The 'Crawl, Walk, Run' Model: De-risking the Robotic Warehouse Future

SAN FRANCISCO, CA – July 08, 2026 – In the relentless race to deliver goods faster and more accurately, the modern warehouse has become a critical battleground. While visions of fully autonomous facilities abound, the reality for most operators is a complex calculation of risk versus reward, where massive upfront capital investment and operational disruption often stall progress. A new partnership announced today between AI robotics firm Robust.AI and e-commerce fulfillment provider ShipLab offers a glimpse into a more pragmatic and accessible future for automation, built not on a revolutionary leap, but on a carefully managed evolution.

At the heart of the collaboration is the deployment of Robust.AI’s Carter™ collaborative mobile robots in ShipLab’s Vista, CA facility. But the technology itself is only half the story. The true innovation lies in the business model: a phased approach branded “Crawl, Walk, Run,” which allows ShipLab to validate performance at each stage before expanding. This pay-for-performance structure, a sophisticated take on the growing Robotics-as-a-Service (RaaS) trend, could fundamentally alter how small and mid-sized logistics companies approach the digital transformation of their physical operations.

De-risking the Digital Leap

The logistics industry is at a tipping point. While nearly 80% of warehouses remain largely un-automated, the pressures of e-commerce growth, labor shortages, and rising consumer expectations are making the status quo untenable. Yet, the path forward is fraught with financial peril. Traditional automation often demands multi-million-dollar investments and significant facility overhauls, a risk many are unwilling to take.

Robust.AI's model directly confronts this barrier. By structuring the deployment in phases—starting with a small-scale pilot to automate tote transport—and deferring payments until performance targets are mutually confirmed, the financial and operational risk is shifted away from the customer. "Every technology investment we make has to earn its place, and that means proving it works in our environment before we commit to scaling it," said Jake Brenner, CEO of ShipLab. "The Crawl, Walk, Run model...removes the risk that usually holds operators back from automation."

This approach is a powerful evolution of the RaaS model, which is already gaining significant traction. Industry analysis suggests that over 70% of logistics firms are planning to adopt RaaS contracts to move from prohibitive capital expenditures (CAPEX) to manageable operational expenditures (OPEX). By tying payments directly to proven value, Robust.AI adds a layer of accountability that builds confidence. This isn't just about leasing hardware; it's about delivering a guaranteed outcome, allowing operators like ShipLab to test the waters, prove the ROI, and then scale intelligently. For a growth-focused business, this transforms automation from a high-stakes gamble into a strategic, data-driven decision.

A New Blueprint for Human-Robot Collaboration

For this de-risked model to work, the technology must be seamlessly integrable. This is where the Carter™ robot, the physical manifestation of Robust.AI’s philosophy, comes into play. Carter is not designed to replace human workers but to augment them, operating as part of a collaborative, intelligent network. Its most significant promise is the ability to deploy without requiring any changes to existing facility infrastructure—no new wiring, no magnetic floor strips, no dedicated exclusion zones.

Carter navigates using a 360-degree AI-optimized vision system and camera-based vSLAM (Visual Simultaneous Localization and Mapping), allowing it to intelligently map and move through a dynamic warehouse environment filled with people, pallets, and forklifts. This “Physical AI” is what enables the robot to work safely and effectively alongside its human counterparts. Features like a force-sensitive handlebar and whole-robot force sensing allow an associate to physically guide or redirect the robot with a simple touch, creating a fluid interface between autonomous operation and manual collaboration.

This human-centric design is a key differentiator in a crowded market. Partners like DHL Supply Chain have already validated Carter’s effectiveness, reporting productivity gains of over 60% in picking operations within weeks of implementation. The robot’s versatility—acting as a point-to-point transport, a fulfillment picking assistant, or even a mobile sorting wall—is defined by software, not hardware. This means an operator like ShipLab can begin with a simple “crawl” application and later expand to more complex “run” scenarios using the exact same fleet, ensuring the initial investment continues to deliver value as the operation evolves.

The Strategic Imperative for Speed and Scale

For ShipLab, a 3PL born from its founders' own frustrating search for reliable e-commerce fulfillment, this partnership is a calculated strategic move. Having grown from a small 800-square-foot space to a 275,000-square-foot operation serving over 100 brands, the company’s reputation is built on its commitment to 99.9% accuracy and same-day shipping. Maintaining that edge amid rapid growth is a monumental challenge.

The initial “crawl” phase at ShipLab will focus on automating tote transport between fulfillment and packing stations—a repetitive but critical task that can become a bottleneck. By introducing Carter robots to handle this flow, ShipLab aims to free up its human associates to focus on higher-value tasks that require judgment and dexterity, while ensuring a smoother, faster handoff between operational stages. This targeted application of automation enhances efficiency without disrupting the entire workflow.

The strategic rationale is clear: leverage automation to enhance scalability and protect service levels without taking on undue risk. "Ecommerce fulfillment moves fast, and the teams running it need automation that keeps up without getting in the way," noted Anthony Jules, co-founder and CEO of Robust.AI. The phased model allows ShipLab to fortify its operational backbone incrementally, ensuring that its technology infrastructure scales in lockstep with its business growth and its clients' ever-increasing demands.

The Unstoppable Automation Wave

The Robust.AI and ShipLab partnership is a microcosm of a much larger shift. The global warehouse automation market is projected to swell to over $64 billion by 2032, yet the vast majority of facilities have yet to begin their journey. The primary obstacle has not been a lack of desire, but a lack of accessible, low-risk pathways to adoption.

Models like “Crawl, Walk, Run,” powered by flexible and intelligent robotic platforms, are creating those pathways. They are democratizing access to the advanced digital infrastructure that was once the exclusive domain of giants like Amazon. By focusing on coexistence rather than replacement, and value-realization over upfront investment, these solutions are building the intelligent, resilient, and collaborative logistics networks of the future. As the lines between human and robotic labor continue to blur, these flexible, intelligence-driven networks are no longer an optional upgrade but the very foundation of modern commerce.