ArticleScientific reports2025
Designing green robots with environmental sustainability by applying the concept of multi-criteria decision making.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Navigation and Sensor Fusion for Autonomous Field Robots in Precision Agriculture: Narrative Review.Sensors (Basel, Switzerland) · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To ensure environmental sustainability, cutting-edge technologies and market-oriented products are made eco-friendly. In this regard, several studies have been carried out by many researchers. However, Green Robotics (GR) has to be explored well. It requires more research. This study attempts to examine the performance of GR with two real-time applications. Also, the correlation between GR, Green Supply Chain Management (GSCM), green computing, and the approaches used to increase sustainability in robotics are analyzed. The adoption of green notions in the entire development cycle of a robot (from robot design to its application) is addressed. The measures employed to evaluate green models are selected to assess the effectiveness of the processes related to green computing, selection of green material, and reduction in energy and cost. Two tangible educational Mobile Robots (MRs) are designed using a hybrid MCDM technique. The research problem is addressed using a hybrid methodology integrating Analytic Network Process (ANP) and Interpretive Structure Modelling (ISM). The empirical results prove the proposed method performs well. This study about Green Robotics plays a vital role in sustainability by encouraging eco-friendly materials, reducing energy use, enhancing the efficiency of resources, reducing wastage of resources, reducing our footprints on ecosystems, promoting sustainable manufacturing strategies, and working together with other eco-friendly methods.
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Registered trials
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