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AIDA: - AI based Drone-port Automation for higher productivity, scalability and removing human error

AIDA： - 基于人工智能的无人机端口自动化，可提高生产力、可扩展性并消除人为错误

基本信息

批准号：
10079633
负责人：
金额：
$ 6.37万
依托单位：
INTELIPORTS LIMITED
依托单位国家：
英国
项目类别：
Collaborative R&D
财政年份：
2023
资助国家：
英国
起止时间：
2023 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=10079633
关键词：
AIDA AI based Drone port

项目摘要

Autonomous drones for logistics are just around the corner and they represent a paradigm shift in how we will move goods around the UK. However, in order to benefit from these autonomous flights, there must be autonomous ground systems too, otherwise the operation quickly becomes commercially un-viable as teams of people are needed at each end.Inteliports and Motion Robotics is developing the robotics that automates the entire ground operation to allow for true end to end autonomous logistics.Project AIDA will test the feasibility of using deep neural networks to synchronise the collaboration of all Inteliports' robotic systems so as to maximise the objective of efficiency, accuracy and interoperability between drone ports.AIDA aims to remove the cognitive complexity experienced by human managers from the logistics loop, allowing humans to manage at a higher level of oversight, devolving boring repetitive tasks to the robots and thereby increasing productivity, scalability and safety.AIDA is especially useful when collaborating within a network of multiple drone-ports where the complexity of operations becomes exponentially complex.Advancing the state of the art, the study will test the feasibility of a specific solution for simulating the Deep Reinforcement Learning Training environment in such a way it perfectly matches the real world drone port and can be achieved efficiently though the use of statistical modelling.Moreover once fully trained we will show that the trained network can drive the systems in the real world.

用于物流的自主无人机即将到来，它们代表了我们在英国运输货物的方式的范式转变。然而，为了从这些自主飞行中受益，也必须有自主的地面系统，否则操作很快就会变得商业上不可行，因为两端都需要团队人员。Inteliports和Motion Robotics正在开发一种机器人技术，使整个地面操作自动化，从而实现真正的端到端自主物流。AIDA项目将测试使用深度神经网络来同步所有Inteliports机器人系统协作的可行性，从而最大限度地提高无人机端口之间的效率、准确性和互操作性。AIDA旨在消除人类管理人员在物流循环中所经历的认知复杂性，使人类能够在更高的监督水平上进行管理，将无聊的重复任务移交给机器人，从而提高生产率、可扩展性和安全性。当在多个无人机端口的网络中协作时，AIDA特别有用，因为操作的复杂性变得指数级复杂。为了推进最先进的技术，该研究将测试模拟深度强化学习训练环境的特定解决方案的可行性，以使其与现实世界的无人机端口完美匹配，并且可以通过使用统计建模有效地实现。此外，一旦完全训练，我们将证明训练后的网络可以在现实世界中驱动系统。