Thursday, July 6, 2017

2017 NIST Agile Robotics for Industrial Automation Competition (ARIAC)

This year NIST organized a simulation based competition called Agile Robotics for Industrial Automation Competition (ARIAC). The idea was to move away from traditional robots that execute preprogrammed motion. Teams were challenged to build a system that can dynamically respond to failures in grasping, defective parts, and priority orders. Teams were expected to do this by using the minimum number of sensors. The task in the competition was focused on building assembly kits. The robot had to pick parts from bins and a conveyor and place them on automated guided vehicles.

Please see for details on this competition.

My group fielded a team in ARIAC. Team members included Matt Buckley and Brual Shah. Competition results were announced on July 5, 2017. Please see for details. I am happy to report that our team won the competition.

You can check out our
competition entry in the video shown below.

Wednesday, July 5, 2017

Effectively Utilizing Advanced Manufacturing Requires a New Approach to Closing Skills Gap

Advances in manufacturing technologies are fundamentally changing the nature of work at manufacturing enterprises. As new technologies are deployed, a large number of workers find themselves with obsolete skills and lose jobs. On the other hand, companies that are contemplating deploying new manufacturing technologies are unable to find workers with the right skills and hence many available manufacturing positions remain vacant.

The rate of rapid changes in manufacturing technologies is pointing to a future where major manufacturing technology refresh will occur every five to ten years. This means that a worker will need to face the challenge of skill obsolescence multiple times in a typical career. Overcoming this challenge using the current workforce education and training paradigm is not practical. Not finding a scalable solution to this challenge will lead to a major disruption to the way of life for the middle class.

Over the last few years, I have interacted with workers, companies, and colleges and discussed challenges and opportunities in the manufacturing workforce training area. Based on my analysis, the main challenges are the following:

  1. Acquiring new manufacturing skills often requires six months or more. Displaced workers are economically vulnerable and simply do not have cash reserves to complete the training. 
  2. Many displaced workers do not have math and programing prerequisites to learn advanced manufacturing technologies. Completing these prerequisites takes extra time. 
  3. Many advanced manufacturing technologies are expensive. Colleges and training institutes are unable to acquire them in sufficient quantities to rapidly build the capacity needed to retrain the workforce. 
  4. Workers are unable to travel to far away training locations for long periods of times to complete the training due to family constraints and/or economic considerations.
The workforce retraining will need to occur frequently. Therefore, simply relying on government grants to sustain the current training models will not suffice. Manufacturing enterprises have embraced innovations and learned how to deliver personalized products at low costs with highly compressed schedules. Once we start viewing the workforce training enterprise as a part of the manufacturing supply chain, we realize that many principles that led to significant efficiency gains in manufacturing will be applicable to the work training as well. We should aim to realize a new workforce training enterprise with the following attributes:
  1. Enable trainees to participate in training remotely. 
  2. Accelerate the training process. 
  3. Reduce time needed to complete prerequisites. 
  4. Leverage spare capacity on existing machines to reduce capital investments.
Unfortunately, there is no simple solution to meet these needs. The solution will require development of new technologies and pedagogical tools to accelerate learning, commitment from individuals to life-long learning, and cultures at companies to incentivize acquisition of new skills. Government will also need to provide education based tax credits. Colleges will need to master the agile manufacturing principles to quickly roll out new programs to meet emerging needs. Addressing the workforce training challenge this will be a step towards solving the most pressing societal problem faced by the advanced economies.

Sunday, July 2, 2017

Why Automation is a Key to Innovation?

Every week I see news items that identify automation as a major threat to jobs. This is beginning to paint automation as an enemy of financial well-being of a large segment of human population. However, there is a different side to the automation story. Automation has been a major force behind many modern innovations and associated industries. Unfortunately, the connection between automation and innovation has not received much attention in the media. 

Often automation has been presented as a means to eliminate the need for humans to do dull, dangerous, and dirty tasks. Moreover, the value of automation is often rationalized in terms of cost reductions. If automation is viewed only with this lens, then it basically comes across as an instrument to replace humans with machines and hence exacerbating employment prospects for many people. In many people’s mind automation is all about “dumb” machines doing the same task over and over in a monotonous way. Innovation requires human ingenuity and creativity, so automation cannot be farther away from being an enabler for innovation. This view is too myopic and prevents people from seeing the value of automation in enabling innovations and growing new industries.

Automation’s biggest contribution has been in assisting humans to overcome their inherent limitations in speed, strength, size, accuracy, consistency, and reaction time. Constraints associated with human capabilities ultimately limit what types of products can be realized with manual operations. Automation presents a solution to overcome these constraints. Once we think about automation from this perspective, we realize that automation can help us in realizing products that have complex shapes and small feature sizes and require high accuracy.

Automation has been leveraged to create many innovative products that cannot be made using manual operations. Here are few representative examples of innovations from the medical industry that were enabled by automation:
  • Computer Controlled Laser Machining: Computer controlled lasers have revolutionized machining. The software automatically controls the laser and can create really complex shapes on hard to machine metals in a matter minutes. Stents have been credited with saving many lives and they will simply not exist without computer controlled laser machining to realize complex shapes with small features.
  • 3D Printing: 3D printing epitomizes automation. A computer analyzes three dimensional model of the desired part and generates instructions so that a machine can automatically build it layer by layer. Shapes that cannot be produced by any means can be realized easily using 3D printing. Customized hearing aids will simply not exist without automation. 3D printing is also enabling customized implants and prosthesis. 
  • Automated Printed Circuit Board Assembly: Robots and motion control stages have revolutionized how printed circuit boards are assembled today. Automation enables printed circuit boards to utilize very small components that are packed very tightly in a confined space to create lightweight miniature electronics. The quality of life for diabetes patients will significantly deteriorate without glucose meters. Modern glucose meters rely on lightweight miniature electronics to function. These products will simply not be possible without automation in manufacturing of printed circuit board assemblies.
In summary, many innovative medical devices will simply cease to exist without the “helping hand” from automation.

I am concerned that all the negative press about automation will create a backlash against it. We really need advances in automation to realize the next generation products that will improve the quality of life. Automation is certainly creating challenges for the workforce and we need to find a solution to address it. However, we need to acknowledge the value of automation in driving innovations.