Lumos Touch R1

6-DoF Desktop Robotic Arm

Purchase & Partnerships

LUMOS TOUCH R1

A Real-World Deployment Platform for Embodied AI, Built for Seamless Development

Lumos Touch R1 is a 6-DoF desktop robotic arm from Lumos, designed to work with the Lumos FastUMI Pro multimodal embodiment-free data-collection system. It provides a real-hardware validation platform spanning data collection, model training, policy deployment, and physical execution for imitation learning, reinforcement learning, and VLA research.

6 DoFCAN CommunicationROS / ROS2

Key Capabilities for Real-World Validation

Open Ecosystem, Flexible Development

Supports CAN communication with drag teaching, offline trajectory playback, and API control. Compatible with ROS / ROS2 and mainstream simulation environments with a ready-to-use SDK.

Full-Stack Validation Flow

Modular end-effector interfaces support grippers, dexterous hands, and multimodal sensors for rapidly building perception-planning-execution testbeds.

Precise, Stable, Research-Ready

Built on integrated 6 DoF servo joints with a near-spherical workspace, 1.5 kg payload, and ±0.1 mm repeatability for tabletop experiments and fine manipulation.

Product Specifications

Key metrics, control interfaces, and software support at a glance.

Lumos Touch R1
CORE PERFORMANCE
Arm DoF
6-DoF
Repeatability
±0.1 mm
Payload
1.5 kg
Reach
Max 657 mm
Standard gripper
Rated grip force 130 N
BASIC
Joint structure
Integrated all-in-one servo joints
Supply voltage
DC 24 V
Mounting holes
4×M5 standard flange
Mounting
Upright / inverted / side
Communication
CAN
Comms interface
CAN (1 Mbps), CAN-to-USB
Control Modes
Drag Teaching / Offline Trajectory Execution / API
External ports
Power ×1, CAN ×1
ENVIRONMENT
Operating environment
Temp -20°C to 50°C, humidity ≤85% (non-condensing)
Noise level
<60 dB
SUPPORT
Software
Ubuntu 20.04/22.04/24.04、Python3.10、ROS/ROS2、SDK
光效背景

Bringing Embodied AI into the Real World

A full-stack industrial embodied AI capability system built on three integrated pillars: scenario resources, data and model capabilities, and hardware infrastructure.