Autonomous Robots to Transform Construction

While autonomous cars are on the front pages of every publication, there is a silent revolution underway in the industrial counterparts of passenger cars. In mining industry, fully automated hauling trucks have been in production for years. For example, Rio Tinto's fleet of driverless trucks currently hauls 25% of the ore and waste in Australia's Pilbara region. They are using a fleet of 80 autonomous trucks from Komatsu. They operate many hours longer and at 15% or lower cost compared to manually operated trucks. Momentum is now picking up in the construction industry. Here we discuss some of the recent developments related to construction robotics and what to expect going forward. While mo

Training Machine Vision Systems with Limited Labeled Datasets

The age of AI is upon us and AI-powered intelligent automation systems are the need of the hour. Early adopters are reaping huge benefits in terms of lower costs and higher productivity. Take the example of the potential impact of AI on machine vision. For the longest time, the approach here has been to use dedicated cameras, illumination systems and pattern projectors. The lighting systems often needed careful tuning and calibration. Each product-defect scenario had to be designed for separately. For example, the system used to find defects in bolts is very different from the system used to find defects in a crank shaft. The fact is that in many of these scenarios, a human expert could hav

How to Solve the Labeled Data Problem in Industrial Automation and Robotics

Today we are witnessing a revolution in deploying robotic systems to automate repetitive tasks. We have startups trying to revolutionize everything from construction to security and agriculture using automated systems. In many cases, existing equipment is retrofitted with hardware and software for automation which of course is cheaper. Training an automated system in robotics is a daunting task. One of the main reasons is that real world is very complex. Human brain has been trained over millennia to understand every nuance of the world. We also have the benefit of previous experience. Importantly, we have language to further augment our understanding of the world. Automated machines, howeve

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