Sathiya V, Mahalakshmi S, Ramabalan S, Chinnadurai M
Department of Computer Science and Engineering, Selvam College of Technology, Namakkal, Tamil Nadu, 637003, India.
Department of Mechanical Engineering, Selvam College of Technology, Namakkal, Tamil Nadu, 637003, India.
Sci Rep. 2025 Jul 2;15(1):22749. doi: 10.1038/s41598-025-07605-2.
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.
为确保环境可持续性，前沿技术和以市场为导向的产品都要实现环保。在这方面，许多研究人员已经开展了多项研究。然而，绿色机器人技术（GR）仍有待深入探索，还需要更多研究。本研究试图通过两个实时应用来检验GR的性能。此外，还分析了GR、绿色供应链管理（GSCM）、绿色计算以及用于提高机器人技术可持续性的方法之间的相关性。探讨了在机器人的整个开发周期（从机器人设计到其应用）中采用绿色理念的问题。选择用于评估绿色模型的措施，以评估与绿色计算、绿色材料选择以及能源和成本降低相关过程的有效性。使用混合多准则决策技术设计了两个实用的教育移动机器人（MR）。采用结合层次分析法（ANP）和解释结构模型（ISM）的混合方法来解决研究问题。实证结果证明所提出的方法表现良好。这项关于绿色机器人技术的研究通过鼓励使用环保材料、减少能源消耗、提高资源效率、减少资源浪费、减少我们在生态系统中的足迹、推广可持续制造战略以及与其他环保方法协同合作，在可持续性方面发挥着至关重要的作用。
