Hiwonder JetRover is a composite ROS robot developed for ROS education scenarios. It supports 3 motion chassis: Mecanum wheel, Ackerman, and Tank chassis. JetRover is equipped with NVIDIA Jetson or Raspberry Pi, high-performance magnetic encoding motor, and 6-degree-of-freedom robotic arm. High-performance hardware configurations such as lidar, 3D depth camera, 7-inch LCD screen, and far-field microphone array can realize robot motion control, mapping navigation, path planning, tracking and obstacle avoidance, autonomous driving, 3D grabbing, navigation and handling, and somatosensory Interaction, far-field voice interaction, group control formation and other applications. JetRover car robot also deploys a Multimodal Generative AI to support more advanced embodied AI applications. To help you unlock its full potential, we offer open-source codes and learning resources to inspire and support your AI projects.

Hiwonder JetRover car combines multimodal AI large model to understand user voice commands via an AI large language model, enabling multi-point navigation. Once JetRover 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.

JetRover Developer and Ultimate Kit are equipped with a circular 6-microphone array. Going beyond the one-way command-response pattern of traditional AI models, JetRover, powered by ChatGPT, enables a cognitive leap from semantic understanding to physical execution, significantly enhancing the naturalness and fluidity of human machine interaction. Combined with advanced machine vision, Hiwonder JetRover delivers outstanding capabilities in perception, reasoning, and action, making it ideal for developing sophisticated embodied AI applications.

By incorporating artificial intelligence, Hiwonder JetRover can implement KCF target tracking, AI deep learning, color/ tag recognition and tracking, AR augmented reality, etc.

Hiwonder JetRover 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, JetRover AI vision robot 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 it 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.

(The Lidar model is SLAMTEC A1)

(The Lidar model is SLAMTEC A1)

(The Lidar model is SLAMTEC A1. Please note that the microphone array must be manually installed onto the car by the user)

(Note: The Lidar has been upgraded to the EAI G4 model. The microphone array must be manually installed onto the car by the user.)