we can all do now to teach ourselves and our machines how to live better. With more than 30 years' experience working at the cutting-edge of technology and his former role as chief business officer of Google [X], no one is better placed than Mo Gawdat to explain how the Artificial Intelligence of the future works. By 2049, AI will be a billion times more intelligent than humans. Scary Smart explains how to fix the current trajectory now, to make sure that the AI of the future can preserve our species. This book offers a blueprint, pointing the way to what we can do to safeguard ourselves, those we love and the planet itself.
Aasemoon =)

Brain-controlled prosthetic limb most advanced yet - 0 views

  • Scientists at the Johns Hopkins University Applied Physics Laboratory (APL) were awarded no less than $34.5 million by the Defense Advanced Research Projects Agency (DARPA) to continue their outstanding work in the field of prosthetic limb testing, which has seen them come up with the most advanced model yet. Their Modular Prosthetic Limb (MPL) system is just about ready to be tested on human subjects, as it has proved successful with monkeys. Basically, the prosthetic arm is controlled by the brain through micro-arrays that are implanted (gently) in the head. They record brain signals and send the commands to the computer software that controls the arm. To be honest, it will be interesting to see just how these hair-chips are attached to the brain, but the APL say clinical tests have shown the devices to be entirely harmless. The monkeys didn’t mind them too much, at least.
Aasemoon =)

QTC Technology - 0 views

  • The potential for the QTC material to transition from an insulator to a conductor (i.e. change its electrical property) is influenced by how much deformation the material is experiencing as a result of the applied mechanical pressure. QTC can be used to produce low profile, low cost, pressure activated switches or sensors that display variable resistance with applied force and return to a quiescent state when the force is removed. The difference between a QTC switch and a QTC sensor is arguably only the speed and amount of physical input required to achieve the required switching point or resistance range.
Aasemoon =)

・e-nuvo HUMANOID - 0 views

  • The Nippon Institute of Technology, with Harada Vehicle Design, ZMP, and ZNUG Design, have developed a humanoid robot about the size of an elementary school student for educational purposes.  The university adopted 35 of ZMP’s e-nuvo WALK robots in 2004 for a 1:1 student-robot ratio.  Whereas the e-nuvo WALK (the educational version of NUVO) is quite small, the new robot is tall enough to interact with its environment in a more meaningful way.  Students will demonstrate the robot at elementary and junior high schools, as well as care facilities.  The goal is to improve student learning by raising awareness of bipedal robot technology and its connection to math and physics, while also giving them hands-on experience with the bot.  Additionally, by visiting care facilities the university students will come to understand the real-world needs and applications for robots.
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