Galaxea R1 Pro
About
About Galaxea R1 Pro
Galaxea R1 Pro is a wheeled dual-arm robot for embodied-AI research and mobile manipulation. Two seven-joint arms sit on an articulated torso and an omnidirectional chassis, allowing a developer to combine movement with reaching and object handling. The platform uses an NVIDIA Jetson AGX Orin computer, and Galaxea provides ROS2 and SDK integration for building robot applications. Business and education customers obtain the system through a sales enquiry.
The standard package includes two force-controlled parallel grippers, a remote controller and a charger. Dexterous hands, VR teleoperation equipment and wrist cameras are separate configuration choices. Each arm has a rated payload of 3.5 kilograms and a maximum of five kilograms. The gripper-equipped arm radius is 860 millimetres, while the articulated torso extends the vertical workspace from floor level to two metres.
Capabilities
Source-backed capabilities
- Operating environments: LingBot-VLA GM-100 tabletop evaluation, LingBot-VLA GM-100 demonstration station
- Control modes: Autonomous, Teleoperated
- Multimodal data collection
Research demonstration - Record synchronized multi-view robot trajectories and states during teleoperated tabletop demonstrations. - environment: LingBot-VLA GM-100 demonstration station
Source - Pick and place
Research demonstration - Pick up bowls and stack them in a tabletop research task. - environment: LingBot-VLA GM-100 tabletop evaluation
Source
Observed use
Exact-product configurations are shown without inferring supply, purchase, customer status, standard fit, deployment or partnership.
- NVIDIA Isaac Sim
Digital Simulation - Tested With - Simulated - Galaxea R1 Pro has a digital robot asset in the robot_usds library for Isaac Sim and ROS 2 control. This records a simulation configuration.
Source
Research
- MobiAgent: Dual-Loop Recursive Policy Self-Improvement for Long-Horizon Mobile Manipulation
2026-10-02 - Research Publication - MobiAgent combines dynamic skill planning and visual reflection with offline recycling of deployment trajectories. It evaluates four physical Astribot S1 tasks, separate simulated mobile-manipulation benchmarks, and an additional Unitree R1D household experiment.
Source - Contrastive Action-Image Pre-training for Visuomotor Control
2026-06-15 - Research Publication - CAIP learns action-centred visual representations from 32,041 hours of egocentric human video and 88 hours of robot manipulation data. Physical evaluation uses a Dexmate Vega with two 22-DoF Sharpa Wave hands and reports more than 30% gains on folding, pouring and fine-grained manipulation tasks.
Source - LingBot-VLA: A Pragmatic VLA Foundation Model
2026-01-26 - Research Publication - LingBot-VLA is a vision-language-action model and software release evaluated on the GM-100 benchmark with AgiBot G1, AgileX and Galaxea R1Pro robots.
Source - BEHAVIOR Challenge 2025 simulation benchmark and demonstrations
2025-09-02 - Research Publication - The 2025 BEHAVIOR challenge releases a simulated household benchmark with Galaxea R1 Pro as its default embodiment and expert demonstrations collected through JoyLo.
Source - FiveAges robot_usds simulation asset library
Research Publication - A shared library of robot USD assets for ROS 2 control and Isaac Sim development, with configurable robot and end-effector models.
Source - GalaxeaVLA: G0.5 vision-language-action model and robot workflows
Research Publication - Galaxea's VLA software release provides model fine-tuning, simulation evaluation and real-robot deployment workflows, including R1 Pro configurations.
Source - GalaxeaDP: R1 diffusion-policy simulation workflows
Research Publication - GalaxeaDP provides diffusion-policy training, generated-data conversion and simulation evaluation for Galaxea R1 robots. Its source includes R1 Pro and R1 Lite task configurations and distinguishes current simulation workflows from planned real-world support.
Source - Galaxea Manipulation Simulator
Research Publication - Galaxea Manipulation Simulator provides reusable manipulation benchmarks, expert demonstration generation and baseline training/evaluation workflows for R1, R1 Pro and R1 Lite. It includes more than 30 environments across 17 tasks and exact robot/controller registrations.
Source - Galaxea Diffusion Policy implementation
Research Publication - GalaxeaDP implements diffusion-policy training, open-loop evaluation and simulated deployment with GalaxeaManipSim and LeRobot data formats. Named task configurations distinguish R1 Pro end-effector/joint policies and R1 Lite joint policies.
Source
Timeline
- Galaxea R1 Pro appears in LingBot-VLA’s real-world benchmark
2026-01-27 - Research Publication - The model used 20,000 hours of real-world pretraining data from nine dual-arm robot configurations. The release provided depth-free and depth-distilled model variants, with evaluation separating complete task success from partial success.
Source
Context
Comparable Systems
- W1 Pro
DexForce - Semi Humanoid
- K1
VLAI Robotics - Semi Humanoid
- AGIBOT G1
AgiBot - Semi Humanoid
- AlphaBot 2
AI2 Robotics - Semi Humanoid
- RealBot-01
RealMan Intelligent Technology (Beijing) Co., Ltd. - Semi Humanoid
- RealBot-L2
RealMan Intelligent Technology (Beijing) Co., Ltd. - Semi Humanoid
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PsiBot - Semi Humanoid