This review examines the advancements in Artificial Intelligence (AI) and Robotics over the past decade, highlighting their transformative impact across various industries. AI has significantly evolved, showcasing breakthroughs in deep learning, natural language processing, and predictive analytics. Concurrently, robotics has integrated AI, leading to more autonomous and adaptable systems. These advancements have revolutionized sectors like healthcare, manufacturing, transportation, and consumer services. However, this rapid development brings ethical challenges and potential job displacement concerns. Despite these issues, AI and robotics present immense opportunities for economic growth, innovation, and addressing global challenges such as climate change and healthcare accessibility. The review underscores the need for continued research into ethical frameworks, technological integration, and long-term impacts, emphasizing the importance of balancing technological progress with societal welfare. AI and robotics, as twin pillars of the digital future, offer a unique blend of challenges and opportunities, necessitating a thoughtful approach to their development and application.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Artificial Intelligence and Robotics: The Twin Pillars of a Digital Future: A Review


    Additional title:

    Lect. Notes in Networks, Syst.


    Contributors:

    Conference:

    International Conference on Robot Intelligence Technology and Applications ; 2023 ; Taicang December 06, 2023 - December 08, 2023



    Publication date :

    2024-11-22


    Size :

    7 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Artificial intelligence for future generation robotics

    Shaw, Rabindra Nath ;Ghosh, Ankush ;Balas, Valentina E. | TIBKAT | 2021


    Artificial intelligence in wireless robotics

    Chen, Kwang-Cheng | TIBKAT | 2020


    Toward intelligent cyber-physical systems: Digital twin meets artificial intelligence

    Groshev, Milan / Magalhaes Guimaraes, Carlos Eduardo / Martín Pérez, Jorge et al. | BASE | 2021

    Free access


    An Intelligent Edge-based Digital Twin for Robotics

    Girletti, Luigi / Groshev, Milan / Magalhaes Guimaraes, Carlos Eduardo et al. | BASE | 2020

    Free access