Design and implementation of a semi-autonomous waste segregation robot

Chinnathurai, Balaji Masanamuthu; Sivakumar, Ramkrishna; Sadagopan, Sushuruth; Conrad, James M.

doi:10.1109/secon.2016.7506679

Cited by 23 publications

(7 citation statements)

References 2 publications

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“…The older systems involved humans segregating the waste in the hazardous environment that, as a result, can affect their health. Modern waste management methods have started practicing robots to segregate the waste, thus minimizing the human interaction with hazardous waste [57][58][59]. The automated robots-based waste segregation system highly depends on image processing techniques for object recognition and Artificial algorithms (AI) algorithms to accurately classify the waste based on their type, color, or shape [60].…”

Section: G Robots-assisted and Reliable Waste Segregationmentioning

confidence: 99%

Blockchain for Waste Management in Smart Cities: A Survey

Ahmad¹,

Salah²,

Jayaraman³

et al. 2021

Preprint

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Smart cities have the potential to overcome environmental problems caused by improper waste disposal to improve human health, protect the aquatic ecosystem, and reduce air pollution. However, today's systems, approaches, and technologies leveraged for waste management are manual and centralized that make them vulnerable to manipulation and the single point of failure problem. Also, a large portion of the existing waste management systems within smart cities fall short in providing operational transparency, traceability, audit, security, and trusted data provenance features. In this paper, we explore the key role of blockchain technology in managing waste within smart cities as it can offer traceability, immutability, transparency, and audit features in a decentralized, trusted, and secure manner. We discuss the opportunities brought about by blockchain technology in various waste management use cases and application scenarios, including real-time tracing and tracking of waste, reliable channelization and compliance with waste treatment laws, efficient waste resources management, protection of waste management documentation, and fleet management. We introduce a framework that leverages blockchain-based smart contracts to automate the key services in terms of waste management of smart cities. We compare the existing blockchain-based waste management solutions based on important parameters. Furthermore, we present insightful discussions on several ongoing blockchain-based research projects and case studies to highlight the practicability of blockchain in waste management. Finally, we present open challenges that act as future research directions.

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Section: G Robots-assisted and Reliable Waste Segregationmentioning

confidence: 99%

Blockchain for Waste Management in Smart Cities: A Survey

Ahmad¹,

Salah²,

Jayaraman³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…Various robots have been developed for pro-environmental tasks over years, utilizing their ability to physically manipulate environments to perform tasks that might be dull, dirty, or dangerous for humans. One common application is recycling and waste management, where autonomous robots sort waste products and determine what can and cannot be recycled [3,16]. Wang et al [5] developed a robot that patrols construction sites and finds, collects, and sorts material, such as discarded screws and nails, to be recycled.…”

Section: Pro-environmental Robotsmentioning

confidence: 99%

EnviRobots: How Human–Robot Interaction Can Facilitate Sustainable Behavior

2021

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Environmental psychology aims to study human behavior with regard to the environment and how psychological techniques can be used to motivate behavior change. We argue that these concepts can be applied to interactive robots designed for other tasks, which then enables them to encourage sustainability behaviors in humans. We first present a literature review on the current state of social robots that are used to encourage sustainable behaviors. We next present eight hypothetical scenarios which are informed by the progress that has already been made in social robots in sustainability, as well as notable gaps where further environmental psychological concepts could be utilized. These scenarios encompass possible robots that range from limited sensing and no manipulation capabilities, to more sophisticated sensing and no manipulation, to sophisticated sensing and manipulation capabilities. We present these scenarios in which human–robot interaction could potentially result in pro-environmental behavioral changes in humans as recommendations for robot designers interested in helping design social robots for sustainability.

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“…Matsuoet al [15]performed an experimental evaluation of waste collection robot system for an indoor Smart Home kitchen. A semi-autonomous robot is designed and implemented for performing segregation to recyclable and non-recyclable waste in [16].An automated indoor waste collection system designed for Smart Homes is proposed in [17]. The system is based on a wave front model and the received signal strength indicator values to navigate the mobile robot.…”

Section: Related Workmentioning

confidence: 99%

Increasing Efficiency of IoT-enabled Waste Collectionwith Controlled Mobility of Robotic Bins

2020

International Journal of Applied Mathematics and Informatics

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Smart Cities cater for ever increasing population, which needs sustainable solutions for efficient wellbeing. Waste collection is significant for providing a green ecosystem in such cities. IoT-enabled waste collection solutions assist such a green ecosystem. Waste collection used to be performed by humans or via human intervention.However, contemporary research incorporates robots to perform waste collection. In this paper we describethe real case of a line following robot bin that assists waste collection in the Smart City of Saint Petersburg, Russia. Evaluation is performed through a model combining the distance covered by the actor, the time passed for the collection and the bins emptied. The results show the superiority of robot bins, compared to human workers, highlighting the impact of IoT-enabled robot assisted waste collection as part of a green ecosystem

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Design and implementation of a semi-autonomous waste segregation robot

Cited by 23 publications

References 2 publications

Blockchain for Waste Management in Smart Cities: A Survey

Blockchain for Waste Management in Smart Cities: A Survey

EnviRobots: How Human–Robot Interaction Can Facilitate Sustainable Behavior

Increasing Efficiency of IoT-enabled Waste Collectionwith Controlled Mobility of Robotic Bins

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