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.

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.

LanderPi is equipped with a high-performance AI voice interaction module. Unlike conventional AI systems that operate on unidirectional command-response mechanisms, LanderPi leverages ChatGPT to enable a cognitive transition from semantic understanding to physical execution, significantly enhancing the fluidity and naturalness of human-machine interaction. Combined with machine vision, LanderPi exhibits advanced capabilities in perception, reasoning, and autonomous action—paving the way for more sophisticated embodied AI applications.

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.

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.

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.