Autonomous Vehicles

Robohub Podcast – How Dusty Robotics is Automating Construction Sites, with Tessa Lau

Listen to another podcast from the team at Robohub. More podcasts from them can be found here.

Abate interviews Tessa Lau on her startup Dusty Robotics which is innovating in the field of construction.

Construction Site Automation

At Dusty Robotics, they developed a robot to automate the laying of floor plans on the floors in construction sites. Typically, this is done manually using a tape measure and reading printed-out plans. This difficult task can often take a team of two a week to complete.

Time-consuming tasks like this are incredibly expensive on a construction site where multiple different teams are waiting on this task to complete. Any errors in this process are even more time-consuming to fix. By using a robot to automatically convert 3d models of building plans into markings on the floors, the amount of time and errors are dramatically reduced.


Dr Tessa Lau

Dr Tessa Lau is an experienced entrepreneur with expertise in AI, machine learning, and robotics. She is currently the Founder/CEO at Dusty Robotics, a construction robotics company building robot-powered tools for the modern construction workforce. Before Dusty, she was CTO/co-founder at Savioke, where she orchestrated the deployment of 75+ delivery robots into hotels and high-rises.

Previously, Dr Lau was a Research Scientist at Willow Garage, where she developed simple interfaces for personal robots. She also spent 11 years at IBM Research working in business process automation and knowledge capture. More generally, Dr Lau is interested in technology that gives people super-powers, and building businesses that bring that technology into people’s lives.

Dr Lau was recognized as one of the Top 5 Innovative Women to Watch in Robotics by Inc. in 2018 and one of Fast Company’s Most Creative People in 2015. Dr Lau holds a PhD in Computer Science from the University of Washington.

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Lillian Clark

Lilly Clark is a PhD Student in the Ming Hsieh Department of Electrical and Computer Engineering at the University of Southern California.

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