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3Laws
United States
- Pasadena, California
- 04/10/2024
- Seed
- $4,100,000
At 3Laws Robotics, we deliver intelligent safety solutions to companies innovating in robotics and automation.
Our AI supervisor provides safety and performance optimization for a variety of robotic systems including industrial manipulators, intelligent boats, racing drones, and mobile robots. With our rigorous safety framework and easy integration, we are dedicated to delivering reliable and affordable solutions for high-performance robotic development.
Our team is founded by world-class experts in safety-critical control. With a combined wealth of experience in developing and implementing advanced robotics technologies, this award-winning team has been recognized for they work in the field.
We are trusted by leading businesses and supported by a strong network of advisors, investors, and partners. Let's build a safer future for robotic systems with 3Laws Robotics.
- Industry Software Development
- Website https://3laws.io/
- LinkedIn https://www.linkedin.com/company/3laws/
Related People
Andrew SingletaryCo Founder
United States -
Pasadena, California
From automating child seat fitment tests at General Motors to completing my thesis on "Safe Input Regulation for Robotic Systems" at Caltech, I have focused on intelligent safety solutions for robotic systems. Now, I've started 3Laws Robotics to provide companies the tools they need to safely and reliably deploy high-performance robotic systems.
I have a broad set of experiences with localization, perception, planning, and control for a wide variety of robotic systems including cars, boats, drones, manipulators, legged robots, and more. I have developed and deployed software (primarily C and C++) on hard real-time systems.
I completed my PhD in the AMBER lab at Caltech. My specialization is safety-critical control of robotic systems, utilizing nonlinear control theory to provide safety guarantees for robots in the real world. I published 30+ research papers on this topic, and was nominated for 3 Best Paper Awards.
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