Development of an automated curbside waste collection system based on artificial intelligence

基于人工智能的路边垃圾自动收集系统的开发

• 批准号: 548961-2019
• 负责人: Gadsden, Stephen
• 金额: $ 1.75万
• 依托单位: University of Guelph
• 依托单位国家: 加拿大
• 项目类别: Alliance Grants
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=679647
• 关键词: Development; automated; curbside; waste; collection

The proposed research project includes a partnership between the Intelligent Control and Estimation (ICE) Laboratory (Dr. Gadsden) at the University of Guelph (Guelph, Ontario) and Eagle Vision Systems (Kitchener, Ontario). The primary goal of the collaborative research partnership is to develop an automated waste collection system that is safe and reliable to operate in both residential and commercial settings. This topic is important to Canada for a number of economic, societal, and political reasons. The federal government recently established a strategy on the development and use of AI in Canada. This federal strategy was developed to accomplish four main goals: to increase the number of AI researchers and skilled HQP in Canada; to establish interconnected research hubs throughout the country; to develop leadership on implications of AI to the economy, ethics, policy, and legal fields; and, to support a national AI research community. The expected outcomes and impacts include: 1) automation of curbside waste collection; 2) development of new artificial intelligence (AI) strategies; 3) knowledge transfer activities to other industries such as manufacturing; 4) reduction of curbside waste collection costs to municipalities; and, 5) training of HQP in AI, robotics, and mechatronic systems. The expected outcomes of the proposed research project will positively contribute to Canada's economy and overall goal to be a leader in AI technology.

拟议的研究项目包括圭尔夫大学（圭尔夫，安大略省）的智能控制和估计（ICE）实验室（Gadsden博士）和Eagle Vision Systems（基奇纳，安大略省）之间的合作。合作研究伙伴关系的主要目标是开发一种安全可靠的自动废物收集系统，可在住宅和商业环境中运行。由于经济、社会和政治原因，这个话题对加拿大很重要。联邦政府最近制定了一项关于在加拿大开发和使用人工智能的战略。制定这一联邦战略是为了实现四个主要目标：增加加拿大人工智能研究人员和熟练HQP的数量；在全国建立相互联系的研究中心；在人工智能对经济、伦理、政策和法律领域的影响方面发挥领导作用；支持国家人工智能研究社区。预期的结果和影响包括：1)路边废物收集自动化；2)开发新的人工智能（AI）策略；3)向制造业等其他行业的知识转移活动；4)减少市政当局收集路边废物的成本；5)人工智能、机器人和机电一体化系统的HQP培训。拟议研究项目的预期成果将为加拿大的经济和成为人工智能技术领导者的总体目标做出积极贡献。