Electronic engineers from the R&D department at Philip Morris U.S.A. of Richmond, VA. Work on their Robolab entry.
Engineers are taking on children and college students in a LEGO construction project, striving to see who can develop the best autonomous vehicle. Tuesday, teams came together to spend three hours building Lego vehicles that use National Instruments hardware and software that can follow tape lines to various pickup stations and carry objects back to the starting point.
Wednesday evening, 20 teams will compete to see who can pick up the heaviest payload during their two-minute shot at fame. Not only must the vehicles heft payloads from their station to the dumping base, they must also determine whether it’s best to pick up hefty golf balls, lighter Silly Putty eggs or lightweight cylinders. The fifth annual NI Week contest will also include four judges’ awards in addition to the winner’s prize.
According to a study by the National Institute of Standards and Technology, one of the factors in the collapse of the original World Trade Center towers on Sept. 11, 2001, was the reduction in the yield strength of the steel reinforcement as a result of the high temperatures of the fire and the loss of thermal insulation.
Robots are getting more agile and automation systems are becoming more complex. Yet the most impressive development in robotics and automation is increased intelligence. Machines in automation are increasingly able to analyze huge amounts of data. They are often able to see, speak, even imitate patterns of human thinking. Researchers at European Automation
call this deep learning.
The promise of the Internet of Things (IoT) is that devices, gadgets, and appliances we use every day will be able to communicate with one another. This potential is not limited to household items or smartphones, but also things we find in our yard and garden, as evidenced by a recent challenge from the element14 design community.
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