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A Thematic Coding Framework for Ethical and Safety Challenges in Collaborative Robotics in Manufacturing: A Systematic Approach

ethical and safety challenges in collaborative roboticsAcademicdocument

Assessment outcome

total 1/4 (actionability 0 + authority 1); currency unscored, so pro-rated to 1.5/6

Total1/6
Actionability0/2
Authority1/2
Currency—

Authorship & scope

Attribution (G4 evidence)

Authors Deepak Hajoary and Raju Narzary are explicitly named.

Issuer authority (evidence)

Level 1: Academic book chapter published by Springer, representing a reputable institution acting officially.

Issuers, who it governs, legal force and content are on the full record.

Eligibility gates

G1 · Retrievablepass

HTTP 200, 1304 words of full text extracted

G2 · AI nexuspass

The source is explicitly about collaborative robotics and safety challenges in manufacturing.

G3 · Governance nexuspass

The source addresses safety, ethics, and risk challenges in collaborative robotics.

G4 · Attributablepass

Authors Deepak Hajoary and Raju Narzary are explicitly named.

G5 · In forcepass

There is no indication on the page that the text is superseded or withdrawn.

Scored criteria

Actionability

0/2

Level 0: Description or analysis only, providing a thematic coding framework without binding obligations.

This framework provides a methodologically robust tool for researchers and practitioners to navigate the complex landscape of ethical and safety issues in collaborative manufacturing robot design.

Authority

1/2

Level 1: Academic book chapter published by Springer, representing a reputable institution acting officially.

Lecture Notes in Networks and Systems, vol 1725. Springer, Cham.

Currency

—

computed: no publish/modified date found on the page (never guessed)

Classification

Coverage topicethical and safety challenges in collaborative robotics
PerspectiveAcademic
Lifecycle stage1 Plan & design
Layerboth
Granularitydocument
A Thematic Coding Framework for Ethical and Safety Challenges in Collaborative Robotics in Manufacturing: A Systematic Approach · CEI AI Governance Database