In fact, the process may vary from one individual to the next. One person may apply sealant in one hole, hammer in a bolt, and repeat the process for each hole. Another may apply sealant to all the holes before starting to hammer in the bolts. One robot that might be programmed to help with this process is ABB's two-armed FRIDA. Its arms have a wide range of motion, which Shah said can be manipulated for fastening the bolts or applying sealant to the holes.
The team developed a decision tree computational model. Each branch represents a choice a mechanic might make. For example, after applying sealant to one hole, does the worker apply sealant to the next hole or hammer a bolt into the first hole?
The team trained a laboratory robot to observe an individual's chain of preferences, learning that person's preferred order of tasks. The robot could adapt quickly and either apply sealant or fasten a bolt according to that individual's style of work.
Shah said that in real-life manufacturing settings, many workers wear radio-frequency identification (RFID) tags. Factory robots can be programmed to recognize people they have worked with before (through RFID tags or another method) and initialize the appropriate task plan for that person.
The group will present its findings in July in Sydney at the Robotics: Science and Systems Conference. The research was conducted in collaboration with ABB and supported in part by Boeing Research and Technology.
Nice story, Ann. Yes, working with humans is tough for robots because humans are so unpredictable. Developers of autonomous cars refer to human-driven vehicles as "rogue vehicles." Some suggest that autonomous vehicles could take over the roads today if not for those unpredictable rogues.
Interesting research. There is significant work being done pursuing robots working with humans, and we've featured robots being used as "robotic assistants" in surgery. For use in the factory, I'm sure there are major challenges with safety and other concerns. Thanks.
I imagine this kind of technology would be particularly useful and important in medical applications where the mindmeld, so to speak, between a robotic surgical tool and the actual human surgeon would ensure the best outcome from a patient standpoint.
Ann, this is a very interesting use of robots. It is encouraging that this research is looking at ways for robots to cooperate with humans. Machines are meant to be an extension of ourselves, enabling us to do more in the same amount of time.
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.
Robots that walk have come a long way from simple barebones walking machines or pairs of legs without an upper body and head. Much of the research these days focuses on making more humanoid robots. But they are not all created equal.
The IEEE Computer Society has named the top 10 trends for 2014. You can expect the convergence of cloud computing and mobile devices, advances in health care data and devices, as well as privacy issues in social media to make the headlines. And 3D printing came out of nowhere to make a big splash.
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.