Full metadata
Title
Risk Management of Industrial Robot Systems
Description
As industries advance and automation becomes more prevalent, it is vital that safety remains at the forefront of discussions. To support this, Risk Management
standards have been developed and adopted for both North American and International
markets. Additionally, technical documents have been published to streamline risk
management processes. Part of these emerging technologies includes Collaborative
robots, each with specific methods tailored to their capabilities. These standards offer
guidance not only to end-users but also to Robot manufacturers, ensuring adherence to
safety standards and providing methods for risk mitigation. The risk levels and categories
are organized in a hierarchical structure, ranging from the most severe to negligible.
Under these standards, the process involves identifying risks, mitigating them, validating
the mitigation through verification, and solidifying the results. As technologies continue
to evolve, it is essential for standards to evolve accordingly to ensure optimal safety
levels when implemented correctly. Having effective risk management in place for all
Industrial Robot Systems is paramount to reduce liability and protect both operators and
assets. Detail key standards are that govern the realm of industrial robot systems for both
north America and the rest if the world as well as highlight robot manufacturers
adherence to the standards, response to safety, and how risk management can be applied.
Date Created
2024
Contributors
- Hall, Ammon (Author)
- Gintz, Jerry (Thesis advisor)
- Sugar, Thomas (Committee member)
- Dehghan-Niri, Ehsan (Committee member)
- Arizona State University (Publisher)
Topical Subject
Resource Type
Extent
91 pages
Language
eng
Copyright Statement
In Copyright
Primary Member of
Peer-reviewed
No
Open Access
No
Handle
https://hdl.handle.net/2286/R.2.N.193395
Level of coding
minimal
Cataloging Standards
Note
Partial requirement for: M.S., Arizona State University, 2024
Field of study: Manufacturing Engineering
System Created
- 2024-05-02 01:23:25
System Modified
- 2024-05-02 01:23:33
- 6 months 3 weeks ago
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