An open-source meta-operating system with a well-developed ecosystem and user base.

Can meet the needs of ROSSLAM function 

development such as mapping and navigation, 

and path planning.

3D reality 

mapping can be achieved in conjunction 

with a depth camera.

The built-in IMU sensor allows for real-time 

adjustment of the aircraft's attitude.

19 high-performance serial bus servos, 

powerul and efficient

Python programming

A mainstream programming language with numerous developer communities.

Powered by Jetson Nano, it runs faster and more smoothly.

A mainstream machine vision framework that can meet the needs of most vision-related artificial intelligence projects.

Mapping and Navigation

Built-in mapping and navigation algorithm package, enabling autonomous obstacle avoidance during navigation.

AI performance has been greatly improved, resulting in smoother image and video transmission.

CPU
64-bit 1.5GHz quad-core
28nm process)

GPU
Broadcom VideoCore VI
@ 500MHZ

①LiDAR Mapping and Navigation       
Supports mapping algorithms such as Gmapping, Karto, and Hector, and supports path planning, fixed-point navigation, and multi-point navigation.

Model number

DaBai DCW

①RTABSLAM 3D Vision Mapping and Navigation
Utilizing the RTABSLAM algorithm, it fuses visual and radar data to construct a 3D color map. The robot can autonomously navigate and avoid obstacles within this map, supporting global relocalization and autonomous localization functions.

③AI visual recognition function gameplay
The head can be equipped with either an RGB camera or a depth camera, and uses an integrated machine vision library to freely develop AI vision functions.

Little R Technology's six-legged bionic robot supports multiple control methods (PC and gamepad).The gamepad allows control of the robot's movement in all directions. The PC version can be used with our provided virtual machine development environment to implement advanced SLAM functions such as visual SLAM mapping and navigation

1.Computer control
2.Handle control

The Phage ROSSLAM hexapod bionic robot features a lightweight yet 

strong aluminum alloy body and is equipped with 19 high-performance 

serial bus servos connecting the elbow,shoulder, and ankle joints of each 

leg. Utilizing inverse kinematics algorithms, the hexapod robot can 

precisely perform complex movements, ensuring overall fluidity and 

closely mimicking the motion postures of real quadrupedal organisms.

The gimbal servo uses metal gears,

which not only increases the servo's lifespan 

but also makes the camera's rotation 

more stable.

also utilize metal gears, employing 

high-torque dual-axis digital servos to

provide ample power for the robot!

The robot uses a high-capacity lithium 

battery pack, allowing for longer battery life.

S27035KG Serial Bus Servo

By using inverse kinematics algorithms, the system vividly simulates the walking, squatting, rotating, and 

crouching movements of hexapods, thereby adapting to various complex road surfaces and achieving 

all-terrain driving.

1.Diagonal movement in a star shape

2.Twisting around the X-axis

3.Twisting about the Y-axis 

4. Twisting about the Z-axis

By using inverse kinematics algorithms, the system vividly simulates the walking, squatting, rotating, and 

crouching movements of hexapods, thereby adapting to various complex road surfaces and achieving 

all-terrain driving.

The hexapod robot provides all open-source code, including body motion, gait planning, mapping, 

navigation, machine vision, etc., and comes with a secondary development manual and tutorial.

Phage bacteriophage ROS SLAM hexapod biomimetic robot parameters

Silan A1