Source assessmentSupporting
Integrating Trustworthy Artificial Intelligence with Energy-Efficient Robotic Arms for Waste Sorting
AI robotic waste sortingAcademic
Assessment outcome
total 4/6 (actionability 0 + authority 2 + currency 2)
Total4/6
Actionability0/2
Authority2/2
Currency2/2
Authorship & scope
Attribution (G4 evidence)
No evidence recorded for this source.
Issuer authority (evidence)
No evidence recorded for this source.
Issuers, who it governs, legal force and content are on the full record.
Eligibility gates
G1 · Retrievablepass
Passed in screening.
G2 · AI nexuspass
Passed in screening.
G3 · Governance nexuspass
Passed in screening.
G4 · Attributablepass
Passed in screening.
G5 · In forcepass
Passed in screening.
Scored criteria
Actionability
0/2No rationale recorded.
To match MobileNetV2’s input needs, all images were resized to 128×128 pixels, converted to RGB, and normalized so pixel values were between 0 and 1.
Authority
2/2No rationale recorded.
Proc. of the 13th International Conference on Control, Mechatronics and Automation (ICCMA 2025) 24-26 November 2025, Paris, France Integrating Trustworthy Artificial Intelligence with Energy-Efficient Robotic Arms for Waste Sorting
Currency
2/2No rationale recorded.
Classification
Coverage topicAI robotic waste sorting
PerspectiveAcademic
Lifecycle stage3 Build & train model
Layermodel
GranularityNot recorded