Robotics

Top 5 Control Engineering articles March 18-24

Articles about low-power hybrid chips for robots, gaining the edge in automation, connecting quality and process data, manufacturing and process facility trends, and the Engineers' Choice Awards were Control Engineering’s five most clicked articles from March 18-24. Miss something? You can catch up here.
By Chris Vavra March 25, 2019
A robotic car controlled by an ultra-low power hybrid chip is placed into an arena to demonstrate its ability to learn and collaborate with another robot. Courtesy: Allison Carter, Georgia Tech

The top 5 most read articles online, from Mar. 18-24 for Control Engineering covered low-power hybrid chips for robots, gaining the edge in automation, connecting quality and process data, manufacturing and process facility trends, and the Engineers’ Choice Awards. Links to each article below.

1. Low-power hybrid chip makes small robots more capable

Researchers from the Georgia Institute of Technology demonstrated robotic cars that use an ultra-low power hybrid chip to give palm-sized robots the ability to collaborate and learn from their experiences like the human brain does.

2. Gaining the edge in automation

Edge computing advances give users more options for architecting automation systems as well as flexible communication and programming choices.

3. Connecting quality data to process data

Using advanced analytics can help assure product quality and overall operational efficiencies. See case study example.

4. Manufacturing and process facility trends: Optimization

Technology update: Optimization is among key trends for manufacturing and process facilities highlighted in the media session at ARC Forum 2019.

5. 2019 Engineers’ Choice Awards

Spotlight on innovation: Best automation, control, and instrumentation products in 26 categories.

The list was developed using CFE Media’s web analytics for stories viewed on controleng.com, Mar. 18-24, for articles published within the last two months.

Chris Vavra, production editor, CFE Media, cvavra@cfemedia.com.


Chris Vavra
Author Bio: Chris Vavra has been production editor for Control Engineering since 2014 and has worked for the magazine since 2011. He edits articles on all automation topics and has written on topics including robotics, power generation, IIoT, AI/machine learning, and more. He has a Bachelor of Arts in English Literature degree from North Central College and is also a self-published crime/mystery novelist on Amazon.