{"id":36807,"date":"2025-06-13T08:13:48","date_gmt":"2025-06-13T08:13:48","guid":{"rendered":"https:\/\/blog.edibon.com\/?p=36807"},"modified":"2025-06-17T15:10:22","modified_gmt":"2025-06-17T15:10:22","slug":"automation-robotics-and-artificial-intelligence-education-ethics-and-innovation-with-engr-muhammad-zakir-shaikh","status":"publish","type":"post","link":"https:\/\/blog.edibon.com\/en\/automation-robotics-and-artificial-intelligence-education-ethics-and-innovation-with-engr-muhammad-zakir-shaikh\/","title":{"rendered":"Automation, Robotics, and Artificial Intelligence: Education, ethics, and innovation with Engr. Muhammad Zakir Shaikh"},"content":{"rendered":"\t\t
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In a world where automation and robotics are advancing rapidly, technical education faces the challenge of not only teaching technology but also training professionals capable of applying this knowledge with critical thinking, vision, and responsibility. How can we teach complex systems to new generations? What role does artificial intelligence play in the classroom? How do we balance theory, practice, and ethics? <\/p>\n\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>\r\n\t\t\t\t

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At EDIBON, we wanted to address these questions with a key figure in the field: Engr. Muhammad Zakir Shaikh, Director of the National Center for Robotics, Automation and Artificial Intelligence in Pakistan, researcher at the University of M\u00e1laga (Spain), and a global reference in educational innovation <\/strong>, with experience in multiple international projects, ranging from AI-based diagnostics to training in sustainability.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>\r\n\t\t\t\t

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Interview with Engr. Muhammad Zakir Shaikh <\/h2>\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>\r\n\t\t\t\t
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What strategies are most effective for teaching mechatronics and automation?<\/strong><\/p>\n\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>\r\n\t\t\t\t

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According to Mr. Shaikh, teaching this discipline must go beyond theory. \u201cIt\u2019s not just about explaining algorithms or control loops, but about sparking curiosity<\/em>,\u201d he says. One of his preferred strategies is project-based learning: when students build a robot or simulate an autonomous system, they begin to understand how perception, planning, and action are integrated into a functional system.
He also highlights the use of tools like ROS (Robot Operating System) and simulators such as Gazebo or Rviz, which allow students to visualize and debug complex processes. \u201cFaced with abstract concepts, these platforms offer a tangible and meaningful experience<\/em>.\u201d <\/p>\n\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>\r\n\t\t\t\t

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How do you integrate theoretical concepts with practical experiences in the classroom?<\/strong><\/p>\n\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>\r\n\t\t\t\t

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He applies a pedagogical model he calls learn, see, do<\/em>. First, he explains the theoretical fundamentals using clear analogies. Then, he demonstrates them in real-time simulations. Finally, he allows students to experiment and reflect on what they\u2019ve learned. <\/p>\n

For example, when teaching PID control, it\u2019s not just about showing graphs \u2014 students are given the opportunity to adjust and work directly with a real regulation and control unit. \u201cLearning becomes memorable when you physically feel the effect of modifying a parameter,<\/em>\u201d he says.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>\r\n\t\t\t\t

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What is the impact of AI tools on education and engineering research?<\/strong><\/p>\n\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>\r\n\t\t\t\t

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From his perspective, technologies such as neural networks, computer vision, and natural language processing (NLP) are transforming both teaching and research.<\/p>

In education:<\/p>

  • Adaptive platforms personalize learning based on student profiles.<\/li>
  • Virtual labs based on computer vision remove physical barriers to hands-on learning.<\/li>
  • NLP tools automate grading and provide immediate feedback, improving teaching efficiency.<\/li><\/ul>

    In research:<\/p>

    • AI accelerates the analysis of large data sets.<\/li>
    • Enhances collaboration between researchers through summaries, trend detection, and assisted writing.<\/li>
    • Opens new possibilities in experimental design and innovation.<\/li><\/ul>

      However, Engr. Shaikh<\/strong> also warns of ethical challenges, data privacy, and the need for equitable access to these tools<\/p>\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>\r\n\t\t\t\t

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      What emerging trends in mechatronics, automation, and robotics should professors consider?<\/strong><\/p>\n\t\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>\r\n\t\t\t\t

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      Technological advancements are reshaping technical training in mechatronics, automation, and robotics. To prepare students for real-world industry challenges, it is essential to integrate the following emerging trends: <\/p>\n