In the era of modern technology, where the pace of innovation is accelerating, the field of engineering design is undergoing a radical transformation thanks to advanced technologies such as robotics and artificial intelligence. The integration of robotics and artificial intelligence in engineering design is a strategic move that redefines how design is thought about, provides more accurate and effective solutions, and enhances innovation capabilities.

Robots, which were previously used mainly in manufacturing and production, have evolved into essential tools in the field of design thanks to their ability to perform tasks with high precision and repeat repetitive processes without error. Robots enable engineers to achieve new levels of efficiency and quality in design, and contribute to accelerating production processes and reducing costs, which opens up new design possibilities that were not possible before.

In addition, artificial intelligence (AI) is one of the main drivers of innovation in engineering design. By analyzing massive amounts of data and providing accurate insights, AI enables engineers to make informed design decisions, discover hidden patterns, and improve performance.

Who Should Attend?

• Industrial design engineers who seek to apply robotics and AI technologies to improve design and innovation solutions.
• Mechanical and electrical engineers who are interested in using robotics to improve manufacturing and product assembly processes.
• AI researchers who seek to apply their AI expertise to improve engineering design processes.
• Robotics researchers who are interested in understanding how robotics and AI technologies can be integrated into engineering contexts.
• Production managers who seek to apply AI to improve resource management and production data analysis.
• Software engineers who work on developing software that supports the use of robotics and AI in design and engineering, and how AI and robotics technologies can be integrated into engineering software.

Knowledge and Benefits:

After completing the program, participants will be able to master the following:

• Principles of robotics and basic AI techniques, including machine learning, deep learning, and neural networks.
• Using AI in generative design to generate new design options based on specific criteria.
• Using AI tools to analyze and improve engineering performance based on design data.
• The different types of robots used in design and engineering, and how they integrate with design systems.
• Using robots to automate design, manufacturing, and assembly processes to improve efficiency and production quality.
• Using robotics and AI to provide new and innovative design solutions to complex engineering problems.
• Using AI and robotics to improve production and manufacturing processes by reducing errors and increasing speed.
• Technical challenges associated with the integration of robotics and AI in engineering design and how to address them.
• Ethical issues associated with the use of these technologies in design, such as safety, privacy, and their impact on the workforce.

• Introduction to Robotics and Artificial Intelligence
  • Defining the types of robots, basic robotics components, and their applications in industry.
  • Artificial intelligence, machine learning, deep learning, and neural networks.
  • Integrating robotics with artificial intelligence in engineering design applications.
• Applications of robotics in engineering design
  • Using robots to improve generative design methods and create new design models.
  • How to use robots in manufacturing and assembly processes to improve efficiency and quality.
  • Strategies for using robots to achieve extreme accuracy in the design and manufacture of complex parts.
• Applications of artificial intelligence in engineering design
  • Using artificial intelligence to analyze big data and extract valuable insights to improve design.
  • Applying artificial intelligence to improve design performance using techniques such as generative design optimization.
  • Using predictive models to predict design performance under different conditions.
• Integrating robots with artificial intelligence
  • Integrating robots supported by artificial intelligence in engineering design environments.
  • Developing integrated systems that use artificial intelligence to control robots and coordinate their activities.
  • Reviewing real-world applications for integrating robots with artificial intelligence in engineering design.
• Programming tools and techniques
  • Programming languages ​​used in robot programming and developing robotic applications.
  • The basic algorithms used in artificial intelligence and how to apply them in engineering design.
  • Using programming tools to develop innovative solutions that integrate robotics and artificial intelligence.
• Project management and performance evaluation
  • Using artificial intelligence and robotics techniques to improve project planning and management.
  • Developing performance evaluation criteria for design systems supported by artificial intelligence and robotics.
  • Using artificial intelligence to analyze project outcomes and provide recommendations for improving performance.
• Technical and ethical challenges
  • Technical issues that may be encountered when integrating robotics and artificial intelligence into engineering design and how to address them.
  • Discussing ethical issues associated with the use of robotics and artificial intelligence in design, such as privacy and security.