The design for a bus-size vehicle that would repair potholes on the fly at speeds up to 35 mph has received U.S. patent No. 5,746,539. Operated by only the driver, the machine would use a global positioning system to record exactly where and how bad each pothole is. The inventor, Leo M. Mara, of Livermore, CA, is a technician at Sandia National Laboratories, which supports the project. Mara calls his idea the Rapid Road Repair Vehicle. Scanners on the front bumper would detect anomalies on the road surface. High-pressure air would clean and vacuum the spots. On-board image processing would determine if an object is a hole, bump, manhole cover, or crack. If it's a pothole, a phalanx of nozzles would deliver fast-drying filling material to the proper spots. The mixture would be tamped into place, dusted with grit to provide traction, and vacuumed. Finally, another row of scanners would check the quality of the repair. Under ideal conditions, Mara claims, "the vehicle could possibly patch roads at up to 35 mph." Usually, however, he envisions it moving at 10 to 15 mph. "Even at 10 mph," Mara asks, "can you imagine patching 10 miles of road in an hour?" Phone Subra Subramanian at (925) 294-2311.
Are they robots or androids? We're not exactly sure. Each talking, gesturing Geminoid looks exactly like a real individual, starting with their creator, professor Hiroshi Ishiguro of Osaka University in Japan.
Truchard will be presented the award at the 2014 Golden Mousetrap Awards ceremony during the co-located events Pacific Design & Manufacturing, MD&M West, WestPack, PLASTEC West, Electronics West, ATX West, and AeroCon.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.