Industrial humanoid robots for logistics and warehouse automation
Agility Robotics builds hardware and software for deployed humanoid robots in logistics environments. The tech stack reveals a mature robotics engineering operation: C++, ROS/ROS 2, MuJoCo simulation, LiDAR perception, and Isaac Sim for digital twins—complemented by EtherCAT real-time communication and ARM-based embedded systems. Active adoption of Unity, Unreal, and OpenXR signals a strategic shift toward 3D simulation and spatial interfaces for fleet management and operator training. The hiring surge (38 roles in 30 days, engineering-heavy mix with senior/staff-level concentration) and projects focused on deployment scaling, sim2real transfer, and a data flywheel indicate the company is moving from prototype to production operations.
Notable leadership hires: AI Director
Agility Robotics develops industrial humanoid robots deployed in logistics and warehouse environments. The company operates across the full robotics stack: mechanical design (Creo CAD, Altium schematics), embedded firmware (C++, FreeRTOS, EtherCAT), perception and manipulation (OpenCV, Open3D, perception pipelines), simulation (MuJoCo, Isaac Sim), and fleet management software. Current focus areas include scaling deployments, improving robot reliability and safety, and building data infrastructure to feed learning loops from production environments back into design and training. The organization spans 201–500 people across engineering, manufacturing, operations, and product, with headquarters in Salem, Oregon.
Primary stack is C++ (firmware and core robotics), Python (perception and scripting), and ROS/ROS 2 (middleware). Simulation relies on MuJoCo and Isaac Sim; CAD work uses Creo.
Active projects include next-generation Digit robot variants, humanoid deployment in logistics, sim2real transfer, perception pipelines for manipulation, and building a data flywheel to improve fleet performance at scale.
Other companies in the same industry, closest in size
Agility Robotics's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.