智能垃圾桶通过奖励机制提升30%回收效率，还能记录用户行为数据。
iTrash: Incentivized Token Rewards for Automated Sorting and Handling
- 用经济激励推动用户正确分类垃圾，提升回收率。
- 实验显示回收效率提升超30%，且可收集使用行为数据。
- 结合区块链实现按投递量积分，适合办公场景智能管理。
随着机器人系统在小型办公空间中承担清洁、维护和资源管理等任务，本文提出iTrash智能垃圾桶，旨在提升小规模办公环境中的回收率。通过为期5天的实验发现，iTrash相比传统垃圾桶可实现超过30%的效率提升。研究结果表明，该系统不仅能提高回收率，还能获取用户行为模式与垃圾桶使用数据，这些信息无法从普通垃圾桶获得，可用于预测和优化空间管理任务。此外，论文探索了基于区块链技术的经济激励机制，采用‘边投递边储蓄’（Save-as-you-Throw, SAYT）模型，以增强用户参与度。
原文摘要 · Abstract (English)
As robotic systems (RS) become more autonomous, they are becoming increasingly used in small spaces and offices to automate tasks such as cleaning, infrastructure maintenance, or resource management. In this paper, we propose iTrash, an intelligent trashcan that aims to improve recycling rates in small office spaces. For that, we ran a 5 day experiment and found that iTrash can produce an efficiency increase of more than 30% compared to traditional trashcans. The findings derived from this work, point to the fact that using iTrash not only increase recyclying rates, but also provides valuable data such as users behaviour or bin usage patterns, which cannot be taken from a normal trashcan. This information can be used to predict and optimize some tasks in these spaces. Finally, we explored the potential of using blockchain technology to create economic incentives for recycling, following a Save-as-you-Throw (SAYT) model.
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