2024
DOI: 10.1109/tase.2022.3221969
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Challenges for Future Robotic Sorters of Mixed Industrial Waste: A Survey

Abstract: To achieve recycling of mixed industrial waste toward an advanced sustainable society, waste sorting automation through robots is crucial and urgent. For this purpose, a robot is required to recognize the category, shape, pose, and condition of different waste items and manipulate them according to the category to be sorted. This survey considers three potential difficulties in the sorting automation: 1) End-effector: to robustly grasp and manipulate different waste items with dirt and deformations; 2) Sensor:… Show more

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Cited by 13 publications
(7 citation statements)
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“…In contrast, we focused on glucose meter parts and we also provided a second small dataset specifically for tracking pick-points, which could be used in both disassembling and waste sorting. Vision for robotic mixed waste sorting has been recently covered in [25].…”
Section: B Computer Vision For Waste Managementmentioning
confidence: 99%
“…In contrast, we focused on glucose meter parts and we also provided a second small dataset specifically for tracking pick-points, which could be used in both disassembling and waste sorting. Vision for robotic mixed waste sorting has been recently covered in [25].…”
Section: B Computer Vision For Waste Managementmentioning
confidence: 99%
“…Autonomous vehicles use sensors to understand the world around them, and in many applications, understanding the physical properties of the environment can greatly improve their functionality, such as when a sensor can classify a detection by the material type or structure; we call this ability "material classification". This capability has been demonstrated in several autonomous applications, such as using feedback from force sensors in robotic excavators [2], using robotic arms and optical sensors in recycling plants [3], or capturing infra-red (IR) spectra of biomass on a production line to understand the composition of the feedstock [4]. Other methods of active sensing for material classification have been demonstrated with thermal sensors [5] as well as millimeter-wave vibrometry [6].…”
Section: Introductionmentioning
confidence: 99%
“…There has been a growing interest in exploring the application of bioeconomy principles in bionic production and their potential contributions to environmental protection, sustainable production, and resource efficiency (Alves Filho et al 2018;Ding-yi et al 2019;García-Domínguez et al 2020;Kiyokawa et al 2022;Liu et al 2018;Morales and Lhuillery 2021;Nielsen et al 2023;Okada et al 2022;Yang et al 2021). Industries across diverse sectors aim to incorporate bio-inspired designs and renewable biological resources into their production processes.…”
Section: Introductionmentioning
confidence: 99%
“…Traditional biotech practices have often prioritised short-term economic gains over long-term environmental impacts. This highlights the need for a comprehensive examination of Green Robotics concepts and strategies (Alves Filho et al 2018), additive manufacturing's role in sustainable development (Ding-yi et al 2019), standardisation developments in additive manufacturing (García-Domínguez et al 2020), waste sorting automation through robots (Kiyokawa et al 2022), realising the benefits of robotic process automation in supply chains (Nielsen et al 2023), and Six-Sigma quality management of additive manufacturing (Yang et al 2021).…”
Section: Introductionmentioning
confidence: 99%