Nuro

Watch as The Nuro Driver, our AI-first autonomous driving system, detects a pickup truck unexpectedly reversing across the road and patiently waits for the maneuver to complete before proceeding. This demonstrates the AI's advanced situational awareness and decision-making capabilities. The Nuro Driver, powered by cutting-edge technologies and sophisticated training data, accurately interprets the intentions of other road users, ensuring a safe and smooth driving experience – even in unpredictable scenarios. Join us in transforming mobility and making roads safer with AI-first technology. Explore opportunities at Nuro: https://lnkd.in/gUNJ_zsh #AutonomousDriving #AIFirst #Innovation #Careers

Excited to share Nuro's feature on CNN "Bold Pursuits"! Our co-founder Dave Ferguson discusses our journey as an AI robotics company developing leading autonomous technology in a responsible manner. With our industry-leading Nuro Driver and cutting-edge tech like LAMBDA, Nuro's Multimodal Large Language Model (MLLM), we're leading the way in AI-first autonomy. Catch the full episode to learn more about how Nuro is shaping the future of autonomous driving! Our section starts at 12:08. #Nuro #AutonomousDriving #AIRobotics #LLM #CNN #BoldPursuits

The latest Nuro technical blog post "LAMBDA: The Nuro Driver's Real-Time Language Reasoning Model" https://lnkd.in/dYBFA_cE shows our latest Research initiatives converted into a practical application. Can we use the groundbreaking results in LLMs (actually, MLLMs, VLMs) in Autonomous Driving? Would it help with challenging situations ("long-tails", especially important for safe L4 driving) where rigid reasoning logic has its limitations? Is it possible to add a human-car interface for a natural way of communication about its decision-making boosting interpretability and explainability? It seems that all these questions have a positive answer, and moreover - we can do it in real-time using the hardware inside our autonomous vehicle platforms! Please check our technical blog post that can provide more insights about architecture, data used, details on state and action reasoning, and even some implementation notes. And stay tuned - a lot of challenges are still waiting for a proper solution, so there is definitely room for future Research, so join us in this endeavor! Thanks to the authors - Aryan Arbabi, Yu (Brian) Yao, Haohuan Wang, Wuming Zhang, Georgie Mathews, and Matt Hanczor (and a long list of people who provided help and support)! #nuro #llm #vlm #mllm #longtail #selfdriving #autonomousdriving

Without some method of language integration, scaling self-driving is more difficult and requires larger amounts of driving data. In contrast, a human who has learned driving in San Francisco doesn’t really need new driving experience in New York City, just to learn the local rule that you shouldn’t make a right turn at red lights there. LLMs appear to be excellent means for this and they will have a significant role in the future of robotics and self-driving. We are sharing a technical blog post (https://lnkd.in/enfjXkVy) on LAMBDA, our Multimodal LLM integrated with our autonomy stack, that runs on our in-vehicle hardware platform. We haven’t given direct control of the car to LAMBDA yet, but it already demonstrates advanced understanding and reasoning in various road situations.

We are often asked the (good :)) question of how the latest Gen AI advances will impact autonomous driving. Here's a quick sneak peak. From the start of Nuro we have invested in leveraging and building off of the latest and greatest AI advancements. And today our on-road behavior is almost exclusively AI driven -- with "almost" being very important, based on a robust parallel real time validation system we will geek out over in subsequent posts. We're now expanding beyond integrating the fundamental AI breakthroughs behind language models (which we have done for years) towards integrating language models themselves into the stack. It is so cool to see where we have collectively gotten as an industry and what we can already do with this technology. And just wait for what's next...

Our new technical blog post details the inner workings of Nuro's LAMBDA model, a real-time reasoning engine for autonomous driving! https://lnkd.in/eQxQfAUN We're proud to demonstrate the advanced capabilities of LAMBDA and to showcase its capacity to reason intelligently about the wide variety of challenging scenarios that our Nuro vehicles encounter and need to handle autonomously. LAMBDA has shown that it can explain complex interactions and describe safe and responsible behavior in response. What we've shared in this post is one of the many ways that we're building and utilizing foundational models for autonomous driving. The generality and sophistication of the LAMBDA model has led us to explore applying this technology to benefit Nuro's autonomy on-board in addition to improving developer efficiency and Nuro's safety case off-board. We look forward to sharing more of these advancements in the near future! Many thanks to all the contributors to this project. If you want to join us on our mission to advance the state of the art in autonomous robotics please apply here! https://lnkd.in/e9km-dV2 #nuro #ai #deeplearning #autonomousvehicles #robotics

Diving Deeper into LAMBDA: The Nuro Driver's Real-Time Language Reasoning Model 🚗💬 Following our recent announcement of LAMBDA, our Multimodal Large Language Model (MLLM) integrated into The Nuro Driver's™ onboard autonomy stack, we're excited to share a deeper look at this groundbreaking technology in our latest technical blog post: https://lnkd.in/eGwbR5bn The blog post explores LAMBDA’s remarkable capabilities in understanding and reasoning about the diverse situations encountered by L4 driverless systems. Here at Nuro we believe MLLMs have the potential to revolutionize autonomous driving, and LAMBDA’s integration with our in-vehicle autonomy system is an important milestone towards that. LAMBDA also enables passengers to interact with our autonomy system through an in-vehicle tablet interface, answering their questions and providing commentary on the world around them and the autonomous vehicle’s driving decisions. Read the blog post to learn more about LAMBDA's architecture and the challenges we're overcoming to utilize this powerful language model for real-time decision making. Join us as we continue to push the boundaries of autonomous driving and shape the future of mobility. Explore career opportunities at Nuro: https://lnkd.in/gUNJ_zsh #AutonomousDriving #MLLM #LanguageModels #Mobility #Innovation #Careers

Navigating unprotected left turns on busy roads is a challenging task that requires a combination of patience, assertiveness, and safety-first decision-making. In this video, the Nuro Driver showcases its ability to handle such a scenario with notable skill and expertise. As the Nuro Driver approaches the 4-lane road, it carefully assesses the traffic coming from both directions. Once the vehicles from the left leave a safe gap, the Nuro Driver cautiously creeps onto the road, demonstrating its readiness to make the turn while still prioritizing safety. Then, as the cars from the right pass by, the Nuro Driver seizes the opportunity and confidently completes the left turn, balancing safety with efficient navigation. This video highlights the advanced capabilities of our AI-powered autonomous systems, which are designed to navigate complex road situations with precision and sound judgment. By continuously learning and adapting to various scenarios, the Nuro Driver is working towards setting new standards for safe and efficient autonomous mobility. Join us in our mission to transform the way goods are transported and delivered, making roads safer and more efficient for everyone. Explore career opportunities at Nuro and be part of the team advancing the future of mobility: https://lnkd.in/gUNJ_zsh

As the weekend begins, it's crucial to remember the importance of road safety, especially when it comes to pedestrians. In this video, the Nuro Driver demonstrates its commitment to prioritizing pedestrian safety by stopping in the middle of a multi-lane road with a median to allow a person to cross safely. Whether you're a pedestrian, a cyclist, or a driver, it's essential to remain alert and cautious when out on the road. As you enjoy your weekend activities, remember to cross roads safely and always be aware of your surroundings. At Nuro, we're building autonomous systems that prioritize the safety of all road users, just like the Nuro Driver does in this scene. If you're passionate about creating technology that puts safety first, join our team and help us shape the future of AI-first autonomy: https://lnkd.in/gUNJ_zsh