Elective in Robotics Single channel
Chair (Coordinator) and Rapporteur: MARILENA VENDITTELLI
Module 1: Elective in Robotics I
- Activity type
- Ingegneria informatica
- SSD
- ING-INF/04
- Year
- 2nd year
- Semester
- 2nd semester
- CFU
- 6
- Hours distribution
- 36 classroom hours, 24 training hours
- Lecturers
- ANTONIO FRANCHI
Objectives
General objectives
The course presents a selection of advanced topics in Robotics and is intended as an introduction to research.
Guided through case studies taken from the research activities of the teachers, the student will be able to fully develop a problem in Robotics, from its analysis to the proposal of solution methods and their implementation.
Specific objectives
Knowledge and understanding:
Students will learn some advanced control techniques used in some robotic research areas where the lecturers are active.
Apply knowledge and understanding:
Students will be able to use and design complex control systems for advanced robotic problems.
Critical and judgment skills:
Students will be able to evaluate some methodologies used in the difference robotic applied illustrated areas.
Communication skills:
The course activities will allow students to be able to communicate and share the different solutions, adopted in a research framework, for the different illustrated robotic areas.
Learning ability:
The course development aims at giving the student the capacity to design complex control systems for advanced robotic systems.
Learning outcomes
The course, run in seminar form, presents advanced Robotics topics through examples drawn from the lecturers' research activities and is conceived as an introduction to research work. On completion of the integrated course, students will be able to fully address an advanced robotics problem, from its analysis to the proposal of solution methods and their implementation.
Knowledge and understanding. On completion of the course, students will know and be able to describe advanced control techniques employed in the robotics areas in which the lecturers carry out research, understanding their theoretical foundations, fields of application and limitations.
Applying knowledge and understanding. Students will be able to analyse advanced control problems in robotics and to design, implement and test complex control systems, demonstrating their effectiveness through simulations or experimental validation.
Making judgements. Students will be able to critically evaluate and compare the methodologies presented in the various robotics application areas, selecting the most suitable approach for a given problem and justifying their choice with respect to requirements and constraints.
Communication skills. Students will be able to present and discuss problems, methods and results, orally and in writing, using appropriate technical vocabulary, and to share possible solutions in a research context (seminar presentations, technical reports).
Learning skills. Students will be able to independently consult the scientific literature in the field and update their competences, so as to autonomously pursue the study of advanced topics and undertake subsequent research activities (Master's thesis, doctoral studies).
Prerequisites
A general background in robotics (kinematics, dynamics, planning, control) is desirable but not mandatory.
Programme
Module: Elective in Robotics I
The course is organized in 4 modules of 3 credits. Each module has its own specific program available at the beginning of the lesson cycle.
A detailed updated description of the programs is available at the page: http://www.diag.uniroma1.it/vendittelli/EIR/
Books
Module: Elective in Robotics I
Teaching material distributed by the lecturers.
Bibliography
Module: Elective in Robotics I
N/D
Lessons mode
Lectures introducing the methodologies used in the application areas covered by the different modules of the course. Analysis of case studies and examples of applications to real-world systems. Laboratory sessions with hands-on exercises.
Frequency
Attendance is generally not compulsory; however, instructors of individual modules may require mandatory attendance.
Exam mode
Oral presentation of group projects or individual analysis of a scientific paper.
Example exam questions
Not applicable, given the assessment format (either a project or a presentation of a scientific paper). The individual module webpages may provide examples of projects from previous years or lists of scientific papers that students can choose from for their presentation.
Arguments
Module: Elective in Robotics I
Sustainability goals
- Academic year2026/2027
- Degree program to which the course belongsArtificial Intelligence and Robotics
- Mandatory presenceNo
- Languageeng
- CFU12 CFU, distributed among 1 integrated didactic modules
- Total duration120 hours