A recent announcement from a company that specializes in sensors used for gesture detection sparked thoughts about using this type of control in mechatronic devices. The company mentioned using gesture controls in TV sets and set-top boxes. That type of control works for interactive games, too.
It got me thinking: Why not extend gesture controls to mechatronic devices? A Google search located many academic papers about this type of control, and some ambitious hackers have created gesture controllers for robots that use a Wii game interface or accelerometers. My thoughts tend more to real-world applications, such as teaching robots to mimic human operations (like performing tasks for disabled people based on hand, head, or eye motions) and safety applications that could shut down equipment.
iPoint 3D components from the Fraunhofer Heinrich Hertz Institute (HHI) let people use their fingers to manipulate 3D images.
Mechatronics engineers already have programming languages such as ROBOTC (based on C) and RAIL (based on Pascal) that control robot actions and sensors. But these languages use the same fundamental line-by-line code I learned in the mid-1960s! The mechatronics capabilities of equipment and robots have expanded, but programmers still control them with old-fashioned languages. National Instruments' LabVIEW software provides a higher-level graphical programming approach that better abstracts engineers from languages. So we have taken a step in the right direction.
Most mechatronics engineers would rather tackle new tasks than go through the same coding process to get actuators to move and motors to run. Now vision systems can capture human motions in three dimensions. Some sort of translator could convert this 3D information into similar robotic motions. Likewise, people who create mechatronic protheses could use captured human motions to configure the response of actuators based on sensor inputs in an artificial limb. This sort of thing might seem like science fiction, but I wager we'll see gesture controls in more and more products.
In the area of safety, for example, many machines require operators to place each hand on a control switch before the controller starts any action. Instead of having operators move their hands to special switches, why not simply let them hold up their hands or fingers in front of a gesture sensor? This type of control could improve productivity, reduce the effects of repetitive motions, and improve safety.
What else might clever engineers learn to control using gestures? Discuss in the comment section below.
The Microsoft Kinect's range of uses that have been reported represent just the tip of the proverbial iceburg. I'm certain we will see it being used for many more applications, including those within the areas of robotics.
Respectfully, you may have a misconception about LabVIEW that is (unfortunately) somewhat common. Many people assume that LabVIEW provides an interpreted programming approach because the code is largely represented graphically instead of through text.
The truth is that "G" (i.e. graphical code) in LabVIEW has been a compiled language for several decades now. At the end of code compilation, LabVIEW code is converted into machine code in the same manner as other programming languages. LabVIEW now uses a very powerful, open-source compiler known as LLVM that is also used by industry leaders like Apple, Adobe and Sun Microsystems.
In addition to being able to compile to machine code, LabVIEW code can also be compiled to run on silicon in the form of FPGAs. The reliablity and performance achieved through FPGAs have made popular as part of the control systems in many robotics and mechatronics systems.
You can read more about the LabVIEW compiler here:
I think the idea of extending vision-based gesture recognition to industrial robots makes a lot of sense. We've written about use of the Kinect vision sensor, a major new input device for vision-based gesture recognition, applied to robotics, as well as this robotic gesture-recognition software based on a 3D bend-and-twist fiber optics sensor used in the film industry for motion capture: http://www.designnews.com/author.asp?section_id=1386&doc_id=245683 Interestingly, those researchers said their next rev would be Kinect-based. A different approach we wrote about would help industrial robots predict humans' next moves in assembly based on a decision-tree algorithm: http://www.designnews.com/author.asp?section_id=1386&doc_id=246646 A member of the Embedded Vision Alliance (whose representatives lectured at our recent Digi-Key CEC on embedded vision) has also written this article on vision-based gesture recognition focusing on Kinect, which also discusses software: http://www.digikey.com/us/en/techzone/microcontroller/resources/articles/vision-based-gesture-recognition.html
I agree naperlou - while higher level languages are convenient and typically much easier to use (loved CEC's Testpoint back in the day), nothing beats the control you can get at the lower levels. This coming from someone who still uses assembly when programming PICs- love moving those bits around!
Jon, your idea is interesting, but I think it needs a lot more investigation before being implemented. As for programming the robots, even when you have these high level languages, as in LabView, the code you write is internally stored in a form more like the "older" styles of code you mention. In the end, these things have to be translated into something a computer can understand. That means a formal language that can be compiled, optimized and translated into machine code.In the end, these codes also have to be precise and provable. I see a lot of higher level languages used, but still the lower level ones are needed to do things the developers of the high level codes did not anticipate.
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