Manipulation and Manufacturing Focus Area

The Manipulation and Manufacturing focus area in the Ph.D. in Robotics Technology program is an excellent choice for graduate students interested in advancing the field of industrial robotics and smart manufacturing. This concentration offers a comprehensive blend of theoretical knowledge and practical applications in cutting-edge robotics technologies.

Key aspects covered in this focus area include:

  • Digital Image Processing: Advanced techniques for image enhancement, analysis, and segmentation, crucial for computer vision in robotics
  • Industrial Robotics: Design, analysis, and operation of robotic systems, including system components, control languages, and application planning
  • Computer Integrated Manufacturing (CIM): Development of fully integrated systems for business operations, emphasizing technology, systems, and human resources integration
  • Intelligent Human-Robot Systems: Exploration of robot cognition, machine learning, machine vision, and human-robot interaction in unstructured manufacturing environments
  • Smart Manufacturing: Core foundations of digital transformation in manufacturing, focusing on digitalization, smart technologies, and connectivity
  • Robot Operating System (ROS): Programming and development of complex robotic systems using open-source platforms, including simulation, visualization, and advanced robotics tools

This focus area is an excellent fit for several reasons:

  • It provides a holistic understanding of robotics in manufacturing, from basic automation to fully integrated systems
  • Students gain hands-on experience with cutting-edge technologies and methodologies used in industry and research
  • The curriculum emphasizes practical applications and problem-solving in real-world manufacturing scenarios
  • There's a strong focus on developing publishable research, preparing students for academic careers or advanced industry positions
  • Graduates will be well-equipped to address critical challenges in manufacturing, such as improving productivity and implementing smart technologies

See Focus Area Courses