Dual 7-DOF arms with long reach
Two independent 7-DOF arms provide 860mm of reach per arm and 6.5kg of peak payload per arm, giving the platform room to work in larger spaces.
Axol is a dual-arm robot for physical AI work, with two 7-DOF arms, open-source control software, and options for a mobile base or a pre-integrated kit. It is aimed at builders, researchers, and teams doing manipulation, teleoperation, and robot learning.
Axol is a dual-arm robot built for physical AI work. It is designed for builders who want a deployment-ready manipulation platform with two independent 7-DOF arms, 860mm reach per arm, and 6.5kg peak payload per arm.
The product pages position Axol for contact-rich manipulation, robot learning, policy deployment, VR teleoperation, and data collection. The platform adds internally routed cabling, wrist-camera passthrough, and a 500Hz CAN control path, while the software stack is open source and built around a Python SDK and CLI.
Almond also sells the Axol Base, a height-adjustable mobile platform, and the Axol Kit, which bundles Axol with the base, cameras, and onboard compute for a more complete setup. The site says the system ships from San Francisco and is designed and assembled in Dogpatch, San Francisco.
Two independent 7-DOF arms provide 860mm of reach per arm and 6.5kg of peak payload per arm, giving the platform room to work in larger spaces.
Full 180° pitch and yaw at the wrist is intended to reduce shoulder singularities and make trajectories smoother across a wider workspace.
Internally routed cabling protects wiring from exposure and keeps the robot’s exterior cleaner for deployment and maintenance.
The open-source stack includes a Python SDK and CLI with bimanual IK, low-level CAN control, ZED streaming, LeRobot bindings, VR teleoperation, and a joint tuning toolkit.
WebXR teleoperation streams hand and elbow poses over WebSocket and includes data collection and recording modes for remote operation.
The robot supports FAKRA GMSL 2.0 passthrough connectors for wrist-mounted cameras and includes USB-C CAN control plus XT90 power input.
Use Axol when you need a dual-arm platform for contact-rich manipulation, such as coordinated grasping or object handling that benefits from two independent arms.
Use the open-source SDK, VR teleoperation pipeline, and recording modes to collect demonstrations and build datasets for policy learning.
Use the Axol Kit when you want a more complete bench-to-deployment setup with the robot, base, cameras, and onboard compute already bundled together.
Use the Axol Base for installations that need a movable, height-adjustable platform that can fit through standard doors and be customized with T-slot mounting.
Use the platform for research or internal development where you want access to control software, camera passthrough, and a configurable manipulator rather than a closed appliance.
Axol is a dual-arm robot with two independent 7-DOF arms, 860mm reach per arm, 6.5kg peak payload per arm, internal cabling, and FAKRA GMSL 2.0 wrist-camera passthrough. The Axol Kit adds the height-adjustable base, three ZED X One S cameras, and a ZED Box Orin NX 16GB compute unit.
The source says Axol uses a Python SDK and CLI, plus an open-source stack that includes a bimanual IK solver, low-level CAN motor interface, ZED camera streaming, LeRobot bindings, VR teleoperation, and a joint tuning toolkit. Documentation and GitHub links are provided from the product page.
The Axol Base is a height-adjustable mobile base with a 60x60cm footprint, four leveling casters, and T-slot mounting. It is designed for flexible installations and is listed as compatible with the Axol dual-arm robot.
The product pages describe Axol for contact-rich bimanual manipulation, robot learning and policy deployment, VR teleoperation and data collection, and manipulation research. The Axol Kit is positioned for starting data collection and training with the robot, base, cameras, and onboard compute pre-integrated.
The site lists Axol as shipping from San Francisco and says every Axol is designed and assembled in Dogpatch, San Francisco, California.
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