PhD

Biorobotics

Courses

Principles of BioRobotics

The course will present the objectives, the international context and the main research topics of the Biorobotics, with particular reference to the methodology adopted to carry out research projects in this area.
Teacher: Paolo Dario      
ECTS (European Credit Transfer System): 3

 

Human and Animal Models for BioRobotics

The course focuses on bioinspired robotics and biorobotic platforms for neuroscience and biology. The course provides the knowledge about the models of the human brain, of human intelligence, of muscle-skeletal systems, and of perceptual systems that are relevant in biorobotics. The students will learn principles of bioinspiration and biomimetics in robotics and the design methods and the technical tools for implementing such brain models and other animal models in robots. The students will have the opportunity to challenge themselves in their own design of robots inspired to functional mechanisms of human beings and other animals. Where appropriate, hands-on activities and student projects will be included in the course.
Teacher: Cecilia Laschi
ECTS: 3

 

Statistics and Data Analysis

This course is an introduction to key statistical ideas and principles concerning the collection, display and analysis of data needed to make inferences about real-world phenomena. In particular, the course will cover: methods of data collection and the construction of effective graphical and numerical displays to understand the data; how to estimate and describe the error in estimates of some important quantities; and how statistical tests can be used to separate significant differences from those that only reflect the natural variability in data.
Teacher: Angelo Maria Sabatini
ECTS: 4
 

 

Microrobotics for medical applications

The main objective of the course is providing students with design rules for microrobots for medical applications. The main scaling laws from the macro-domain to the miniature and micro/nano domains will be illustrated, together with the main components of micro-mechatronic machines.
Microrobot design, propulsion, powering, localization and control will be introduced by specific examples coming from the medical field. From “all inside solutions” to “triggerable solutions” for in-body therapy will be introduced.
Teacher: Arianna Menciassi
ECTS: 2

 

Creative Engineering Design

The course will address the process of design of the product by the engineer following the paradigm of "Design Thinking," which aims to integrate empathy, creativity and rationality. The sharing of work processes and assimilation of high skills are one of the key content and one of the experiences conducted in a number of case studies.
Teacher: Cesare Stefanini
ECTS: 2

 

Fundamentals of Neural Engineering

Neuroengineering is a novel discipline combining engineering including micro and nanotechnology, electrical and mechanical, and computer science with cellular, molecular, cognitive neuroscience with two main goals: (i) increase our basic knowledge of how the nervous system works; (ii) develop systems able to restore functions in people affected by different types of neural disability. In the past years, several breakthroughs have been reached by neuroengineers in particular on the development of neurotechnologies able to restore sensorimotor functions in disabled people. 
Content: Peripheral Neurprostheses; Brain-Machine Interfaces; Sensory Neuroprostheses; Neurorehabilitation.
Teacher: Silvestro Micera
ECTS: 4

 

Bioinspired soft robotics: fundamentals on fabrication and characterization technologies

This course aims introducing the main principles of bioinspired soft robotics and suppling PhD students with a basic knowledge on a bioinspired approach to design innovative soft robots, as well as fundamentals on fabrication, characterization, and manufacturing technologies. The course includes four modules: The first course module aims at introducing properties and features of smart nanostructured materials, envisioning application in biomedicine and biorobotics; the second course module aims at introducing a basic overview on biological, bioinspired and smart materials; the third module provides an introduction of design principles for biological inspired robotic systems and mechanisms; the last module gives an introduction of micro- and nano-manufacturing and characterization technologies available in the clean room and potentially useful for the fabrication of bioinspired soft robots.
Teachers: Barbara MazzolaiCarlo Filippeschi, Gianni Ciofani, Francesco Greco, Ali Sadeghi
ECTS: 3

 

Graphical programming for measurement, test, and control systems in wearable robotics

Students will learn how to develop a control system by means of the National Instrument software packages Labview core, Labview RT and Labview FPGA module. Experimental activities with a real robot will be carried out to mature experience with the use of DC motors and position/torque sensors.
Teacher: Nicola Vitiello
ECTS: 3

 

Graphical programming for measurement, test, and control systems in bioengineering

The course will provide technical and hands-on competences in the use of graphical programming tools for bioengineering applications. During the course the students will learn how to use the LabVIEW software, with selected topics from Core 1, Core 2, Real-time and FPGA modules. The hands-on activities will demonstrate how to use development boards for interfacing with electronic measurement instruments, for acquiring and processing data from sensors, or for controlling biorobotic systems. 
Teacher: Calogero Oddo
ECTS: 3

 

Human locomotion: biomechanics and data analysis

The objectives of this course are to provide an introduction to the biomechanics of the human movements and then to understand the main role underlying the control of spatial multiple degree-of-freedom human motion. These objectives will be reached by means of both theoretical lessons and practical activities in a lab of human movement analysis.
Teacher: Vito Monaco
ECTS: 2

 

Innovative actuation technologies

The course aims at providing an advanced knowledge on novel soft and smart materials for bionics. Different technologies will be analysed from the basic principles to their exploitation as smart sensors or actuators. The course will enable the student to implement a comparative analysis for the choice of the most suitable technologies for specific engineering problems. The second part of the course will also deal with the use Finite Element Analysis (theory and implementation with a commercial software) for designing new soft based systems. The students will be asked to use advanced design principles and tools as well as to carry out hands-on lab activities.
Teacher: Matteo Cianchetti
ECTS: 2

 

Elements of Internet of Things and Cloud Robotics

The aim of this course is to present the main advanced technologies and methodologies to build Ambient Assisted Living systems and services adequate to the end-users’ needs, adaptive to the environment and end-users’s behaviour, embedded not invasively in the environments, easily wearable by end-users, pro-active with Ambient Intelligence (AmI) capabilities and highly usable with advanced human machine interfaces. The main technological contents include wireless sensor network, wearable technology, service and cloud robotics. 
Teacher: Filippo Cavallo
ECTS: 4

 

Fundamentals of Biomedical Device Design

To develop in students enthusiasm for design and to provide the basis of sound design methodology, together with fundamental material selection, component design and analysis using state of the art tools.
Teacher: Marco Controzzi
ECTS: 2

 

Computer-Integrated image-based technologies for robotic surgery

The frontal lessons of the course, within the minimally invasive surgical robotic framework, will ground on specific topics such as the introduction and description of innovative computer-integrated technologies and control strategies for guided, targeted and focused therapy with particular attention to preoperative, intraoperative and postoperative image-based data acquisition, management and processing (e.g., from US, MRI, TAC, camera sources et cetera) for planning, adaptation and improvement of diagnostic and therapeutic actions. In the course, students will be exposed to a computer vision instrument, i.e., OpenCV library under C/C++ interface, for image data acquisition, management and processing (with real examples of software implementations) towards the implementation of computer-integrated image-based strategies for robotic surgery.
Teacher: Gastone Ciuti
ECTS: 2

 

Material microfabrication by soft lithography and characterization by SEM and AFM

This course aims at providing students with the key theoretical and practical knowledge related to the fabrication and characterization of materials at the micro-scale. Students will be trained to produce microstructures in clean room enviroment by using soft lithography procedures (based on photoresist spinning, UV exposure, chemical development and thermal baking). Then, they will also trained to perform a detailed morphological characterization of such structures, by scanning electron microscope (SEM) and atomic force microscope (AFM) imaging techniques.
Teacher: Leonardo Ricotti
ECTS: 1

 

Rehabilitation Robotics

The purposes of this course are: 1) to review basic neuroscience concepts and clinical evidence on the application of robotics in rehabilitation; 2) to analyse and critically discuss novel approaches to augment rehabilitation treatments outcomes; 3) to analyse the basic principles of patient-centered design of robotic and mechatronic systems for rehabilitation and 4) to develop a wide knowledge in the field of patient-robot interaction.
The course employs a highly interactive learning approach to offer participants the opportunity to discuss and analyse key scientific and technological aspects of rehabilitation robotics. Seminars focused on these challenging research topics will be offered as well.
Teacher: Stefano Mazzoleni
ECTS: 3

 

High Tech Business Venturing BASIC

This short course is designed to introduce all participants, mainly undergraduate and PhD students from different disciplines, but also young researchers and post-docs, to the basic knowledge and competences about high-tech entrepreneurship. More precisely, the course will provide participants with the basic understanding of the role, analytics, and process of business planning that lead to the successful creation of new high-tech business ventures within an academic environment. This means that they will learn about about patents, about university-industry collaborations, about contract research, about starting a new company, about marketing high-tech inventions, etc.
Teacher: Andrea Piccaluga
ECTS: 1