Agility Robotics is developing bipedal humanoid robots such as Digit for the purpose of addressing labor shortages within the logistics, manufacturing, and warehousing industries, as well as performing physically demanding tasks within human environments. The company was established as a spin-off of Ohio State University (OSU) research into legged locomotion and utilizes biomechanics, advanced control systems, and artificial intelligence (AI) to create adaptable automation that can be scaled to meet the needs of its clients. Agility Robotics currently serves several major clients including Amazon, Ford, and GXO with scalable robotic solutions.
Agility Robotics was founded by Jonathan Hurst, Damion Shelton, and Mikhail Jones as a spin-off of their research into legged locomotion at Ohio State University (OSU).
Agility Robotics developed the ostrich-inspired lower-body research platform called Cassie to demonstrate dynamic walking and running abilities.
Agility Robotics began the development of a full humanoid robot called Digit that builds upon the Cassie lower-body research platform, but adds a torso and arms.
Agility Robotics began shipping early versions of the Digit robot to Ford Motor Company as the first major partner.
Agility Robotics formalized its partnership with Ford Motor Company for warehousing and autonomous vehicle integration.
Agility Robotics released version 4 of the Digit robot and began testing it with Amazon for tote recycling within warehouses.
Agility Robotics completed a proof-of-concept with Amazon that led to a multi-year agreement to deploy the Digit robot at a Spanx facility.
Agility Robotics raised $150 million in a Series B round of funding that was led by DCVC and Playground Global to help scale the production of the Digit robot.
Agility Robotics opened a factory in Salem, Oregon to mark the beginning of commercial humanoid robot mass production.
On-premise industrial deployments with Agility Arc cloud platform
Advanced biomechanics-based locomotion control, real-time perception, and cloud-orchestrated task planning with Digit v4 multi-modal capabilities
Inferred from product descriptions, research origins, and commercial deployments
Agility Robotics manufactures Digit which is a bipedal humanoid robot designed specifically for industrial logistics and warehouse operations. Digit has the ability to manipulate totes, pick items and navigate through human environment areas.
Primary method of integration with Digit is the robot's controller interface; there is also an unofficial python package available for Digit v3 on github; however contact sales to receive information about official integration and ROS2 compatibility.
Digit was designed for industrial repetitive tasks (such as tote handling), and not as a general purpose humanoid, it focuses on reliability within warehouse environments rather than versatility with regard to dexterity, and the primary focus of its commercial deployment. I have made these responses rephrased instead of rewritten so that you can see the differences in the way each response has been written while maintaining the same original answer.
The robots run on local area networks (onboard processing). Enterprise-level fleet management systems utilize enterprise level security protocols. If you would like a certification (SOC 2, ISO etc.) for compliance, please reach out to our Sales Team.
Our pricing model is confidential, therefore you will need to contact one of our Sales Representatives for further information regarding pricing. All of our robots are sold as an entire package system which includes lease-to-own options for businesses looking to implement a commercial deployment of our robots. We also offer implementation services.
We provide demo/pilot programs for qualified customers. To arrange a trial of our robots in your facility, please reach out to our Business Development Team.
The Digit is specifically designed for tote manipulation and logistics applications and is not suitable for general purpose applications. In order to optimize the deployment of our robots, facility modifications may be necessary. Currently, we do not have software integration capabilities beyond controller interfaces.
Documentation for the Cassie/Digit robots can be found in our GitHub repository. If you require commercial support for either of these products, please contact our enterprise team. Research organizations may be able to obtain access through our academic partnership program.
Agility Robotics is the leading commercial developer of humanoid robots with the Digit, which was deployed in real warehouse environments by both Amazon and GXO. Although the software API for our product line is still in its infancy, the hardware provides unparalleled reliability for repetitive logistics tasks. This product is best suited for enterprises looking to be early adopters of humanoid labor on a large scale.
Digit is best suited for companies that are using humanoid fleets in a warehouse setting with structured facilities. Reliability is of greater importance than flexibility when using Digit.
Agility Robotics focuses on developing the Digit humanoid for use in commercial warehouses with real-world customers such as Amazon. The company has a strong emphasis on hardware and very few public APIs for software development. There is an unofficial controller interface for Digit provided through GitHub as well as some documentation for Cassie.
Fair - comprehensive hardware/product info from official site, limited API/integration details publicly available. Primarily enterprise sales contact required for technical specifications.
Amazon and GXO Logistics have successfully deployed Digit in their production warehouses and it has demonstrated success over 20 hours while moving 700+ totes/shift in real world commercial settings.
Raised over $180 million in funding from investors such as DCVC, TDK Ventures and WIND. Also participated in the Amazon Industrial Innovation Fund which validated commercial progress for the company.
Proprietary whole body control technology that uses a combination of reinforcement learning and classical robotics to allow Digit to achieve human-like balance and manipulation in an industrial environment.
Official Cassie repository on GitHub that includes release software for the bipedal robot. An unofficial Python package for controlling the Digit v3 controller is also available for research and integration purposes.
Featured in many mainstream publications for its commercial first approach to developing a humanoid. Was the first humanoid to be used in verified commercial production warehouse settings.
| Tier | Price Range | Primary Applications | Availability Status | Lead Time |
|---|---|---|---|---|
| Entry-Level | $15,000 - $25,000 | Research, education, hobbyist | In-stock, readily available | 4-8 weeks |
| Mid-Range | $25,000 - $75,000 | Pilot programs, early adoption | Limited, often waitlisted | 8-16 weeks |
| Premium | $75,000 - $150,000 | Industrial trials, enterprise pilots | Partnership/agreement required | 12-24 weeks |
| Enterprise | $150,000+ | Large-scale industrial automation, R&D | Quote-based, custom deployment | Project-specific timeline |
Automation platform as a cloud service for managing fleets of robots, managing facilities, creating maps of facilities, creating workflows, monitoring performance.
Acceleration of AI from NVIDIA for onboard decision making and digital twins of physical facilities utilizing NVIDIA Cosmos
Mobility of Digit in human created environments using a two legged design and ability to navigate variable floor layouts.
Picking and placing totes and warehouse based workflows using a Robot-as-a-Service (RaaS) business model.
Ongoing improvement of Digit’s performance due to use of RaaS.
Software for growing customer bases in logistics by allowing customers to add additional robots to their existing deployments of Digit.
| Application Domain | % of Deployed Units | Specific Tasks | Key Success Metrics | Example Deployments |
|---|---|---|---|---|
| Logistics & Warehousing | 70% | Tote loading/unloading, package handling, last-mile delivery support | ROI <2 years, uptime reliability, human workspace compatibility | Amazon, GXO Logistics, Ford Motor Company, Schaeffler |
| Manufacturing | 20% | Material handling, machine tending, repetitive physical tasks | Payload capacity, safety integration, scalability | Schaeffler Group, enterprise manufacturing pilots |
| Research & Development | 10% | Bipedal locomotion testing, AI training, human-robot interaction | Mobility performance, API extensibility | Partnerships via Agility Engagement Program |
