Technical Parameters
| Parameter | Specification |
| Length | 947mm |
| Width | 568mm |
| Height | 358mm |
| Maximum Speed (Speed-Limitable) | 10 Km/h |
| Maximum Climbing Gradient | 20% |
| Minimum Turning Radius | 0.9m |
| Maximum Payload | 150 Kg |
| Curb Weight | ≤ 50 Kg |
| Driving Range | ≥ 25km |
| Speed Control Precision | ±0.1 Km/h |
| Braking Response Time | ±100 ms |
| Secondary Development Support | Yes (Open Interfaces, CAN Protocol) |
| Steering System | 4WD Dual Ackermann Steering |
| Adaptability | All-terrain |
The AutoBots-W0 stands out as a specialized low-speed unmanned vehicle platform engineered with a focus on versatility, performance, and adaptability. Its core design adopts a skateboard chassis with separated upper and lower bodies, a structure that enables seamless integration of diverse upper modules—making it an ideal choice for educational institutions aiming to establish practical training systems for autonomous driving. By offering open interfaces and supporting secondary development, it empowers researchers and students to conduct in-depth experiments and innovations in the field of autonomous driving technology.
Beyond education, the AutoBots-W0 excels in real-world applications. Equipped with 4WD and dual Ackermann steering, it boasts exceptional all-terrain adaptability and flexible maneuverability, ensuring stable operation in both indoor and outdoor environments. Whether it’s patrolling large industrial parks, delivering packages in residential areas, transporting materials in farms, or serving as a base for rocker-arm robots in special tasks, this platform delivers consistent and reliable performance.
Key advantages of the AutoBots-W0 include a 150KG maximum payload capacity, enabling it to carry heavy equipment and supplies; precise speed control and rapid braking response, enhancing operational safety and efficiency; and a long battery life, supporting extended working hours without frequent recharging. These features collectively make it a valuable asset for industries seeking to optimize logistics processes and automate routine operations.
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