We explore the roles that robots are starting to play in construction and look at how they will affect our industry in the future. For more by The B1M subscribe now: http://ow.ly/GxW7y YHNOVA 3D Printed House: University of Nantes - https://www.youtube.com/watch?v kmZvm... Images and footage courtesy of Moley Robotics, Viki Knows, Waymo, Sarcos, Odico Formwork Robotics, Hal Robotics Ltd, Ekso Bionics, DJI, The University of Nantes, ZHA, Construction Robotics, Fastbrick Robotics, Advanced Construction Robotics, NCCR Digital Fabrication (ETH Zurich), Effidence, Doxel, Built Robotics, Volvo Construction and Boston Dynamics. Follow us on Twitter - http://www.twitter.com/TheB1M We have established partnerships with domains to share our content and help it reach a wider audience.

AI teaching computers to make business sense of ill-lit 3D objects. We invested in Doxel, because of Saurabh Ladha, and his co-founder Robin Singh. They are without much parallel when it comes to the tech of 3D semantic understanding, and with their team of CS PhDs essentially writing software using AI to teach computers to make sense of the 3D world around them -- even when in less than ideal, real world sites that have little to no light. Both founders come with exceptionally strong engineering backgrounds, having met on the Dubai campus and then they split off to respectively Stanford and Ann Arbor Michigan for further education. This technology has broad application to industries of any kind wanting to know what's going on on any physical project of theirs, be it construction, agriculture, shipping, manufacture and many more have been relegated to a 2D static world.

Doxel is a startup that came out of stealth this week with a US $4.5 million funding round. Their business is making construction cheaper, and their secret (as with so many startups now) is combining massive amounts of data with deep-learning techniques. Using lidar-equipped robots, Doxel scans construction sites every day to monitor how things are progressing, tracking what gets installed and whether it's the right thing at the right time in the right place. You'd think that construction sites would be doing this by themselves anyway, but it turns out that they really don't, and in a recent pilot study on a medical office building, Doxel says it managed to increase labor productivity on the project by a staggering 38 percent. The concept behind Doxel is straightforward enough: Construction projects have plans and budgets and timelines.

Doxel is a startup that came out of stealth this week with a US $4.5 million funding round. Their business is making construction cheaper, and their secret (as with so many startups now) is combining massive amounts of data with deep learning techniques. Using lidar-equipped robots, Doxel scans construction sites every day to monitor how things are progressing, tracking what gets installed and whether it's the right thing at the right time in the right place. You'd think that construction sites would be doing this by themselves anyway, but it turns out that they really don't, and in a recent pilot study on a medical office building, Doxel says it managed to increase labor productivity on the project by a staggering 38 percent. The concept behind Doxel is straightforward enough: Construction projects have plans and budgets and timelines.