Proceedings of the International Conference on Advancements in Materials, Design and Manufacturing for Sustainable Development, ICAMDMS 2024, 23-24 February 2024, Coimbatore, Tamil Nadu, India

Research Article

Cognifying the Future: Exploring Cutting- Edge Synergies in Robotics and Artificial Intelligence

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  • @INPROCEEDINGS{10.4108/eai.23-2-2024.2346977,
        author={Sowmya Dhanalakshmi  C and Hari Haran  B and Karthick  B},
        title={Cognifying the Future: Exploring Cutting- Edge Synergies in Robotics and Artificial Intelligence},
        proceedings={Proceedings of the International Conference on Advancements in Materials, Design and Manufacturing for Sustainable Development, ICAMDMS 2024, 23-24 February 2024, Coimbatore, Tamil Nadu, India},
        publisher={EAI},
        proceedings_a={ICAMDMS},
        year={2024},
        month={6},
        keywords={artificial intelligence robotics automation control system manufacturing},
        doi={10.4108/eai.23-2-2024.2346977}
    }
    
  • Sowmya Dhanalakshmi C
    Hari Haran B
    Karthick B
    Year: 2024
    Cognifying the Future: Exploring Cutting- Edge Synergies in Robotics and Artificial Intelligence
    ICAMDMS
    EAI
    DOI: 10.4108/eai.23-2-2024.2346977
Sowmya Dhanalakshmi C1,*, Hari Haran B1, Karthick B1
  • 1: SNS College of Technology
*Contact email: hod.mech@snsct.org

Abstract

As we are in the 21st century, there are many sense of technical breakthrough of evolution through the key parts of the machine. This paper mentions the cognifications future through the synergies in the robotics and artificial intelligence as the methodology involves in the deep learning and neural networks, reinforcements leaving for the robotics, human – robot interaction and collaboration, advancement tin the computer vision exponential growth in the robotic application and ethical implication and societal concerns. In this paper, we have reviewed the various papers, which would said about the artificial intelligence relating to the manufacturing and artificial general intelligence. As a conclusion, hybrid work force means that the Human-AI can make manufacturing in the sense of advent evolution.