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Robotics innovation infiltrates 2022 Consumer Electronics Show

Robohub

It must be CES time! A few years ago, the only robots at CES were toys. And as the robot toy makers at Ologic can attest, having your robot featured as the leading image for CES was still no guarantee that your robot would make it into production (AMP is pictured above). Luckily Ologic have transferred their consumer electronics experience into building robots of every other kind. The 2022 CES Innovation Awards recognize a range of robotics technologies as Honorees, and feature three in the "Best of Innovation" category as well. See & Spray is a technologically advanced, huge robot for the agriculture industry that leverages computer vision and machine learning to detect the difference between plants and weeds, and precisely spray herbicide only on the weeds. This groundbreaking plant-level management technology gives a machine the gift of vision and reduces the use of herbicide by up to 80 percent, benefiting the farmer, the surrounding community and the environment.


Amazon's Zoox Acquisition– Is LiDAR Next?

#artificialintelligence

Amazon's recent offer to acquire Zoox places them squarely in the Autonomous Vehicle (AV) space, competing with the likes of Waymo, Tesla and others for movement automation of people and goods. As a reminder, Zoox is the San Francisco, California based company with a breathtakingly bold vision – to develop purpose-made autonomous electric vehicles for ride-hailing, and deliver services to consumers through this platform. Executing this vision means competing on multiple fronts with big players- automotive OEMs (designing and building cars), tech companies like Google (who has spent a decade and a fortune to develop the Autonomous Vehicle Driving System or AVS), and ride-hailing companies like Uber and Lyft LYFT. To date, Zoox has raised $1B and hired close to 1000 people, but without any revenues, they probably need 10X the investment. A recent article covers the details of the Zoox acquisition, and posits that an important driver was Zoox's expertise in computer vision.


Amazon's Zoox Acquisition– Is LiDAR Next?

#artificialintelligence

Amazon's recent offer to acquire Zoox places them squarely in the Autonomous Vehicle (AV) space, competing with the likes of Waymo, Tesla and others for movement automation of people and goods. As a reminder, Zoox is the San Francisco, California based company with a breathtakingly bold vision – to develop purpose-made autonomous electric vehicles for ride-hailing, and deliver services to consumers through this platform. Executing this vision means competing on multiple fronts with big players- automotive OEMs (designing and building cars), tech companies like Google (who has spent a decade and a fortune to develop the Autonomous Vehicle Driving System or AVS), and ride-hailing companies like Uber and Lyft LYFT . To date, Zoox has raised $1B and hired close to 1000 people, but without any revenues, they probably need 10X the investment. A recent article covers the details of the Zoox acquisition, and posits that an important driver was Zoox's expertise in computer vision.


Autonomous Car Start-ups: Top Autonomous Self-Driving Car Unicorns to Watchout

#artificialintelligence

Autonomous self-driving cars have now become a trend in the world. There are big automakers and technology companies involved in the automation industry, but it is the start-ups that are making their place in the industry with new inventions. In a populous field of more than 300 start-ups in self-driving cars, let's take a closer look at the top autonomous self-driving car companies that have achieved unicorn status. Velodyne Lidar provides smart, powerful lidar solutions for autonomous vehicles, driver assistance, delivery solutions, robotics, navigation, mapping, and more. Headquartered in San Jose, Calif, Velodyne is known worldwide for its portfolio of breakthrough lidar sensor technologies.


Do Autonomous Vehicles Need LiDAR??- PART 2

#artificialintelligence

In Part 1 (published 17/07/2021), I explored the parallels between the automotive LiDAR and telecom optics investment booms, and posited that going forward, consolidation and pivots for automotive LiDAR companies are inevitable. I got great comments from many people, thank you. I will try and address some of them here, a critical one being whether LiDAR is needed at all for AV safety. I feel that this issue is an important one to address before delving into LiDAR consolidation and opportunities, which is the subject of Part 2 (in progress). One writer commented that I had overlooked the fact that telecom relied on guided optics (over fiber) while LiDAR operates in free space, and therefore has other significant technical challenges.