Artículo: AMZ-B0DS2G2JJX

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JetAcker ROS2 Robot Car with ChatGPT Large AI Model Lidar Depth Camera AI Voice Control, SLAM Mapping Navigation Path Planning Autonomous Driving Smart Programming Robot, Advanced Kit & JetsonNano 4GB

Disponibilidad
En stock
Peso con empaque
6.06 kg
Devolución
Condición
Nuevo
Producto de
Amazon

Sobre este producto
  • Driven by AI & ROS, powered by Jetson. JetAcker AI robot car is a high-performance educational robot developed for ROS learning scenarios. Equipped with Jetson Nano/Orin Nano controllers and compatible with both ROS1 and ROS2, it integrates deep learning frameworks with TensorRT acceleration, making it ideal for advanced AI applications such as SLAM and vision recognition.
  • SLAM Development and Diverse Configuration. JetAcker smart robot car is equipped with a powerful combination of a 3D depth camera and Lidar. It utilizes a wide range of advanced algorithms, including gmapping, hector, karto, cartographer and RRT, enabling precise multi-point navigation, TEB path planning, and dynamic obstacle avoidance. Using 3D vision, it can capture point cloud images of the environment to achieve RTAB 3D mapping navigation.
  • Empowered by Large Al Model, Human-Robot Interaction Redefined. JetAcker robot car deploys multimodal models with ChatGPT at its core, integrating 3D vision and a 6-microphone array. This synergy enhances its perception, reasoning, and actuation capabilities, enabling advanced embodied AI applications and delivering natural, context-aware human-robot interaction.
  • Classical Ackermann Steering Mechanism. The Ackermann chassis combines maneuverability and steering precision, facilitating the learning and validation of real-world vehicle steering principles. This design enables realistic simulation of autonomous driving scenarios for enhanced educational experiences.
  • Comprehensive Learning Tutorials. Through JetAcker's structured curriculum, master cutting-edge technologies including ROS development, SLAM mapping and navigation, 3D depth vision, OpenCV, YOLOv8, MediaPipe, Large Al model integration, Movelt and Gazebo simulation, and voice interaction.
  • Supported by extensive documentation and video tutorials, our progressive learning system breaks down complex concepts into digestible modules, guiding you from fundamentals to advanced implementations-empowering you to build your intelligent robotic systems.
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