Agility Robotics Robot Lineup

Agility Robotics robot lineup

Agility Robotics operates from United States and focuses on bipedal warehouse and logistics robots.

Explore Agility Robotics’s named robot platforms and major variants below. Each product includes an availability label and an official source so you can distinguish shipping products from pilots, research platforms, prototypes, and legacy models.

This directory records 2 named platforms from United States, focused on bipedal warehouse and logistics robots. The lineup is a source map, not a promise that every model has public pricing, checkout, delivery in your region, or the same support terms.

Robot lineup at a glance

Availability determines what you should check next. Shipping products need clear specifications, pricing, support, and purchase terms. Pilots and prototypes need deployment evidence, while legacy platforms are most useful for history and comparison.

About Agility Robotics

Agility Robotics was founded in the United States and is headquartered in Corvallis, Oregon. The company originated from research at Oregon State University and has over a decade of experience developing advanced humanoid robotics. Agility remains an independent robotics vendor, with leadership under CEO Peggy Johnson and involvement of co-founder Jonathan Hurst. In 2026, the company announced plans to go public through a merger with Churchill Capital Corp XI, according to official press releases. Agility manufactures its robots in the United States, with production ramping to support industrial deployments. Revenue is generated through direct sale and service contracts with enterprise and industrial clients, as well as ongoing support and cloud platform subscriptions for the Arc software platform that manages and updates the Digit robots. Agility is focused exclusively on robots that perform human-scale tasks in logistics and warehouse operations, and has landed contracts with large industrial supply chain operators, including Toyota, Amazon, Mercado Libre, and GXO. Its business model relies on deploying robots directly to these customers, who use Digit in live workflows for material handling and repetitive physical tasks.

Digit Evolved from an Academic Walking Testbed into a Commercial Warehouse Humanoid

Digit began as an academic walking testbed before Agility Robotics turned the mechanism into an industrial humanoid. Founded in 2015 as a spin-off from the Oregon State University (OSU) Dynamic Robotics Lab, Agility first developed Cassie, a bipedal platform without an upper body or perception systems. That research testbed informed Digit V1, which Agility introduced as its first complete humanoid robot built for academic and industrial researchers.

Agility subsequently redesigned Digit for industrial customers to shift the platform from laboratory research to commercial labor. The updated design secured Federal Communications Commission (FCC) approval and Nationally Recognized Testing Laboratory (NRTL) certification to establish what Agility planned as the first cooperatively safe humanoid robot. Specific release years for intermediate hardware iterations remain unpublished on the company's site.

Live logistics deployments transitioned Digit into commercial production starting in mid-2024. In June 2024, Agility deployed Digit into active operations at a GXO facility near Atlanta, marking the industry's first commercial humanoid deployment before expanding customer operations to Amazon, Toyota, and Mercado Libre. For the current Digit v5 generation, multi-year contracts exceed $300 million, backed by more than 65,000 operating hours logged across nine customer facilities.

Agility Robotics Pricing and How to Buy

Agility Robotics does not publish public pricing for Digit or its related solutions. Final costs will depend on factors such as robot configuration, the number of units ordered, service and support level, software licensing for the Arc platform, and facility integration requirements. Interested buyers start with a solution assessment conducted by Agility, followed by on-site workflow validation. Commercial terms and hardware lead times are defined during this process. Sale or lease options may be available, though any specifics are non-public as of 2026. Production and shipping are handled directly by Agility in the United States, with primary focus on North America but deployments also reported in other regions depending on demand and customer capability. Buyers should expect multi-stage onboarding and not instant delivery. Ongoing costs may include cloud platform subscriptions, maintenance, and operational support. Prospective buyers should contact Agility directly to initiate a facility assessment and receive a tailored quote.

Who Agility Robotics Robots Are For

Agility Robotics targets enterprise buyers, particularly those running warehouses, fulfillment centers, and industrial or logistics operations with a need to automate material movement tasks that are physically repetitive or ergonomically challenging for humans. Companies with established automation strategies that require human-scale dexterity and mobility—such as lifting, sorting, and transferring goods—will see the most benefit. The robots are intended for large-scale operators with resources to invest in facility adaptation, integration with digital task management systems, and ongoing service contracts. Conversely, small businesses, facilities with very low automation budgets, or environments with highly variable floorplans and unpredictable tasks may not be strong fits for Agility's offering. Buyers in heavily regulated sectors or those outside regions served by Agility may also face hurdles in procurement, integration, or compliance that influence suitability.

• Deployment requires integration with Agility’s Arc cloud platform, so buyers must ensure compatibility with in-house IT and workflow management software.
• Service contracts and access to spare parts are critical; buyers should clarify support response times, replacement logistics, and field servicing options before deployment.
• Digit is billed as safe for facility operation, but clarify what safety standards and certifications are met for your region to ensure legal compliance.
• Ongoing software licensing and updates for the Arc platform are a recurring operational cost; factor these into total budget planning.
• Export controls and legal restrictions may apply if deploying outside the United States; verify the latest shipment and use boundaries with Agility pre-purchase.
• Robots are optimized for specific material handling duty cycles; discuss with Agility whether expected task frequency and duration align with hardware tolerances.
• Full cost of ownership will include facility modifications, training, maintenance, and cloud fees—request a complete itemization during the quoting process.

Agility Robotics Alternatives

Vendors a buyer typically cross-shops against Agility Robotics.

• Boston Dynamics — Boston Dynamics offers the Stretch robot for box-moving and warehouse tasks. Unlike Agility’s bipedal robots, Stretch operates on a mobile base with an industrial arm, making it suitable for predictable palletizing but less adaptable for complex human-scale tasks.
• Figure AI — Figure AI develops general-purpose humanoid robots, claiming deployment readiness for logistics and manufacturing. Their robots are aimed at similar industrial buyers who wish to replace human labor in repetitive physical tasks, although fewer production deployments are confirmed as of 2026.
• Apptronik — Apptronik’s Apollo is a bipedal robot positioned for commercial and warehouse automation duties. Apptronik emphasizes modularity and broad task capability, but operational transparency and commercial adoption milestones remain more limited than Agility’s reported deployments.
• Kawasaki Robotics — Kawasaki’s robots primarily focus on industrial robotic arms and autonomous mobile robots for material transport. While these solutions offer proven reliability in controlled environments, they lack the human-scale dexterity and bipedal mobility offered by Agility’s Digit.
• Covariant — Covariant provides AI-powered robotic picking solutions for warehouses, but focuses on robotic arms rather than full humanoids. Their systems excel at high-speed sorting and picking but are not intended to replace full-body human movement across complex spaces.

Public Listing Terms for Agility Robotics

Agility Robotics is listing publicly at a $2.5 billion pre-money equity valuation under the planned ticker symbol AGLT, with the transaction expected to close in 2026. The merger terms include more than $620 million in expected gross proceeds. That capital includes approximately $200 million of private investment in public equity (PIPE) financing at $10 per share, alongside $420 million held in the Churchill Capital Corp XI trust account assuming no redemptions.

Industrial supplier Schaeffler invested in Agility Robotics and signed an agreement to deploy Digit across its industrial facilities. Schaeffler plans to deploy a significant number of humanoids across its global network of 100 plants by 2030. That commitment builds on more than $300 million in multi-year contracted Digit v5 orders and over 65,000 hours of operation across nine customer facilities, detailed in our Digit review.

A close does not change anything on the warehouse floor. It leaves existing pilot agreements, maintenance contracts, and delivery schedules for Digit fleet deployments exactly as they are.

How to choose a Agility Robotics robot

Choose between Agility Robotics models by job, body type, and evidence status before comparing headline capabilities. A shipping label is stronger than an announcement, but buyers still need the exact configuration, price or quote, delivery region, software access, safety limits, warranty, and repair path in writing.

• Shortlist the body type that fits the real workspace and task.
• Open the model’s official source and confirm that the named configuration is current.
• Ask whether access is checkout, distributor order, sales quote, pilot, or research-only.
• Compare service location and fault recovery before comparing demo performance.