A 3D structured-light imaging system creates the human-like capabilities deployed in the design of a Robomotive humanoid robot jointly developed by Yaskawa Motoman, Beltech, and Robotiq. The so-called eyes of the system make it possible to identify a product and its surroundings (packaging or a pallet) and determine the product's orientation within the 3D space.
In integrating humanoid adaptive servo-grippers with 3D vision and smart software, the goal for the design is a new generation of robots that can lower tooling costs over conventional systems.
The Robomotive design includes humanoid adaptive servo-grippers, integrated 3D vision, and smart software. The goal is to save on the tooling costs compared with using conventional systems. (Source: Robomotive BV)
The human-like arms and grippers use common controls to work together or independently. For example, each arm lift a different product, and the arms can work together to assemble them. A seven-axis design (as opposed to the typical six-axis design) provides the flexibility to work with objects of different sizes.
An interesting aspect of this system is its targeting of factory automation applications. Potential uses include small bin picking setups where parts are constantly changing and robotic solutions would have been ruled out in the past. The system has already been deployed in small batch automation processes with large mix of parts, and tasks normally accomplished using manual labor. Applications where the humanoid robot excels include tasks where there is advantage of the two arms working in tandem, or if it is difficult for a one-armed robot to accomplish the motions in a limited working area.
A key technological advantage of this system, according to its makers, is that users don't need to spend time or money changing the hardware environment; the Robomotive can be placed in a workstation and trained to do the task a human would do. The user can load a lot of programs, so tasks can be switched easily and quickly.
This humanoid robot (featured in the Robomotive video below) highlights how this technology is being adapted to industrial environments. The ability to use 3D vision and coordinate two independent arms opens up new possibilities for automating repetitive manual tasks.
Thanks for your viewpoint. Also, I didn't know Baxter used open source software: I'll need to investigate this development method further. I know Rodney Brooks is an advocate for the Maker Movement and could be the reason for using open source software with Baxter. Oh, I just realized, Rodney's use of open source software could be from his MIT research days with cognitive based robots like Cog and Kismet
Just noticing that a lot of these systems are just being employed doing simple pick and place and as such could be reduced to a mere 2-3 axes and cost reduced even further. The key in this robots flexibility is then reduced to the adaptive nature of gripper assembly. Robotiq got this right. Baxter is first and foremost a collaborative robot and is designed to work side by side, if not even interact with humans in the same environment, hence it's compliant spring loaded joints with load cells.
mrdon, open source software is a major aspect of Baxter and how it's been designed to be different from other industrial robots, as we covered here http://www.designnews.com/author.asp?section_id=1392&doc_id=259420 http://www.designnews.com/author.asp?section_id=1386&doc_id=263186
Thanks for the clarifying the Open Source question I had about Baxter. I'm quite fascinated by this technology and how its becoming more main stream in small tech businesses and major corporations. Thanks for the additional links related to this topic.
Interesting post, Al. The way the different technologies are combined is really interesting especially at the industrial side of robotics. After watching the video I feel these robots have movements similar to humans.
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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