Auction-based Task Allocation Mechanisms for Managing Fruit Harvesting Tasks

Helen Harman, E. Sklar
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引用次数: 3

Abstract

Multi-robot task allocation mechanisms are de-signed to distribute a set of activities fairly amongst a set of robots. Frequently, this can be framed as a multi-criteria optimisation problem, for example minimising cost while maximising rewards. In soft fruit farms, tasks, such as picking ripe fruit at harvest time, are assigned to human labourers. The work presented here explores the application of multi-robot task allocation mechanisms to the complex problem of managing a heterogeneous workforce to undertake activities associated with harvesting soft fruit.
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基于拍卖的水果收获任务分配机制
多机器人任务分配机制的设计是为了在一组机器人之间公平地分配一组活动。通常情况下,这可以被定义为一个多标准优化问题,例如最小化成本同时最大化奖励。在软性水果农场,诸如在收获季节采摘成熟水果等任务被分配给人类劳动者。这里提出的工作探讨了多机器人任务分配机制的应用,以管理异构劳动力的复杂问题,以承担与收获软水果相关的活动。
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Wearable Sensor Tools for Efficient Human Robot Interaction Older adults’ perceptions of Socially Assistive Robots Small datasets for fruit detection with transfer learning. #UKRAS21: The 4th UK Robotics and Autonomous Systems Conference Affordable Robot Mapping using Omnidirectional Vision
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