Manifold Odin1

The world's first spatial memory module

Manifold Odin1

The world's first spatial memory module

Plug & Play, Instant Localization

Odin 1 integrates spatial perception and localization directly onboard, enabling developers to quickly obtain real-time pose data, point clouds, etc. Odin 1 fuses an RGB camera, IMU, and LiDAR into a single compact system, allowing robots to achieve stable and reliable spatial localization with just a few lines of code. No need to build a localization system from scratch, or complicated parameter tuning, or sensor fusion dirty work, or high-performance external computing platform required.

<launch>
    <!--
        Usage: roslaunch odin_ros_driver odin1_ros1.launch
    -->

    <!-- Set node name -->
    <arg name="node_name" default="host_sdk_sample"/>

    <!-- Set parameter file path -->
    <arg name="config_file" default="$(find odin_ros_driver)/config/control_command.yaml"/>

    <!-- Set RViz configuration file path -->
    <arg name="rviz_config" default="$(find odin_ros_driver)/config/odin_ros.rviz"/>

    <!-- Launch main node -->
    <node name="$(arg node_name)" pkg="odin_ros_driver" type="host_sdk_sample" output="screen">
        <param name="config_file" value="$(arg config_file)"/>
    </node>

    <node pkg="odin_ros_driver" type="pcd2depth_node" name="pcd2depth_node" output="screen" >
        <rosparam command="load" file="$(find odin_ros_driver)/config/control_command.yaml"/>
        <param name="calib_file_path" value="$(find odin_ros_driver)/config/calib.yaml"/>
    </node>

    <node pkg="odin_ros_driver" type="cloud_reprojection_node" name="cloud_reprojection_node" output="screen" >
        <rosparam command="load" file="$(find odin_ros_driver)/config/control_command.yaml"/>
        <param name="calib_file_path" value="$(find odin_ros_driver)/config/calib.yaml"/>
    </node>

    <!-- Image overlay node - overlays reprojected points on camera image -->
    <node pkg="odin_ros_driver" type="image_overlay_node" name="image_overlay_node" output="screen" >
        <rosparam command="load" file="$(find odin_ros_driver)/config/control_command.yaml"/>
    </node>

    <!-- Launch RViz with configuration -->
    <node name="rviz" pkg="rviz" type="rviz" args="-d $(arg rviz_config)" output="screen"/>
</launch>

Technical Specifications

Parameter Name	Parameter Name	Specification / Value
Depth Module	Depth Resolution	240*180
	Max Range	30 m @ 10% reflectivity (<500lux) 70 m @ 90% reflectivity (<500lux)
	Min Range	0.2 m
	Point Rate	Up to 700,000 pts/s
	Depth Accuracy	±3 cm @ 1σ [1]
	Field of View (FOV)	120° × 90°
	Angular Resolution	0.5° × 0.5°
	Laser Wavelength	940 nm
	Laser Safety	Class 1 (Eye Safe)
	Frame Rate	Up to 15 FPS
RGB Camera Module	Resolution	1600 × 1296
	Shutter Type	Global Shutter
	FOV (H×V)	129° H × 104° V × 173° D
Overall Machine Parameters	SLAM Positioning Accuracy	±5 cm + 1% [2]
	Weight	Approximately 280 g
	Dimensions (L×W×D)	100 × 62 × 43 mm (body) / 46 mm (with connector)
	Power Consumption	11 W (rated), 24 W (peak)
	Protection Rating	IP66
	Operating Voltage	9-26 V
	Operating Temperature	-10°C ~ 40°C
	Storage Temperature	-10°C ~ 45°C
Data Output	Point Cloud Output	True Color SLAM / Raw Point Cloud
	Image Output	Raw RGB Image
	IMU	High-Frequency Raw Data
	Pose Output	High-Frequency Rotation and Position Data
	Software Interface	Provides a complete SDK & ROS interface, supports Linux platform Supports deployment of custom SLAM algorithms
MindCloud Software Suite	· MindCloud Studio (PC · Local Professional Processing) · MindCloud Go (Mobile · On-site Viewing & Uploading) · MindCloud Render (PC · Gaussian Rendering Software) · MindCloudX.AI (Cloud · Multi-core Computing & Deep Application Platform)

Spatial Perception

High-performance spatial perception, giving the device keen "eyes"

Breakthrough in the limitations of traditional RGBD cameras, providing higher accuracy and wider coverage of environmental perception capabilities

Spatial Perception

High-performance spatial perception, giving the device keen "eyes"

Breakthrough in the limitations of traditional RGBD cameras, providing higher accuracy and wider coverage of environmental perception capabilities

Spatial Memory

Persistent spatial memory, creating "hippocampus" navigation and cognition

Provide intelligent agents with long-term stable environmental cognition and precise navigation capabilities. It can "remember" and "find the way" in complex environments

Spatial Memory

Persistent spatial memory, creating "hippocampus" navigation and cognition

Provide intelligent agents with long-term stable environmental cognition and precise navigation capabilities. It can "remember" and "find the way" in complex environments

Compact and Versatile

Compact and lightweight design, providing open and compatible "interfaces"

Easily suitable for multi-platform deployment such as robots and UAVs, supporting custom development and customization

Compact and Versatile

Compact and lightweight design, providing open and compatible "interfaces"

Easily suitable for multi-platform deployment such as robots and UAVs, supporting custom development and customization

Open Ecosystem

Provide an open SDK that can output complete original and processed point clouds, images and IMU data to enhance scalability and development flexibility

Open Ecosystem

Provide an open SDK that can output complete original and processed point clouds, images and IMU data to enhance scalability and development flexibility