The Wheeltec AKM Pro 3-Robot Outdoor Autoware ROS GNSS Cluster Kit is a professional-grade solution for universities, research labs, and developers working on autonomous driving and robotics. Built on an Ackermann steering chassis, it replicates real vehicle dynamics, making it ideal for testing navigation, path planning, and cooperative driving algorithms.
This kit includes three coordinated robots, enabling experiments in multi-vehicle fleet management, swarm robotics, and collaborative navigation. Integrated with Autoware and ROS (Robot Operating System), the system supports both ROS1 and ROS2 frameworks, ensuring compatibility with modern autonomous driving stacks.
🔧 Technical Highlights
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Ackermann Pro Chassis: Realistic car-like steering for accurate autonomous driving simulations.
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Multi-Robot Cluster: Three-vehicle set supports synchronized fleet experiments and cooperative driving tasks.
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Autoware Integration: High-precision localization and path planning using Autoware AI/Universe frameworks.
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GNSS/RTK Positioning: Provides centimeter-level accuracy for outdoor navigation.
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Sensor Suite: Configurable with LiDAR (e.g., C16 or M10P), depth cameras, and IMU modules for robust perception.
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ROS Compatibility: Full support for ROS-based navigation, SLAM, and algorithm development.
💡 Key Features
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Realistic Vehicle Dynamics: Ackermann steering mimics real cars, ideal for autonomous driving algorithm validation.
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Cluster Control: Enables synchronized experiments with three robots, perfect for swarm robotics and cooperative AI.
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High-Precision Localization: GNSS RTK ensures reliable outdoor navigation with centimeter-level accuracy.
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Flexible Sensor Options: LiDAR + depth camera + IMU provide comprehensive environmental perception.
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Research-Ready Platform: Open-source software stack, modular hardware, and expandable design.
📦 Applications
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Autonomous Driving Research: Path planning, obstacle avoidance, and cooperative driving.
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Multi-Robot Coordination: Fleet management, swarm robotics, and collaborative navigation.
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SLAM & Mapping: Real-time mapping and localization in outdoor environments.
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Education & Competitions: Teaching tool for robotics courses and autonomous driving contests.