Wheeltec S200 Auto ROS Brushless 4WD Robot with Auto Charging

A professional outdoor autonomous mobile platform engineered for research, education, and prototyping. It integrates ROS and Autoware with high-precision RTK localization and a C16 3D LiDAR to deliver reliable perception, mapping, planning, and control for real-world navigation tasks.

Model Overview

• Product Name: Outdoor Autonomous Driving Robot Platform with Autoware and High-Precision Localization
• Model: ROS Autonomous Vehicle Chassis with C16 LiDAR and RTK Navigation System
• Main Controller: NVIDIA Jetson Orin NX / Xavier NX / Industrial Edge Computer (optional Raspberry Pi 5 / RDK X5)
• Operating System: Ubuntu Linux with ROS, Autoware, and SLAM software pre-installed for out-of-the-box use
• Architecture: Ackermann steering mobile platform for true vehicle-like control kinematics
• Software Stack: Autoware.AI, Autoware Universe, ROS Noetic, SLAM, Rviz, Gazebo simulation

Key Features

• Professional outdoor autonomous driving platform for AI navigation, SLAM experiments, and path planning tasks.
• C16 high-resolution 3D LiDAR providing 360° scanning and dense point clouds for accurate mapping and obstacle perception.
• GNSS RTK + IMU fusion achieving centimeter-level localization for precise navigation and trajectory control.
• Autoware AI and Autoware Universe compatibility enabling end-to-end perception, localization, planning, and control.
• Ackermann steering dynamics for realistic automotive kinematics, trajectory tracking, and sensor fusion testing.
• IP65 industrial outdoor design with CNC aluminum chassis for dustproof, waterproof, and shock-resistant operation.
• Modular research-grade expandability for cameras, sonars, stereo vision, LiDAR arrays, and 4G/5G communication.
• Ideal for AI and autonomous driving education in universities and research institutes.

Perception and Localization

• LiDAR System: Industrial-grade C16 3D LiDAR with 360° field of view and high-density point cloud output.
• Localization: RTK-GNSS + IMU sensor fusion for centimeter-level positioning accuracy.
• Sensors Included: C16 LiDAR, IMU, GPS RTK, wheel encoders (optional HD camera, ultrasonic sensors, depth camera).

Navigation, Planning, and Control

• Navigation and Planning: Supports LIO-SLAM, Cartographer, and Autoware autonomous driving modules for real-time mapping and path planning.
• Motion Control: Precision DC motor drive with PID feedback; supports remote tele-operation and autonomous speed control.
• Intelligent Control Modes: GPS path following, obstacle avoidance, waypoint navigation, and autonomous parking.

Connectivity and Power

• Connectivity: USB, CAN, Ethernet, Wi‑Fi, Bluetooth (optional 4G/5G network module).
• Power System: 24 V lithium battery pack with BMS protection and over-current/temperature safety features.
• Operational Range: Endurance ≈ 4–6 hours per charge; max speed 2.5 m/s; payload capacity up to 30 kg.

Construction and Protection

• Material and Protection: CNC aluminum alloy frame with industrial shock absorption and IP65 waterproof structure.

Applications

• Autonomous driving research and full-stack Autoware development.
• LiDAR SLAM mapping, dataset collection, and benchmarking.
• Autonomous delivery platforms and AI navigation prototypes.
• University training labs and research on sensor fusion and planning.

Technical Specifications