Title:

OS1-6 Automatic Metal Debris Collection Robot for Laboratory Safety: A Review

Publication: ICAROB2025
Volume: 30
Pages: 47-52
ISSN: 2188-7829
DOI: 10.5954/ICAROB.2025.OS1-6
Author(s): Sophia Fahima Hapizan, Ja’aris Samsudin, Heshalini Rajagopal, Takao Ito, Muhammad Amirul Aiman Asri, Anees ul Husnain
Publication Date: February 13, 2025
Keywords: Laboratory Safety, Metal Debris, Robotics, Waste Management, Machine Learning, Sensors, Resource Management
Abstract: Laboratory safety is paramount, especially when managing hazardous metal debris. This review explores advancements in robotics for waste management, emphasizing autonomous sorting and collection systems driven by AI and machine learning. These technologies enhance the precision and adaptability of robots, enabling accurate detection, classification, and handling of metal debris. By integrating advanced sensors and real-time decision-making, such systems improve resource management and safety in laboratory environments. Challenges such as power efficiency and scalability are also discussed, highlighting future opportunities for optimizing robotic solutions in critical waste management applications.
PDF File: https://alife-robotics.co.jp/members2025/icarob/data/html/data/OS/OS1/OS1-6.pdf
Copyright: © The authors.
This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited.
See for details: https://creativecommons.org/licenses/by-nc/4.0/

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