在开发机器人时，设计和技术的交互起着关键作用。 小蛮驴轮式物流机器人专为末端物流打造。 这款送货机器人展示了一种有机的设计形式语言，适用于广泛的应用场景。 它融合了阿里巴巴达摩院先进的人工智能和自动驾驶技术，具有类人认知智能，应急响应速度比人类快七倍。 在特定的使用领域，机器人的运输负载可高达 100 公斤。 此外，4 千瓦时的充电可续航 100 多公里。天气，车库中 GPS 连接状态以及隧道等都不会对其运行产生影响。 它配备可在 20 秒内更换的抽拉式电池。 这些功能与令人印象深刻的环境响应能力相辅相成。 一个复杂的感知算法使机器人能够识别很小的障碍物，而精确的定位算法使它即使在无 GPS 的环境中也能够实现厘米级的精准定位。 除此之外，意图预测算法使机器人在 0.01 秒内能够识别 100 多个行人和车辆的行为意图。 另有五个安全设计，确保其在公共场所可靠运营。 在实际运行中，该机器人的综合准时交货率达到 97%。

In developing robots, the interaction of design and technology plays a key role. The Xiaomanlv wheeled logistics robot has been specially developed for terminal logistics. Showcasing an organic language of form, this delivery robot is suitable for a wide range of application scenarios. Integrating the highly advanced AI and auto-driving technology from Alibaba DAMO Academy, it operates based on human-like cognitive intelligence, which makes its emergency response speed seven times faster than that of a human. In its specific area of use, the robot boats a load of up to 100 kg. Moreover, with a 4-kWh charge, it can run for over 100 km and regardless of the weather or GPS connection in garages or tunnels. It features a drawer-type battery that can be replaced within 20 seconds. These features are complemented by an impressive responsiveness to the environment. A sophisticated perception algorithm allows the robot to recognise even small obstacles, while its precise location algorithm enables it to achieve centimetre-level location even in GPS-free environments. An additional intention prediction algorithm allows the robot to recognise the acting intentions of more than 100 pedestrians and vehicles within 0.01 second. In addition, it has five safety designs that allow it to operate reliably in public spaces. In actual operation, the robot’s comprehensive rate of punctual delivery reached 97 per cent.