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Hiwonder LanderPi: Raspberry Pi Robot Car with AI Vision Robotic Arm
Hiwonder LanderPi: Raspberry Pi Robot Car with AI Vision Robotic Arm
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Hiwonder

Hiwonder LanderPi: Raspberry Pi Robot Car with AI Vision Robotic Arm

SKU: HIWND-458

₹ 87,149.99

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Mecanum Chassis
Starter Kit
With Raspberry Pi 5 4GB
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Hiwonder LanderPi: Raspberry Pi Robot Car with AI Vision Robotic ArmMecanum Chassis / Starter Kit / With Raspberry Pi 5 4GB₹ 87,149.99
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large ai model ros robot car
LanderPi robot car is a composite ROS educational robot developed by Hiwonder. It supports three motion chassis: Mecanum wheel, Ackerman, and Tank chassis. It is equipped with Raspberry Pi, large-torque encoding motors, and 6DOF robotic arm. High-performance hardware configurations such as lidar, 3D depth camera, and AI voice interaction box can realize robot motion control, mapping navigation, path planning, tracking and obstacle avoidance, autonomous driving, 3D grabbing, navigation and handling, somatosensory Interaction, AI voice interaction, group control formation, and other applications.
LanderPi also deploys a Multimodal Large AI Model to support more advanced embodied AI applications. To help you unlock its full potential, open-source code and learning resources are provided to inspire and support your AI projects.

6dof robot arm

6DOF Robot Arm, Intelligent Bus Servo

Equipped with a 6DOF robot arm & high-torque bus servos, LanderPi achieves performance & longer operating endurance.

ros slam lidar robot car

Lidar SLAM Mapping Navigation

LanderPi robot car is equipped with lidar, which can realize SLAM mapping and navigation, and supports path planning.

3d depth camera vision robot car

 Depth Vision First-Person View

With a 3D depth camera mounted at the end of its 6DOF robotic arm, LanderPi provides first-person visual intelligence for precise object recognition, tracking, and grasping.

ai voice robot car

 WonderEcho Pro AI Voice Box

LanderPi Advanced Kit comes with a WonderEcho Pro AI voice box that delivers excellent noise reduction and clear audio capture. 



Dual-Controller Design for Efficient Collaboration

raspberry pi robot car

Function List

chatgpt ros2 robot learning

Integration of Large AI Model with SLAM Mapping & Navigation

Hiwonder LanderPi car combines multimodal large model to understand user voice commands via a large language model, enabling multi-point navigation. Once it arrives at the designated location, it uses a vision language model to gain a deep understanding of the surrounding objects and events. This approach greatly enhances the robot's intelligence, adaptability, and overall user experience, making it better suited to meet real-world needs.
multimodal ai model chatgpt robot car

ai robot car semantic understanding

Semantic Understanding

LanderPi robot car leverages a large language model to accurately interpret and analyze user voice commands, enabling a deeper understanding of natural language intent.

ai robot car intelligent navigation

Intelligent Navigation

LanderPi Raspberry Pi robot continuously sends environmental data to the vision language model for real-time in-depth analysis.

ai robot car environmental perception

Environmental Perception

Powered by a vision language model, LanderPi can interpret objects in its surroundings and understand the spatial layout of the environment.

ai robot car Scene understanding

Scene Understanding

With the support of a vision language model, LanderPi can deeply interpret the semantic information of its environment, including surrounding objects.


embodied artificial intelligence rpi robot carlarge ai model learning robot kitinverse kinematics robot arm

Why Choose US

LanderPi is equipped with a professional-grade Lidar that delivers true 360° panoramic scanning, enabling full-scene perception without blind spots. Powered by the fusion of 3D vision and IMU technology, it intelligently plans the shortest and safest routes with remarkable precision. Even in rapidly changing environments, LanderPi adapts instantly, ensuring mapping and navigation remain efficient, smooth, and highly accurate at all times. From smart home cleaning robots to advanced industrial automation, this single-Lidar solution provides unmatched reliability and performance across diverse scenarios.
Did You Know? Adding more Lidars doesn't guarantee better results. Two low-cost Lidars stitched together often suffer from scan overlaps, noisy data, and synchronization errors—leading to blurry maps and delayed obstacle avoidance. That's why a single high-end Lidar consistently outperforms multiple cheap alternatives.
hiwonder robot carhiwonder robot car
hiwonder robot chassisrobot car slam localization and mappingrobot car slam localization and mappingrobot car slam localization and mapping3d depth camera 6dof robot arm3d depth camera 6dof robot armautonomous driving robot carrobot car lidar mapping and navigaitondeeping learning robot car kitMediapipe robot arm kit


ROS Robot Operating System

Global Popular Robotic Communication Framework
ROS is an open-source meta operating system for robots. It provides some basic services, such as hardware abstraction, low-level device control, implementation of commonly used functionality, message-passing between processes, and package management. And ROS also offers the tools and library functions needed to obtain, compile, write, and run code across computers. It aims at providing code reuse support for robotics research and development.

ros2 robot kitros2 robot kit

URDF Simulation

Hiwonder LanderPi is developed on the ROS framework and supports URDF simulation. Through the Rviz visualization tool, mapping and navigation results can be observed, enabling convenient debugging and algorithm optimization.
urdf simulation smart ai roboturdf simulation smart ai robotRobot control methodHiwonder LanderPi robot carai vision depth camera robot arm

Aurora930 Pro Specifications

Module parameter Size 76.5 × 20.7 × 21.8 mm Imaging performance Depth data format 16-bit Raw
Baseline 40mm Depth resolution/Frame rate 640×400 @12fps (FOV: 74°×51°)
Interface USB 2.0 Wafer connector RGB data format NV12
Depth accuracy ±8mm @1m RGB resolution /Frame rate
Working distance 15–300 cm IR data format 8-bit Raw
Operating temperature -10℃ to 55℃ IR resolution /Frame rate
Operating humidity 0% to 95% RH (non-condensing) Firmware capabilities Firmware upgrade Supports USB OTA Update
Operating illuminance 3–80,000 Lux Hot start delay <300ms
Power supply 5V±10%, 1.5A System compatibility OS compatibility Linux / ARMv8 / ROS / Windows
Power consumption Average <1.6W
Safety rating Class 1 Laser safety
6 dof robotic arm ros robot slam lidar ai robot car voice commandraspberry pi 5 robot car
educational robotics kit

 

Specification Parameters

Machine model Mecanum chassis version (3D depth camera) Ackerman chassis version (3D depth camera) Tank chassis version (3D depth camera)
Chassis type Mecanum chassis Ackerman chassis Tank chassis
Size 212*174*441mm 213×160×448mm 278×195×458mm
Weight 1.79kg 1.73kg 2.18kg
Motor 310 Metal Geared DC Motor (for Mecanum Wheel & Ackermann Chassis) MC520 Metal Geared DC Motor (for Tracked Chassis)
Encoder AB-phase High-precision Quadrature Encoder
Body material Full Metal Aluminum Alloy Chassis with Anodized Surface Treatment
ROS controller RRCLite Robot Controller + Raspberry Pi 5 Mainboard
Camera Aurora930 Pro 3D Depth Camera
LiDAR Aoride MS200 LiDAR
Audio / pickup WonderEchoPro AI Voice Interaction Box
Battery 7.4V 2200mAh 10C Lithium Battery (with protection board), 60min runtime (varies by usage)
Operating system Raspberry Pi OS + Ubuntu 22.04 LTS + ROS2 Humble (Docker)
Software iOS / Android Mobile App
Communication WiFi / Ethernet
Programming tools Python / C / C++ / JavaScript
Storage 64GB TF Card
Servo models HX-06L Smart Bus Servo, LD-1501MG Digital Servo (Ackermann Chassis Version)
Supporting materials Development Manual, Tutorials, ROS Source Code, System Image, Supporting Software
Packaging weight & size 2.8kg, 43*23*21cm

LanderPi Starter Packing List

ros educational robots

 

LanderPi Standard Packing List

ros educational robots

 

LanderPi Advanced Packing List

ros educational robots

What motion chassis configurations are supported?
LanderPi supports three motion chassis: Mecanum wheel, Ackerman, and Tank chassis.
What hardware features can be used with LanderPi?
The system is powered by Raspberry Pi with large-torque encoding motors and a 6DOF robotic arm; optional lidar, 3D depth camera, and AI voice interaction box enable advanced sensing and interaction.
Is this product suitable for ROS and AI projects?
Yes, it is a composite ROS educational robot and open source code and learning resources are provided to support AI projects.
What AI capabilities does LanderPi offer?
It deploys a Multimodal Large AI Model to support advanced embodied AI applications such as AI vision, mapping and control.
Where can I find tutorials and support resources?
Tutorials and open source learning resources are available on the official Hiwonder LanderPi learn page.
A
Admin
Welcome to the discussion thread for Hiwonder LanderPi: Raspberry Pi Robot Car with AI Vision Robotic Arm
Feel free to ask questions, share tips or report issues.

Discover More In:

DIY (Do-It-Yourself) → DIY Kits → Educational Kits →

Category: View all Robot Kit

Fill out the form below and our team will get back to you with bulk pricing.

Description
Ask AI about this product
Open in ChatGPT Open in Claude

large ai model ros robot car
LanderPi robot car is a composite ROS educational robot developed by Hiwonder. It supports three motion chassis: Mecanum wheel, Ackerman, and Tank chassis. It is equipped with Raspberry Pi, large-torque encoding motors, and 6DOF robotic arm. High-performance hardware configurations such as lidar, 3D depth camera, and AI voice interaction box can realize robot motion control, mapping navigation, path planning, tracking and obstacle avoidance, autonomous driving, 3D grabbing, navigation and handling, somatosensory Interaction, AI voice interaction, group control formation, and other applications.
LanderPi also deploys a Multimodal Large AI Model to support more advanced embodied AI applications. To help you unlock its full potential, open-source code and learning resources are provided to inspire and support your AI projects.

6dof robot arm

6DOF Robot Arm, Intelligent Bus Servo

Equipped with a 6DOF robot arm & high-torque bus servos, LanderPi achieves performance & longer operating endurance.

ros slam lidar robot car

Lidar SLAM Mapping Navigation

LanderPi robot car is equipped with lidar, which can realize SLAM mapping and navigation, and supports path planning.

3d depth camera vision robot car

 Depth Vision First-Person View

With a 3D depth camera mounted at the end of its 6DOF robotic arm, LanderPi provides first-person visual intelligence for precise object recognition, tracking, and grasping.

ai voice robot car

 WonderEcho Pro AI Voice Box

LanderPi Advanced Kit comes with a WonderEcho Pro AI voice box that delivers excellent noise reduction and clear audio capture. 



Dual-Controller Design for Efficient Collaboration

raspberry pi robot car

Function List

chatgpt ros2 robot learning

Integration of Large AI Model with SLAM Mapping & Navigation

Hiwonder LanderPi car combines multimodal large model to understand user voice commands via a large language model, enabling multi-point navigation. Once it arrives at the designated location, it uses a vision language model to gain a deep understanding of the surrounding objects and events. This approach greatly enhances the robot's intelligence, adaptability, and overall user experience, making it better suited to meet real-world needs.
multimodal ai model chatgpt robot car

ai robot car semantic understanding

Semantic Understanding

LanderPi robot car leverages a large language model to accurately interpret and analyze user voice commands, enabling a deeper understanding of natural language intent.

ai robot car intelligent navigation

Intelligent Navigation

LanderPi Raspberry Pi robot continuously sends environmental data to the vision language model for real-time in-depth analysis.

ai robot car environmental perception

Environmental Perception

Powered by a vision language model, LanderPi can interpret objects in its surroundings and understand the spatial layout of the environment.

ai robot car Scene understanding

Scene Understanding

With the support of a vision language model, LanderPi can deeply interpret the semantic information of its environment, including surrounding objects.


embodied artificial intelligence rpi robot carlarge ai model learning robot kitinverse kinematics robot arm

Why Choose US

LanderPi is equipped with a professional-grade Lidar that delivers true 360° panoramic scanning, enabling full-scene perception without blind spots. Powered by the fusion of 3D vision and IMU technology, it intelligently plans the shortest and safest routes with remarkable precision. Even in rapidly changing environments, LanderPi adapts instantly, ensuring mapping and navigation remain efficient, smooth, and highly accurate at all times. From smart home cleaning robots to advanced industrial automation, this single-Lidar solution provides unmatched reliability and performance across diverse scenarios.
Did You Know? Adding more Lidars doesn't guarantee better results. Two low-cost Lidars stitched together often suffer from scan overlaps, noisy data, and synchronization errors—leading to blurry maps and delayed obstacle avoidance. That's why a single high-end Lidar consistently outperforms multiple cheap alternatives.
hiwonder robot carhiwonder robot car
hiwonder robot chassisrobot car slam localization and mappingrobot car slam localization and mappingrobot car slam localization and mapping3d depth camera 6dof robot arm3d depth camera 6dof robot armautonomous driving robot carrobot car lidar mapping and navigaitondeeping learning robot car kitMediapipe robot arm kit


ROS Robot Operating System

Global Popular Robotic Communication Framework
ROS is an open-source meta operating system for robots. It provides some basic services, such as hardware abstraction, low-level device control, implementation of commonly used functionality, message-passing between processes, and package management. And ROS also offers the tools and library functions needed to obtain, compile, write, and run code across computers. It aims at providing code reuse support for robotics research and development.

ros2 robot kitros2 robot kit

URDF Simulation

Hiwonder LanderPi is developed on the ROS framework and supports URDF simulation. Through the Rviz visualization tool, mapping and navigation results can be observed, enabling convenient debugging and algorithm optimization.
urdf simulation smart ai roboturdf simulation smart ai robotRobot control methodHiwonder LanderPi robot carai vision depth camera robot arm

Aurora930 Pro Specifications

Module parameter Size 76.5 × 20.7 × 21.8 mm Imaging performance Depth data format 16-bit Raw
Baseline 40mm Depth resolution/Frame rate 640×400 @12fps (FOV: 74°×51°)
Interface USB 2.0 Wafer connector RGB data format NV12
Depth accuracy ±8mm @1m RGB resolution /Frame rate
Working distance 15–300 cm IR data format 8-bit Raw
Operating temperature -10℃ to 55℃ IR resolution /Frame rate
Operating humidity 0% to 95% RH (non-condensing) Firmware capabilities Firmware upgrade Supports USB OTA Update
Operating illuminance 3–80,000 Lux Hot start delay <300ms
Power supply 5V±10%, 1.5A System compatibility OS compatibility Linux / ARMv8 / ROS / Windows
Power consumption Average <1.6W
Safety rating Class 1 Laser safety
6 dof robotic arm ros robot slam lidar ai robot car voice commandraspberry pi 5 robot car
educational robotics kit

 

Specification Parameters

Machine model Mecanum chassis version (3D depth camera) Ackerman chassis version (3D depth camera) Tank chassis version (3D depth camera)
Chassis type Mecanum chassis Ackerman chassis Tank chassis
Size 212*174*441mm 213×160×448mm 278×195×458mm
Weight 1.79kg 1.73kg 2.18kg
Motor 310 Metal Geared DC Motor (for Mecanum Wheel & Ackermann Chassis) MC520 Metal Geared DC Motor (for Tracked Chassis)
Encoder AB-phase High-precision Quadrature Encoder
Body material Full Metal Aluminum Alloy Chassis with Anodized Surface Treatment
ROS controller RRCLite Robot Controller + Raspberry Pi 5 Mainboard
Camera Aurora930 Pro 3D Depth Camera
LiDAR Aoride MS200 LiDAR
Audio / pickup WonderEchoPro AI Voice Interaction Box
Battery 7.4V 2200mAh 10C Lithium Battery (with protection board), 60min runtime (varies by usage)
Operating system Raspberry Pi OS + Ubuntu 22.04 LTS + ROS2 Humble (Docker)
Software iOS / Android Mobile App
Communication WiFi / Ethernet
Programming tools Python / C / C++ / JavaScript
Storage 64GB TF Card
Servo models HX-06L Smart Bus Servo, LD-1501MG Digital Servo (Ackermann Chassis Version)
Supporting materials Development Manual, Tutorials, ROS Source Code, System Image, Supporting Software
Packaging weight & size 2.8kg, 43*23*21cm

LanderPi Starter Packing List

ros educational robots

 

LanderPi Standard Packing List

ros educational robots

 

LanderPi Advanced Packing List

ros educational robots

FAQ
What motion chassis configurations are supported?
LanderPi supports three motion chassis: Mecanum wheel, Ackerman, and Tank chassis.
What hardware features can be used with LanderPi?
The system is powered by Raspberry Pi with large-torque encoding motors and a 6DOF robotic arm; optional lidar, 3D depth camera, and AI voice interaction box enable advanced sensing and interaction.
Is this product suitable for ROS and AI projects?
Yes, it is a composite ROS educational robot and open source code and learning resources are provided to support AI projects.
What AI capabilities does LanderPi offer?
It deploys a Multimodal Large AI Model to support advanced embodied AI applications such as AI vision, mapping and control.
Where can I find tutorials and support resources?
Tutorials and open source learning resources are available on the official Hiwonder LanderPi learn page.
Reviews
Forum
A
Admin
Welcome to the discussion thread for Hiwonder LanderPi: Raspberry Pi Robot Car with AI Vision Robotic Arm
Feel free to ask questions, share tips or report issues.
Similar Products

Discover More In:

DIY (Do-It-Yourself) → DIY Kits → Educational Kits →

Category: View all Robot Kit

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