Optimized Operation Management With Predicted Filling Levels of the Litter Bins for a Fleet of Autonomous Urban Service Robots-Reference-Cited by-同舟云学术

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Optimized Operation Management With Predicted Filling Levels of the Litter Bins for a Fleet of Autonomous Urban Service Robots

Published:2024 Issue: Volume:12 Page:7689-7703
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Pollak Anton¹^ORCID,Gupta Abhishek¹^ORCID,Göhlich Dietmar¹^ORCID

Affiliation:

1. Chair of Methods in Product Development and Mechatronics, Technical University of Berlin, Berlin, Germany

Funder

Berlin Program for Sustainable Development—BENE

European Regional Development Fund

German Research Foundation and the Open Access Publication Fund of TU Berlin

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10387310.pdf?arnumber=10387310

Reference77 articles.

1. Automatic Waste Management based on IoT using a Wireless Sensor Network

2. Development of Automatic Waste Segregator with Monitoring System

3. Automated segregation and microbial degradation of plastic wastes: A greener solution to waste management problems

4. An Automated Machine Learning Approach for Smart Waste Management Systems

5. Automated Smart Garbage Monitoring System with Optimal Route Generation for Collection

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1. Business Models Used in Smart Cities—Theoretical Approach with Examples of Smart Cities;Smart Cities;2024-07-01

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