L2M NSERC - All-weather Autonomous Delivery Robot

L2M NSERC - 全天候自主送货机器人

• 批准号: 576564-2022
• 负责人: Khajepour, AmirA
• 金额: $ 1.46万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Idea to Innovation
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=760361
• 关键词: L2M; NSERC; weather; Autonomous; Delivery

We are addressing the last-mile delivery problems by developing Canada's first all-weather autonomous delivery robots. Our robot is designed to operate primarily in a bike lane or sidewalks or on the shoulder of roads. It is 1.2 meter high and the same distance long, but a mere 0.8 meter wide. It weighs a total of 100 kg and achieves speeds of up to 10 mph. With six independently controlled lockers on its cabin, it can deliver multiple orders at one trip. It is the most cost-efficient solution for last-mile deliveries in the robot delivery market. It is driven by our cooperative hybrid driving system which consists of an autonomous driving feature, a remote driving feature, and a cooperative driving feature. This novel technique ensures all-weather autonomous delivery capability which differentiates our robot with other delivery robots in the market. Using our delivery robot, restaurants can save over 50% of commission fee and end-users can save at over 50% delivery fee. Our all-weather autonomous technology can reduce the frequency of collisions especially in winter conditions because there are no human occupants in the delivery robots and also it leads to overall fewer vehicle miles traveled, contributing to lower overall risk exposure to collisions.

我们正在通过开发加拿大第一个全天候自主送货机器人来解决最后一英里的送货问题。我们的机器人主要设计为在自行车道或人行道上或在路肩上操作。它高1.2米，长相同的距离，但只有0.8米宽。它的总重量为100公斤，速度高达每小时10英里。它的机舱上有六个独立控制的储物柜，可以一次递送多个订单。这是机器人送货市场上最具成本效益的最后一英里送货解决方案。它是由我们的协同混合动力驾驶系统驱动的，该系统包括自动驾驶功能、远程驾驶功能和协同驾驶功能。这项新技术确保了全天候自主送货的能力，这使我们的机器人有别于市场上的其他送货机器人。使用我们的送货机器人，餐厅可以节省50%以上的佣金，最终用户可以节省50%以上的送货费。我们的全天候自主技术可以减少碰撞频率，特别是在冬季条件下，因为送货机器人中没有人类乘员，而且它还导致总体车辆行驶里程减少，从而降低了发生碰撞的总体风险。