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Hiwonder JetAcker AI Robot Kit – NVIDIA Jetson-Powered ROS1/ROS2 Educational Coding Robot with multimodal AI model (ChatGPT), Voice Control, AI Vision Interaction & SLAM
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Hiwonder JetAcker AI Robot Kit – NVIDIA Jetson-Powered ROS1/ROS2 Educational Coding Robot with multimodal AI model (ChatGPT), Voice Control, AI Vision Interaction & SLAM
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Hiwonder JetAcker AI Robot Kit – NVIDIA Jetson-Powered ROS1/ROS2 Educational Coding Robot with multimodal AI model (ChatGPT), Voice Control, AI Vision Interaction & SLAMMaster robotics with JetAcker tutorials! Access schematics, codes, videos & projects. Your all in one STEAM hub. Dive In Now! https: wiki. hiwonder. com projects JetAcker en jetacker orin nano . Product Description Hiwonder JetAcker is an autonomous driving AI robot car designed specifically for ROS robot education. Equipped with an Ackermann steering mechanism, NVIDIA Jetson controller, Lidar, 3D depth camera, microphone array, and HD display,
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Why choose thelockerguy wholesale?
Master robotics with JetAcker tutorials! Access schematics, codes, videos & projects. Your all-in-one STEAM hub. Dive In Now! https://wiki.hiwonder.com/projects/JetAcker/en/jetacker-orin-nano/.
Product Description
Hiwonder JetAcker is an autonomous driving AI robot car designed specifically for ROS robot education. Equipped with an Ackermann steering mechanism, NVIDIA Jetson controller, Lidar, 3D depth camera, microphone array, and HD display, JetAcker jetson robot delivers robust functionalities including motion control, mapping & navigation, path planning, obstacle avoidance, human recognition, somatosensory interaction, and voice interaction. JetAcker also deploys Multimodal AI Large Models to support more advanced embodied AI applications. To help you unlock its full potential, we offer comprehensive tutorials designed to inspire and support your AI-driven creative projects.
Ackerman Steering Structure Pendulum Suspension
The rear wheels of the chassis are always in a parallel state. When turning, the inner wheel rotation angle is greater than the outer wheel rotation angle. Steering through the difference in rotation angle between the inner and outer wheels is called Ackermann steering.
Equipped with Lidar & Supports SLAM Mapping Navigation
JetAcker is equipped with Lidar, which can realize SLAM mapping and navigation, and supports path planning, fixed-point navigation and dynamic obstacle avoidance.
CNC Steering System
Exceptional rotational force is delivered by full-metal CNC high-precision components and strong-bearing intelligent servos.
High-density Solid Wheel
Payload capacity, deformation resistance, reduced friction coefficient and minimized mechanical wear, resulting in an extended lifespan.
Pendulum Suspension Structure
High-precision pendulum suspension structure balances the force, enabling good adaptability to uneven surfaces while preventing any impact on motor.
240° High-performance Pan-tilt
Hiwonder JetAcker is driven by an serial bus servo which provides over-temperature protection. Its up to 240° rotation range extends JetAcker's exploration ranges.
Dual-Controller Design for Efficient Collaboration
Function List
Integration of AI Large Model with SLAM Mapping and Navigation
JetAcker combines multimodal large model to understand user voice commands via a large language model, enabling multi-point navigation. Once JetAcker 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.
Semantic Understanding
JetAcker leverages a large language model to accurately interpret and analyze user voice commands, enabling a deeper understanding of natural language intent.
Environmental Perception
Powered by a vision language model, Hiwonder JetAcker can interpret objects in its surroundings and understand the spatial layout of the environment.
Intelligent Navigation
JetAcker continuously sends environmental data to the vision language model for real-time in-depth analysis. JetAcker AI robot dynamically adjusts its navigation path based on user voice commands, allowing it to autonomously navigate to designated areas and deliver intelligent, adaptive routing.
Scene Understanding
With the support of a vision language model, JetAcker can deeply interpret the semantic information of its environment, including surrounding objects and events within its field of view.
Large AI Model–Driven Embodied AI Applications
JetAcker Advanced and Ultimate Kit are equipped with a circular 6-microphone array. Going beyond the one-way command-response pattern of traditional AI models. JetAcker, powered by ChatGPT, enables a cognitive leap from semantic understanding to physical execution. That significantly enhances the naturalness and fluidity of human machine interaction. Combined with advanced machine vision, Hiwonder JetAcker delivers outstanding capabilities in perception, reasoning, and action, making it ideal for developing sophisticated embodied AI applications.
Voice Control
With ChatGPT integration, JetAcker can comprehend spoken commands and carry out corresponding actions, enabling intuitive and seamless voice-controlled interaction.
Color Tracking
Hiwonder JetAcker utilizes vision language model analysis to detect and lock onto any object within its field of view. With the integration of a PID algorithm, it achieves precise and real-time target tracking.
Vision Tracking
With the advanced perception capabilities of a vision language model, Hiwonder JetAcker can intelligently identify and lock onto target objects even in complex environments, allowing it to perform real-time tracking with adaptability and precision.
Autonomous Patrolling
Utilizing semantic understanding from a large language model, JetAcker can accurately detect and track lines of various colors in real time while autonomously navigating obstacles, ensuring smooth and efficient patrolling.
MediaPipe Development, Upgraded AI Interaction
JetAcker AI robot utilizes MediaPipe development framework to accomplish various functions, such as human body recognition, fingertip recognition, face detection, and 3D detection.
Fingertip Trajectory Recognition
Human Body Recognition
3D Detection
3D Face Detection
AI Vision Interaction
By incorporating artificial intelligence, Hiwonder JetAcker can implement KCF target tracking, line following, color/ tag recognition and tracking, YOLO object recognition and more.
KCF Target Tracking
Relying on KCF filtering algorithm, the robot can track the selected target.
Vision Line Following
Hiwonder JetAcker car supports custom color selection, and the robot can identify color lines and follow them.
Color/ Tag Recognition and Tracking
JetAcker is able to recognize and track the designated color, and can recognize multiple April Tags and their coordinates at the same time.
YOLO Object Recognition
Utilize YOLO network algorithm and deep learning model library to recognize the objects.
Circular 6-Microphone Array
This Circular 6-Microphone Array is adroit at far-field sound source localization, voice recognition and voice interaction. In comparison to ordinary microphone module, it can implement more advanced functions.
ROS Robot Operating System
Global Popular Robotic Communication Framework
ROS is an open source framework that functions as a 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. Additionally, it delivers the libraries and tools necessary to write, compile, and run code across multiple computers, ultimately enabling code reuse in robotics research and development.
Gazebo Simulation
JetAcker is built on the Robot Operating System (ROS) and integrates with Gazebo simulation. This enables effortless control of the robot in a simulated environment, facilitating algorithm prevalidation to prevent potential errors. Gazebo provides visual data, allowing you to observe the motion trajectories of each endpoint and center. This visual feedback facilitates algorithm enhancement.
Body Simulation Control
Through robot simulation control, algorithm verification of mapping navigation can be carried out to improve the iteration speed of the algorithm and reduce the cost of trial and error.
Rviz Shows URDF Model
Provide an accurate URDF model, and observe the mapping navigation effect through the Rviz visualization tool to facilitate debugging and improving algorithms.
Wrapped Rear Tail Shell
It can effectively protect the PCB circuit and magnetic ring at the end of the motor from external influences, effectively improving the safety and service life of the motor.
Permanent Magnet Brushed Motor
The permanent magnet DC motor has fast starting response speed, large starting torque and smooth speed change.
High-precision Magnetic Encoder
The motor is equipped with a high-precision magnetic encoder, has strong horsepower, high precision, and strong anti-interference ability.
Adapt to Various Scenes
The low speed of 1:90 ratio and the high torque of 15kg.cm enable the motor to adapt to car chassis made of various materials.
Hall Encoder Geared Motor
520 motor comes with high-accuracy encoder, and features strong force and high performance. The built-in AB phase incremental Hall encoder stands out for its high accuracy and anti-interference ability.
Ackermann Wheel
It has the advantages of high load and no deformation, which prevents the tire from falling due to overweight of the vehicle body, effectively reduces the friction coefficient and mechanical loss, and extends the tire life.
Multi-functional Expansion Board
The expansion board has a built-in IMU sensor which can detects robot posture in real time. There are 2-channel PWM, two keys, a LED, a buzzer, 9-channel serial bus servo interface, two GPIO expansion ports and two IIC interfaces on it.
Lithium Battery Parameters
The fuselage has a built-in 11.1V 6000mAh large-capacity lithium battery to improve the robot's endurance.
Specification Parameters
| Size: | 316*259*242mm |
| Weight: | 4.8kg |
| Material: | Full-metal hard aluminum alloy bracket |
| Battery: | 11.1V 6000mAh Lipo battery |
| Continuous working life: | 90min |
| Hardware: | ROS controller and ROS expansion board |
| Operating system: | Ubuntu 18.04 LTS + ROS Melodic |
| Software: | iOS/ Android app |
| Communication: | USB/ WiFi/ Ethernet |
| Programming language: | Python/ C/ C++/ JavaScript |
| Storage: | 32GB TF card |
| Servo: | HTS-20H serial bus servo |
| Control method: | Phone/ Handle control |
| Package size (advanced kit): | 38*31*23cm |
| Package weight (advanced kit): | About 5kg |
Product Parameters
Dimensional Diagram
SLAMTEC A1 Lidar Parameters
EAI G4 Lidar Parameters
7-inch LCD Screen Parameters
HTS-20H Servo Parameters
JetAcker Starter Packing List
JetAcker Standard Packing List
JetAcker Advanced Packing List
JetAcker Ultimate Packing List
Specifications
| Item | Specification |
| Size: | 316*259*242mm |
| Weight: | 4.8kg |
| Material: | Full-metal hard aluminum alloy bracket |
| Battery: | 11.1V 6000mAh Lipo battery |
| Continuous working life: | 90min |
| Hardware: | ROS controller and ROS expansion board |
| Operating system: | Ubuntu 18.04 LTS + ROS Melodic |
| Software: | iOS/ Android app |
| Communication: | USB/ WiFi/ Ethernet |
| Programming language: | Python/ C/ C++/ JavaScript |
| Storage: | 32GB TF card |
| Servo: | HTS-20H serial bus servo |
| Control method: | Phone/ Handle control |
| Package size (advanced kit): | 38*31*23cm |
| Package weight (advanced kit): | About 5kg |
Hiwonder JetAcker AI Robot Kit – NVIDIA Jetson-Powered ROS1/ROS2 Educational Coding Robot with multimodal AI model (ChatGPT), Voice Control, AI Vision Interaction & SLAM
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