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OpenArm A1&A2 Dual-Arm Robotic Platform Embodied AI Agility 1

OpenArm A1&A2 Dual-Arm Robotic Platform Embodied AI Agility 2

OpenArm A1&A2 Dual-Arm Robotic Platform Embodied AI Agility 3

OpenArm A1&A2 Dual-Arm Robotic Platform Embodied AI Agility 4

OpenArm A1&A2 Dual-Arm Robotic Platform Embodied AI Agility 5

OpenArm A1&A2 Dual-Arm Robotic Platform Embodied AI Agility 6

OpenArm A1&A2 Dual-Arm Robotic Platform Embodied AI Agility

Your Purchase Includes:
1x Agility A1&A2 Dual-Arm Robotic Arm (Follower)

Agility A2 is a high-payload dual-arm robotic research platform. A2 has more drive capability than the A1 version. Each arm offers 7 DOF and up to 5 kg rated / 12 kg peak payload, giving researchers a class-leading bimanual manipulator that is powerful enough for real-world tools and workpieces, yet compact enough to fit on a lab bench. With aluminum-alloy and stainless-steel construction, QDD compliant joints, and a robust 48 V drive system, the platform delivers smooth, human-like motion and reliable long-term operation.

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Product Introduction

Agility A2 is a high-payload dual-arm robotic research platform. Each arm offers 7 DOF and up to 5 kg rated / 12 kg peak payload, giving researchers a class-leading bimanual manipulator that is powerful enough for real-world tools and workpieces, yet compact enough to fit on a lab bench. With aluminum-alloy and stainless-steel construction, QDD compliant joints, and a robust 48 V drive system, the platform delivers smooth, human-like motion and reliable long-term operation.

Designed for embodied AI and robot learning, Agility A2 natively supports ROS2, and NVIDIA Isaac, making it easy to collect high-quality teleoperation and scripted data and to deploy imitation learning, reinforcement learning or VLA-based policies on real hardware. The follower can be connected to external leader devices (VR controllers, exoskeletons, custom master arms, etc.) to form a full leader–follower teleoperation system, or driven directly via ROS2 for autonomous experiments. Typical use cases include bimanual manipulation research, contact-rich assembly, human–robot collaboration studies, and university teaching labs that need an open, extensible dual-arm platform.

Product configuration

The robot ships with an integrated industrial PC and a complete software stack. Ubuntu 22.04 with ROS2 Humble is pre-installed, together with an OpenArmX SDK that includes:

motor_manage_openarmx

in-house motor management system for configuration, monitoring and diagnostics

motor_tests_openarmx_com

in-house Python scripts for motor control testing and quick bring-up

openarm_can_openarmx_com

adapted CAN motor driver for OpenArmX

openarm_description

robot model package for simulation and visualization

openarm_ros2

ROS2 control module for motion control and application integration

openarm_utils

in-house developed teaching / demonstration mode package for quick teleoperation and recording

Product display

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Use Case

University & Research Labs

– Embodied AI & Robot Learning

For university and institute labs working on embodied AI, robot learning, imitation learning and reinforcement learning. The dual-arm platform with ROS2 is used to collect data and evaluate VLA-based control policies on real bimanual manipulation tasks such as grasping, sorting and assembly.

Hazardous & Specialized Scenarios

– Remote Manipulation & Teleoperation

For labs simulating nuclear, chemical or biosafety workflows that require leader–follower teleoperation and remote manipulation. Operators control the dual arms to turn valves, toggle switches, pick up vials and transfer samples, studying teleoperation, safety strategies and contact-rich manipulation without exposing humans to hazardous environments.

Robotics & Industrial R&D

– Dual-Arm Assembly & Human–Robot Collaboration

For robotics companies and industrial R&D teams prototyping dual-arm workcells and collaborative robots. The high-payload bimanual manipulator performs contact-rich assembly tasks—plugging connectors, tightening screws, handling tools and clamping or flipping parts—enabling evaluation of impedance control, force control and human–robot collaboration schemes before deployment.

Teaching Labs, Training & Demos

– Robotics Education & Hands-On Skills

For university teaching labs, vocational training centers and demo spaces focusing on robotics and automation. The open dual-arm platform supports hands-on courses on robot kinematics, ROS2 control, teleoperation and embodied AI, and can be turned into interactive demonstrations for science museums or trade shows.

Parameters

Parameter	DM-J4310-2EC V1.1	DM4340 series	DM-J8009P-2EC
Datasheet	Datasheet of DM-J4310-2EC V1.1	Datasheet of DM-J4340-2EC,Drawing of DM-J4340P-2EC	Datasheet of DM-J8009-2EC
Rated Voltage	24V	24V	24V (Supports 24-48V)
Rated Current	2.5A	2.5A	20A
Peak Current	7.5A	8A	50A
Rated Torque	3 Nm	9 Nm	20 Nm
Peak Torque	7 Nm	27 Nm	40 Nm
Rated Speed	120 rpm	36 rpm	24V:100 rpm/48V:200 rpm
Max No-load Speed	200 rpm	52 rpm	24V:160 rpm/48V:320 rpm
Reduction Ratio	10:1	40:1	9:1
Number of Pole Pairs	14	14	21
Phase Inductance	340μH	317 μH	61 μH(at 25°℃)
Phase Resistance	650 mΩ	760 mΩ	90 mΩ(at 25℃)
Outer Diameter	56mm	57 mm	98mm
Height	46mm	53.3mm	61.7 mm
Motor Weight	300 g	362 g	896g
Encoder Bits	14-bitt	14-bitt	14-bit
No.of Encoders	2	2	2
Encoder Type	Magnetic encoder (single-turn)	Magnetic encoder(single-turn)	Magnetic encoder (single-turn)
Control Interface	CAN	CAN	CAN

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