3Laws

Today, we are delighted to announce that we have secured our seed funding round – led by TenOneTen Ventures, with participation from the Amazon Industrial Innovation Fund ?? Congrats to our whole team, and thanks to all our loyal customers. We're just getting started ?? More details below in our exclusive interview with Mike Oitzman of The Robot Report ?? https://lnkd.in/gck65hqd

Developing safe robotics systems requires precision and the right software resources. Our blog breaks down essential tools—from code linting and static analysis to unit testing frameworks—that can help robotics developers ensure their systems run smoothly, avoiding unnecessary bugs and system failures. Explore a curated list of tools for building dependable robotics software, ensuring high performance and safety standards across various environments: https://lnkd.in/g2vM5Z5G #RoboticsDevelopment #Automation #TechTools #CodeSafety

?? Robot installations in the UK have hit record levels, marking a new milestone for the nation's automation and robotics industry. According to the IFR, industries from automotive to logistics are turning to robotics to stay competitive amidst labor shortages and rising production demands. Discover how this boom is transforming the UK industrial landscape: https://lnkd.in/eNyh6DuJ #Robotics #TechGrowth #UKIndustry

??? Building autonomous systems for industries like automotive and robotics comes with the challenge of ensuring functional safety. That’s why ISO 26262 compliance is crucial when developing C++ software for safety-critical applications. In this blog, we cover the specific methodologies we use to build systems that are not only fault-tolerant but also highly reliable in the face of unexpected failures. We cover redundant system designs, real-time fault detection, and how our software adheres to safety requirements that protect both the machine and its environment. Read how we ensure safety at every step: https://lnkd.in/gR_QKYc2 #CppProgramming #ISO26262 #SafetyCritical

?? Tesla’s Robotaxi could reshape how we think about autonomous driving, but as Phil Koopman points out, there are major hurdles ahead. From safety-critical software challenges to the unpredictability of real-world driving, the transition to fully autonomous vehicles might not be as seamless as Tesla suggests. Koopman also discusses the technical feasibility of Level 5 autonomy, particularly in chaotic, unpredictable urban settings, and why regulatory approvals may take longer than expected. Will Tesla’s ambitious goals align with the realities of autonomous vehicle safety? Get the full breakdown: https://lnkd.in/gfafeKQ9 #Tesla #AutonomousVehicles #Robotaxi

System reliability is at the core of modern robotics, and redundancy is the backbone that ensures consistent performance. 3Laws’ approach to redundancy integrates multiple layers of hardware and software, preventing catastrophic failures. By monitoring real-time signals, our systems can switch between components, preventing shutdowns and ensuring safety. Learn more about our approach to fault tolerance and real-time corrections for autonomous systems: https://lnkd.in/gJ2ncmGQ #robotics #controlsystems #redundantsystems #automation #innovation #safetytech

Boston Dynamics never miss, and here’s another example. Six months after unveiling the amazing Atlas, we now see the robot moving auto parts from one set of shelves to another, while its head, upper body, pelvis, and legs all swivel independently. Super cool stuff! ?? https://lnkd.in/gdMWgf6r

A much-deserved funding round for the excllent Physically Intellience. Foundation models enable robots to generalize actions from fewer examples than traditional artificial intelligence approaches – and we’re here to make it all as safe as possible ?? https://lnkd.in/g6mNYE_y

This is super exciting work. “To overcome the challenges faced by previous generations of touch perception models, the researchers trained Sparsh models through self-supervised learning (SSL), which obviates the need for labeled data…. According to the researchers’ experiments, Sparsh gains an average 95.1% improvement over task- and sensor-specific end-to-end models under a limited labeled data budget.” The interest in foundational models is huge; 3Laws is ready to help everyone deploy AI safely over the coming years ?? https://lnkd.in/g2fdChw3

The internet is replete with AI art. But almost all of it is digitally generated by DALL-E and similar interfaces. But this piece was painted by an actual humanoid robot – and should fetch over $100k at auction! ?? Read more: https://lnkd.in/gH_8_M7X