Identity and Foundational Data

Dusty Robotics, Inc. is a leading construction robotics company, founded in 2018 with headquarters in Mountain View, California. The company was co-founded by Dr. Tessa Lau, a prominent roboticist with a PhD in Computer Science from the University of Washington and former CTO of Savioke. Under his leadership as CEO, the company has transformed the traditional manual layout process into an automated digital operation.

The organization operates as a private entity and has managed to position itself as a benchmark in the ConTech sector of Silicon Valley. Its primary mission is to bridge the gap between virtual design (VDC/BIM) and physical execution in the field, using autonomous robots to transfer digital plans directly to concrete slabs with a technical fidelity that surpasses conventional chalk and tape measure methods.

Industrial Precision and Robot FieldPrinter 2

At the core of the solution is the FieldPrinter 2, an autonomous robot designed to print full-scale plans directly on the construction site floor. This system ensures accuracy to within 1/16 of an inch (approx. 1.5 mm), essential for critical environments such as data centers, healthcare facilities, and advanced manufacturing plants. The robot uses a combination of onboard sensors, including encoders and IMUs, along with robotic total stations to maintain its continuous volumetric positioning.

In terms of performance, the FieldPrinter can complete multi-specialty layout (walls, mechanical, electrical and plumbing) up to 10 times faster than a two-person manual crew. This speed allows weeks of work to be compressed into days, making it easier for subcontractors to begin installation almost immediately after slab pour, thus optimizing the critical path of the project.

Recently, in 2025, Dusty has integrated Hexagon's Leica AT500 laser tracker, enabling a measurement volume of up to 320 meters in diameter and improving initial setup speed. Additionally, the robot now has capabilities to measure ground elevation and flatness in real time, providing valuable data for meeting structural tolerances prior to installation of finishes.