MODULO I

Course objectives

General objectives Introduction to the basic robotic technologies in the medical context, with particular emphasis on surgical robotics. Expected learning results: Knowledge of the main robotic surgical systems, of the challenges and methodologies of medical robot design and control. Specific objectives Knowledge and understanding The student will learn: to critically read articles that describe the main technologies involved in medical robotics; to discuss in detail the state of the art of robotic applications in medicine; how to approach the design of robot-assisted medical systems; robot modeling and control methodologies needed in the development of medical robotic systems. Apply knowledge and understanding The student will be able to approach the design of new robotic technologies for medical applications. In particular, he/she will be able to develop kinematic model of medical robots, to design functional and control architecture for medical procedures supported by robots. Critical and judgment skills The student will be able to estimate the potential benefits deriving from the introduction of robotic support in a medical procedure and to evaluate the clinical, legal, social and economic constraints in the implementation of robotic technology in a medical sector. Communication skills: The student will learn to communicate and collaborate with people of different backgrounds for the definition of objectives and constraints in the project of medical robots based on clinical needs. Learning ability The student will be able to independently learn new concepts useful for the design and development of new technologies for medical applications.

Channel 1
MARILENA VENDITTELLI Lecturers' profile

Program - Frequency - Exams

Course program
Kinematics of manipulators: representations of rigid body orientation; direct and inverse kinematics of robot manipulators; differential kinematics: analytic and geometric Jacobians. Statics: transformations of forces. Control: control system architectures; kinematic control laws (in joint or in task/Cartesian space); independent joint axis control.
Prerequisites
Good knowledge of basic rigid body kinematics and dynamics and control of linear dynamic systems.
Books
B. Siciliano, L. Sciavicco, L. Villani, G. Oriolo "Robotics: Modelling, Planning and Control", 3rd Edition, Springer, 2009
Teaching mode
Traditional lectures illustrate the methodological bases of the course topics. The application of the methodologies is illustrated through case studies and the nalysis of systems in use in clinical practice. Multiple choice tests are periodically proposed in the Sapienza e-learning environment for a quick check of the acquired knowledge.
Frequency
Not mandatory.
Exam mode
Students are required to complete two homeworks during the course to have access to projects assignments. The alternative exam modality consists in a written part and an oral discussion.
Lesson mode
Traditional lectures illustrate the methodological bases of the course topics. The application of the methodologies is illustrated through case studies and the nalysis of systems in use in clinical practice. Multiple choice tests are periodically proposed in the Sapienza e-learning environment for a quick check of the acquired knowledge.
MARILENA VENDITTELLI Lecturers' profile

Program - Frequency - Exams

Course program
Kinematics of manipulators: representations of rigid body orientation; direct and inverse kinematics of robot manipulators; differential kinematics: analytic and geometric Jacobians. Statics: transformations of forces. Control: control system architectures; kinematic control laws (in joint or in task/Cartesian space); independent joint axis control.
Prerequisites
Good knowledge of basic rigid body kinematics and dynamics and control of linear dynamic systems.
Books
B. Siciliano, L. Sciavicco, L. Villani, G. Oriolo "Robotics: Modelling, Planning and Control", 3rd Edition, Springer, 2009
Teaching mode
Traditional lectures illustrate the methodological bases of the course topics. The application of the methodologies is illustrated through case studies and the nalysis of systems in use in clinical practice. Multiple choice tests are periodically proposed in the Sapienza e-learning environment for a quick check of the acquired knowledge.
Frequency
Not mandatory.
Exam mode
Students are required to complete two homeworks during the course to have access to projects assignments. The alternative exam modality consists in a written part and an oral discussion.
Lesson mode
Traditional lectures illustrate the methodological bases of the course topics. The application of the methodologies is illustrated through case studies and the nalysis of systems in use in clinical practice. Multiple choice tests are periodically proposed in the Sapienza e-learning environment for a quick check of the acquired knowledge.
  • Academic year2025/2026
  • CourseBiomedical Engineering
  • CurriculumBiomedica
  • Year1st year
  • Semester2nd semester
  • SSDING-INF/04
  • CFU3