Humble Robotics CEO Eyal Cohen has emerged from stealth with $24 million in seed funding to launch the Humble Hauler, a cabless, fully autonomous electric Class 8 truck. The San Francisco-based startup aims to lower freight costs by building a modular freight platform from the ground up rather than retrofitting traditional diesel tractors. Eclipse Capital led the seed round, with participation from Energy Impact Partners and other investors, targeting the $906 billion US truck-based freight industry.
The company plans to deploy these vehicles for dock-to-dock operations, specifically addressing drayage capacity pressures at ports and rail ramps. Unlike traditional trucks, the Humble Hauler lacks a steering wheel, gas pedal, and driver’s seat, making it significantly lighter and more aerodynamic. Cohen, who previously worked at Apple, Uber, and Otto, brings nearly two decades of experience in the electric and autonomous vehicle sectors to the venture.
Designing the Humble Robotics hauler for industrial scale
The Humble Hauler represents a fundamental shift in Class 8 vehicle architecture by removing the driver’s cab entirely. This design choice eliminates the weight of the steering assembly and operator comforts, allowing for a higher payload and better battery efficiency. The vehicle is built as a modular platform to move 40-foot international and 53-foot US containers with zero tailpipe emissions.
By designing both hardware and software from scratch, the team avoids the calibration issues common in retrofitted autonomous systems. Traditional trucks often suffer from sensor vibration when lidar or cameras are bolted onto a legacy diesel frame. Humble Robotics integrates its L4 capable sensor pods directly into the chassis, providing 360-degree coverage through a combination of automotive cameras, LiDAR, and radar.
The first prototype was completed in just six months, a timeline Cohen attributes to the deep expertise of the founding team. Head of Autonomy Drew Gray previously led Tesla’s Autopilot program and worked on autonomy at Uber. This internal control over the vehicle’s “full-stack” allows for tighter integration between the electric powertrain and the AI driving systems.
Navigating the resurgent autonomous vehicle sector
Industry observers suggest the autonomous vehicle space is entering a phase reminiscent of the 2016 hype cycle, though with a more pragmatic focus. While earlier efforts often prioritised general-purpose self-driving cars, the current wave focuses on structured industrial environments like shipping terminals. These controlled settings offer a clearer path to commercialisation because they have fewer unpredictable variables than city streets.
The flow of capital back into the sector is driven by veterans who lived through the first wave of autonomy. These founders are applying lessons learned from previous deep tech bets to specific logistical bottlenecks. For example, the rally in industrial and engineering stocks reflects a broader market interest in companies that solve tangible supply chain constraints through automation.
Jiten Behl, a partner at Eclipse and a Humble board member, emphasises the importance of hardware-software synchronisation in this new era. Investors are increasingly wary of software-only solutions that must interact with legacy automotive hardware. By owning the entire platform, Humble can ensure the AI handles the specific physics of an electric, cabless vehicle more reliably than a retrofit could.
Technical specifications and vision-language-action models
The intelligence driving the Humble Hauler relies on vision-language-action (VLA) models, which allow the truck to reason about its environment. Unlike traditional rule-based systems that depend on rigid “if-then” logic, VLA models process visual data to make decisions in novel scenarios. This capability is essential for navigating the complex and often chaotic environment of a busy shipping port.
The electric powertrain provides a 200-mile range and a top speed of 55 mph, tailored specifically for regional drayage loops. These short-distance trips, often under 100 miles, allow the trucks to complete multiple cycles on a single charge. The autonomy system is designed to handle the entire dock-to-dock process, including precise reversing and unloading at the dock without human intervention.
Safety is a primary driver for this shift, as the system aims to eliminate human error and fatigue associated with heavy hauling. The sensor suite constantly monitors the vehicle’s surroundings, processing gigabytes of data to maintain its operational domain. This focus on reliability is part of a wider trend where the African IoT sector expands through industrial connectivity, showing how sensors are modernising global logistics chains.
Port logistics and the $906 billion freight challenge
Humble Robotics identifies the ports of Los Angeles and Long Beach as primary targets for initial deployment. These hubs suffer from chronic drayage capacity pressure, where trucks often idle for hours, increasing costs and local air pollution. An autonomous fleet can operate 24 hours a day, effectively doubling the throughput of a single vehicle without needing mandatory rest periods.
The economic logic is simple: move freight at the lowest possible cost while reducing carbon dioxide emissions. Because the Humble Hauler is built for dock-to-dock operations, it can integrate directly into existing terminal workflows. This efficiency helps clear port backlogs and lowers the overall cost of moving international containers to nearby rail ramps or warehouses.
Addressing the driver shortage through automation
The US trucking industry faces a persistent shortage of drivers willing to handle short-haul, repetitive port routes. Automation offers a way to fill this gap while increasing road safety for other motorists. By removing the driver from the most monotonous parts of the journey, companies can focus human talent on more complex long-haul or “last-mile” delivery tasks.
Strategic regional testing and expansion
While the company is headquartered in San Francisco, it originally planned testing operations in Texas. However, it is now adapting to California DMV rules for autonomous vehicle permits to facilitate local pilot programs. Partnering with terminal operators and intermodal shipping companies will be critical for scaling the technology beyond the first few prototypes.
Environmental mandates and the electric shift
The transition to autonomous freight is accelerating alongside stricter environmental regulations. In 2024, zero-emission vehicles accounted for approximately 23% of new medium- and heavy-duty truck sales in California. Humble’s natively electric platform ensures that shipping companies remain compliant with these tightening mandates without the need for expensive retrofitting of diesel fleets.
Electric trucks offer the advantage of quiet operation, which can permit nighttime deliveries in urban areas where diesel noise is restricted. This increases the total productive hours for a logistics company while reducing the impact on local communities. The AI-driven driving style also optimises energy consumption, extending the life of the battery through efficient acceleration and braking patterns.
Customer pilots are expected to begin within the next year, providing the first real-world test of the VLA models in active ports. The industry will be watching to see if Humble Robotics can deliver on its promise to modernise freight technology while maintaining safety standards. If the Humble Hauler succeeds in these controlled environments, it may set a new standard for how heavy goods move through the global supply chain.
