Summer 2026
Posted on 4/29/2026
AI-powered robots for manufacturing and logistics
No salary listed
San Carlos, CA, USA
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Robust.AI creates AI-powered robotic systems for manufacturing and warehouse logistics. The core products are collaborative robots that work alongside humans to handle dynamic, changing workflows in facilities like warehouses and factories. These systems typically include autonomous robotic fleets, sensors, and software that coordinates tasks, ensuring safe interaction with people and adapting to different tasks in real time. The company earns revenue by selling robotic hardware and by offering ongoing service and maintenance contracts. Its approach centers on integrating intelligent automation with existing operations to improve productivity, safety, and efficiency, with notable clients such as DHL Supply Chain. The goal is to help businesses reduce operating costs and increase throughput by deploying adaptable, scalable robotic solutions that fit varied industrial environments.
Company Size
51-200
Company Stage
Series A
Total Funding
$42.5M
Headquarters
San Carlos, California
Founded
2019
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Stock Options
Health Insurance
Dental Insurance
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Flexible Work Hours
Parental Leave
ShipLab partners with Robust.AI to bring collaborative robots to its Vista fulfillment center. ShipLab LLC has some exciting news to share. ShipLab is partnering with Robust.AI, a leader in AI-driven warehouse automation, to deploy Carter collaborative mobile robots at its Vista, CA facility. The first phase goes live this July. Why ShipLab LLC is investing in warehouse automation. Ecommerce fulfillment keeps getting faster, and its clients expect ShipLab LLC to keep up. Adding Carter robots to its operation means quicker tote movement between fulfillment and packing stations, more capacity as ShipLab LLC grow, and more time for its team to focus on the work that requires a human touch. What it doesn't mean is any change to the accuracy and speed its clients count on. Its 99.9% accuracy standard and same-day shipping commitments stay exactly where they are. Automation is here to support that standard, not replace the people behind it. Carter is designed to work alongside its warehouse team, with no changes to its existing facility required. A crawl, Walk, Run approach. ShipLab LLC didn't want to flip a switch and hope for the best. Robust.AI structured this deployment as a phased "Crawl, Walk, Run" model, which was a big part of why this partnership made sense for ShipLab LLC. Here's how it works. ShipLab LLC start with a pilot where Carter automates tote transport between its fulfillment and packing stations. Once performance is validated, ShipLab LLC expand to a full fleet of Carter robots working across its picking operation. At each phase, ShipLab LLC confirm the system is hitting its targets before ShipLab LLC scale, and payments are deferred until it does. As its CEO Jake Brenner put it, every technology investment has to earn its place. This model lets ShipLab LLC prove the system works in its environment, at its pace, without disrupting the operation its clients rely on every day. What this means for your brand. If you're a ShipLab client, or thinking about becoming one, this partnership is about one thing: building a fulfillment operation that scales with you. Faster internal workflows mean orders move through its facility quicker. More capacity means ShipLab LLC can support your growth without compromising on accuracy or speed. ShipLab LLC'll share updates as the deployment expands. In the meantime, you can read the full announcement on GlobeNewswire or learn more about Carter at robust.ai. Ready to grow with a 3PL that invests in getting fulfillment right? Get in touch with its team.
Robust.AI selects Aptiv perception system for Gen 3 Carter robot. Aptiv's radar-camera PULSE sensor brings 360-degree perception and a path to ISO 13849-1 PL(d) safety certification to Robust.AI's Carter robot. June 23, 2026 Robust.AI has selected Aptiv's PULSE sensor-based perception system for its Gen 3 Carter collaborative mobile robot, with the two companies also working toward Performance Level d (PL(d)) functional safety certification for industrial robotics applications. The PULSE sensor fuses radar and vision using AI and machine learning on raw sensor detections. Early fusion of sensor inputs supports depth map creation and occupancy grid population for navigation and functional safety. A surround-view camera combined with ultra-short-range radar provides 360-degree sensing while reducing blind spots, cost, and system complexity. The system is paired with Robust.AI's vSLAM and AI perception technologies. "Scale adoption of robotics requires safety critical perception that spans the dynamic conditions experienced in the real world," said Jay Bellissimo, Senior Vice President and President, Intelligent Systems, Software and Services, Aptiv. "By bringing PULSE to the Gen 3 Carter robot, we're helping enable a more comprehensive and scalable approach to warehouse automation, while supporting a path toward the functional safety requirements increasingly demanded by these applications and the broader market of Physical AI." The selection targets the reliability challenges common in warehouse, manufacturing floor, and cold storage environments - settings where obstructions, dust, glare, moisture, and reflective surfaces can degrade conventional perception systems. "Carter is built to work with people in real warehouse and manufacturing environments, so perception quality, system reliability, and ease of deployment matter enormously," said Anthony Jules, Co-founder and CEO at Robust.AI. "Aptiv's PULSE sensor brings a differentiated camera-and-radar approach that further enables Carter to drive market-leading performance and productivity in complex environments." PL(d), defined under ISO 13849-1, is a high-reliability safety classification used for hazardous robotics applications. Aptiv is advancing toward that certification for PULSE across relevant industrial safety use cases as robots take on higher degrees of automation near people and equipment. Carter is a collaborative mobile robot designed to augment warehouse operations without requiring infrastructure changes. Its software-defined functionality supports order fulfillment picking, point-to-point transport, and mobile sorting, with a performance-based robotics-as-a-service (RaaS) model. Aptiv and Robust.AI will demonstrate Carter at Automate 2026, booth #3291. A related session - Camera + Radar Sensor Fusion: A Practical Path to Robust, Scalable 3D Perception - is scheduled for Thursday, June 25, 10:30-11:00 a.m. CDT at the Automate Innovation Stage, booth #19046. Editor-in-Chief, New Equipment Digest. Laura Davis is the editor in chief of New Equipment Digest (NED), a brand part of the Manufacturing Group at EndeavorB2B. NED covers all products, equipment, solutions, and technology related to the broad scope of manufacturing, from mops and buckets to robots and automation. Laura has been a manufacturing product writer for eight years, knowledgeable about the ins and outs of the industry, along with what readers are looking for when wanting to learn about the latest products on the market. Great question: A manufacturing podcast. Manufacturers from chemical producers to automakers to machine shops gain for critical insights into the technologies, economic conditions and best practices that can influence how to best run facilities to reach operational excellence. Tune in Now!
Aptiv and Robust AI partner to revolutionise STEM with ai-powered collaborative robots. Aptiv, a global technology leader, has recently announced a strategic partnership with Robust.AI to revolutionise the STEM landscape through the development of AI-powered collaborative robots, commonly known as cobots. This exciting collaboration aims to push the boundaries of robotics by integrating advanced artificial intelligence systems with human-friendly robotic designs - creating a new wave of intelligent machines capable of working alongside humans in complex environments. This partnership highlights the rapidly growing intersection of STEM fields, where science, technology, engineering, and mathematics converge to shape the future of industry and education. Collaborative robots supported by AI technologies offer unparalleled opportunities for automation, efficiency, and safety in sectors such as manufacturing, logistics, and warehousing. These cobots are designed to complement human workers, assisting in repetitive, dangerous, or precise tasks without compromising the human touch essential for decision-making. For STEM education, this leap forward is transformative. It not only expands the tools and projects students and educators can explore, but also inspires young learners to investigate AI, robotics, and automation through hands-on experiences. Exposure to such advanced robotics systems in educational settings builds relevant skills - programming, systems integration, machine learning understanding - that are critical for future careers in technology-driven industries. This partnership essentially bridges the gap between theoretical knowledge and real-world technological applications, making STEM subjects more engaging and industry-aligned. The collaboration focuses on combining Robust.AI's expertise in cutting-edge perception and software solutions with Aptiv's deep experience in building robust and scalable robotic platforms. This union is expected to result in cobots equipped with superior sensory capabilities, enhanced spatial awareness, and adaptive learning systems, allowing machines to operate dynamically in unpredictable environments. These advancements ensure that the robots will not only work efficiently but also maintain safety standards - an essential factor when deploying robotics in shared human spaces. This initiative underscores a broader trend within STEM education and industrial innovation: the growing importance of artificial intelligence and robotics convergence. As industries worldwide adopt smart automation, educational institutions must timely adapt curriculum and resources to prepare students for evolving workforce demands. By showcasing this partnership, STEM programs can motivate students toward research, innovation, and entrepreneurship in robotics and AI, creating a new generation of technologists ready to lead global advancements. In summary, Aptiv and Robust.AI's partnership is more than a technological development; it's an educational and industrial milestone. It exemplifies how STEM and AI-powered robotics can harmoniously coexist to enhance human productivity and innovation. For students, educators, and industry professionals alike, this evolution offers inspiring possibilities within the STEM ecosystem - a future where intelligent machines and human creativity innovate side-by-side for a smarter world.
Aptiv and Robust.AI jointly develop ai-driven collaborative robots. Aptiv PLC, a global technology company focused on creating a safer, greener, and more connected future, and Robust.AI, a leader in AI-driven industrial automation, announced a strategic collaboration to jointly develop AI-driven collaborative robots. This collaboration combines Aptiv's industry-leading product portfolio, including the Wind River platform and tools, with Robust.AI's robotics expertise and human-centric design philosophy, aiming to accelerate innovation in warehousing and industrial automation. Javed Khan, Executive Vice President and President of Software, Advanced Security and User Experience at Aptiv, stated, "Aptiv is working with strategic partners to empower the future of the intelligent edge through technologies that enable real-time sensing, thinking, acting, and optimization. By combining Aptiv's intelligent sensing, computing, and software solutions with Robust.AI's innovative robotics platform, we will accelerate the deployment of scalable, AI-driven solutions that create real value across multiple industries." Aptiv's perception portfolio and machine learning technologies will be integrated with the Robust.AI platform to create scalable, efficient, and safe robotic workflows. The joint solution will have the following core characteristics: * The Aptiv PULSE sensor - a compact surround-view camera paired with ultra-short-range radar - enables reliable and accurate 360-degree perception. * Aptiv Radar ML and Behavior ML - advanced machine learning technologies developed based on Aptiv's industry-leading Advanced Driver Assistance Systems (ADAS) to enable real-time perception and dynamic path planning in complex environments. * Robust.AI's platform architecture encompasses AI-driven advanced optical sensors and decision models, real-time simultaneous localization and mapping (SLAM), a patented omnidirectional drive system, force-sensitive joysticks that instantly transfer control to human operators, and other intuitive features that enhance productivity, efficiency, and safety. * The expanded proof-of-concept (PoC) leverages Aptiv computing technology and the Wind River platform (including the VxWorks real-time operating system (RTOS) and Helix Hypervisor) to deliver best-in-class performance and virtualization capabilities, low latency, and greater flexibility to support a variety of system designs. Robust.AI's Carter is a versatile collaborative robot designed to enhance the efficiency of existing workforces. Its software-defined capabilities integrate the core capabilities of three robots - fulfillment picking, point-to-point transport, and mobile sorting - supporting multiple workflows on a single platform. With its plug-and-play automation capabilities, Carter quickly and significantly boosts productivity while optimizing workflows, improving warehouse efficiency, and supporting continuous learning through data-driven insights. This unprecedented flexibility allows customers to dynamically adapt Carter's functionality to the evolving needs of their facilities. Rodney Brooks, co-founder and chief technology officer of Robust.AI, stated, "Aptiv's expertise in developing advanced AI models, sensors, and real-time operating systems for autonomous vehicles will enhance Carter's ability to safely collaborate with human operators in dynamic, close-range environments. By integrating these AI-driven capabilities, we can even surpass other advanced solutions, bringing Carter's productivity and efficiency advantages to new industries." Aptiv's strong integration capabilities, global footprint, and resilient supply chain enable it to scale complex systems across multiple markets - a capability proven by deploying advanced technologies in millions of vehicles worldwide. This allows Robust.AI to focus on its core strengths: human-centric design and AI-driven workflows, while ensuring solutions are delivered at scale in a cost-effective manner.
Automation company ABB is reportedly preparing a possible deal for its robotics unit.The company is working with Bank of America and UBS on a spinoff or sale of the robotics business, Bloomberg News reported Tuesday (May 27), citing sources familiar with the matter.According to the report, ABB had said last month it aims to spin off the robotics unit in the second quarter of next year, as CEO Morten Wierod shifts the company’s focus to more profitable parts of the business. Among them is electrification, thanks to the rise of new data centers being built to meet artificial intelligence (AI) demand.The report added that the company could also consider selling the unit, which could be worth upwards of $3.5 billion, rather than spinning it off.Bloomberg notes that ABB’s robotics unit accounts for roughly two-thirds of the company’s robotics and discrete automation division. It employs 7,000 people, with manufacturing hubs in China, the U.S. and Sweden, where ABB’s robotics business was launched.PYMNTS examined the rise of robotics in the workplace earlier this year after Figure, an OpenAI-backed robotics AI startup, showcased humanoid robots that can understand voice commands and can grab objects they hadn’t seen before.Jenny Shern, general manager at robot builder NexCOBOT, told PYMNTS at the time that humanoid robots face more complicated challenges than industrial robots.“Traditional industrial robotic arms with vision systems primarily rely on preprogrammed instructions to execute tasks. This works well in factory environments where applications are repetitive and goal-oriented,” she told PYMNTS.However, “implementing humanoid robots into household settings is a more complex advancement because, unlike factories, household environments are highly dynamic, and tasks will vary significantly from one home to another,” Shern said.In unpredictable environments, humanoid robots need AI to operate effectively in daily life because preprogrammed instructions won’t be sufficient, she added.Rodney Brooks, co-founder and CTO of Robust AI, said Figure’s robot demo illustrated just how superior humans are to machines when it comes to picking up objects.“The human effortlessly reached into the paper bag, extracting each item one by one — often with only the slightest glimpse of each — then laid them out neatly on a pristine countertop,” Brooks told PYMNTS. “In contrast, the humanoid robots picked up the objects at a snail’s pace, about 10 to 20 times slower, despite having a clear, unobstructed view of them.”