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Industrial Robotics

Code 18170
Year 2
Semester S1
ECTS Credits 6
Workload PL(15H)/T(30H)/TP(15H)
Scientific area Electromechanics
Entry requirements N.A.
Learning outcomes Aims to provide students with a comprehensive understanding of industrial robotic systems, emphasizing their modeling, programming, and integration into production environments. The specific objectives include: -Understand the Fundamentals of Industrial Robotics (physical configurations of robots, including anatomy, actuators, and sensors) -Apply Modeling Methods: Solve problems related to the kinematics, dynamics, planning, and control of manipulator and mobile robots -Acquire skills in programming industrial robots using specific languages and tools -Understand and apply the integration of sensors and actuation systems in both industrial and mobile robots -Enable Students to Design, Program, and Test Robots: Utilize computational simulations and real systems -Explore Emerging Technologies in Robotics (collaborative robots, computer vision systems, and artificial intelligence) -Promote Teamwork and Problem-Solving Skills developing capabilities to address complex problems
Syllabus Introduction to Industrial Robotics: history, evolution, and applications. Robot Anatomy: types of joints, actuators, and sensors. Direct and Inverse Kinematics: formulation and resolution methods. Velocity Kinematics: Jacobian. Dynamics of Manipulators: motion equations and control. Motion and Path Planning. Industrial Robot Programming: specific languages and tools. Emerging Technologies: collaborative robots, computer vision, and artificial intelligence. Special Topics in Robotics.
Main Bibliography -Gaspar, P.D. (2018). Caderno Teórico de Robótica Industrial - Diapositivos de acompanhamento e apoio às aulas”, 3ª Edição de autor, Departamento de Engenharia Electromecânica, Universidade da Beira Interior, Covilhã, 247 páginas. -Pires, J.N. (2018). Robótica Industrial. Indústria 4.0, Lidel. -Spong, M.W., Hutchinson, S., Vidyasagar, M. (2020). Robot Modeling and Control. Wiley. -Keramas, J.G. (1999). Robot Technology Fundamentals. Delmar Learning. -Sciavicco, L., & Siciliano, B. (2000). Modeling and Control of Robot Manipulators. Springer Verlag. -Siciliano, B., Sciavicco, L., Villani, L., & Oriolo, G. (2008). Robotics: Modelling, Planning and Control. Springer. -Siegwart, R., & Nourbakhsh, I. R. (2004). Introduction to Autonomous Mobile Robots. The MIT Press.
Teaching Methodologies and Assessment Criteria Assessment criteria: TAS – Analysis and synthesis of bibliographic research (15%) Ex – Exercises (15%) LAB – Laboratory (20%) PRO – Project (30%) PR – Evaluation test (20%) Final Grade Calculation: CF = TAS + Ex + LAB + PRO + PR Attendance and eligibility for the course during the teaching/learning period require a final grade (CF) of 9.5 or higher, considering the following conditions: All components listed in the assessment criteria must be completed. Minimum grade in the evaluation test: PRmin ? 6. Minimum grade in the laboratory component: LABmin ? 10. Improving the grade obtained in continuous assessment requires taking the final exam. The final grade is determined using the same calculation formula, considering the grades obtained in the different assessment components.
Language Portuguese. Tutorial support is available in English.
Last updated on: 2026-02-09

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