Dottorato di Ricerca

Corso di: BIOINGEGNERIA E ROBOTICA – BIOENGINEERING AND ROBOTICS In convenzione con Istituto Italiano di Tecnologia (IIT)

Anno Accademico 2020/2021

Dipartimento di Informatica, Bioingegneria, Robotica e Ingegneria dei Sistemi

Università di Genova

Livello EQF: 8

36° ciclo

Settore: ingegneria industriale e dell'informazione informatica e tecnologie ict

Sede del corso
genova (GE), italia

Lingue in cui è tenuto il corso
Italiano, Inglese

CFU rilasciati
180

Costo totale
528

Durata del corso
nov 2020 - ott 2023

Borse di studio
37

Scadenza (Scaduto)
15 giugno 2020

Contenuti

Curriculum - ADVANCED AND HUMANOID ROBOTICS:
1. Online visual perception for service robots
2. Mobile manipulation for service robots in dynamic environment
3. Affordance based visually guided object manipulation
4. Enhanced Reproducibility of Robot Manipulation - Sim-to-Real Learning in Agri-Food Robotics
5. Snake Robot Arm for Inspection and Maintenance
6. Robot-Assisted Catheterization Systems
7. Robotic Microsurgery
8. Sensing and Automation in Robotic Surgery
9. Telesurgery
10. Optimization based Operational-space Control of High-Performance Robots
11. Mixed Reality Interfaces for Robotics (2 positions)
12. Bio-inspired design and Smart Control of a Lower Limb Soft Exoskeleton
13. AI (Deep Learning) Systems for Medical Image Analysis and Diagnosis
14. Skippy: A Highly Athletic Monopedal Robot
15. Reconfigurable robotic systems for manipulation of Deformable Materials
16. Design and Development of Non-Rigid Lightweight Dexterous Robot Manipulator
17. Development of reconfigurable multi-finger system for in-Hand Manipulation
18. Development of a robot agnostic interaction control framework
19. Distributed AI in sensor networks and robotic platforms
20. Computer Vision for Legged Robots
21. Machine Learning for Quadruped Motion Generation
22. Optimization-based planning for Legged Robots

La descrizione dettagliata dei temi di ricerca e’ disponibile al link:
http://phd.dibris.unige.it/biorob/index.php/how-to-apply
https://www.iit.it/it/phd-school

Curriculum - BIOENGINEERING
1. Unobtrusive wearable sensors for advanced biomedical applications
2. Decoding the neurophysiology of locomotor control in Parkinson’s disease
3. The recovery of motor skills through enhancement and reorganization of sensori-motor information
4. Visual perception and interaction in virtual and augmented reality environments
5. PET and ASL imaging techniques in epileptic pediatric patients
6. Nano-neuro interfaces for brain-on-a-chip studies
7. Design and realization of an inkjet printed Micro Electrode Array for neurophysiological applications
8. Recreating in vitro interconnected brain regions coupled to Multi-Electrode Arrays: towards a brain-on-a-chip
9. New tools to decode the mechanisms underlying corticomuscular coherence
10. Injectable hydrogels for neuroengineering
11. Mechanobiology of arrhythmia
12. Perceptual and motor issues in the development of interactive intelligence
13. Dynamic Tumor Modeling
14. Critical dynamics in the human brain
15. Electrophysiological Correlates of Neurorehabilitation

La descrizione dettagliata dei temi di ricerca e’ disponibile al link:
http://phd.dibris.unige.it/biorob/index.php/how-to-apply

Curriculum - BIONANOTECHNOLOGY:
1. Self-growing natural composite materials based on fungal mycelium of project
2. Biocomposites from vegetables residues
3. Sustainable Food Packaging
4. Multifunctional porous materials for advanced water treatment
5. Flexible and sustainable electronics
6. Neuro-Dynamics: a multifunctional approach to study brain dynamic, functioning, and disease.
7. Protein ID: next generation sequencing and identification of human proteins.
8. Advanced Light Microscopy for Life Sciences

La descrizione dettagliata dei temi di ricerca e’ disponibile al link:
http://phd.dibris.unige.it/biorob/index.php/how-to-apply
https://www.iit.it/it/phd-school

Curriculum - COGNITIVE ROBOTICS, INTERACTION AND REHABILITATION TECHNOLOGIES:
1. Autonomous learning in human-robot interaction: towards transparent robot symbiosis in skill acquisition
2. The role of social signals in human-robot interaction in group
3. Cortical networks for affective communication in human robot interaction
4. Altered Reality for Rehabilitation and Training of Low-Vision Individuals
5. Cortical mechanisms of spatial representation in children with and without visual impairment
6. Cross-Sensory perception and deprivation - Marie Sklodowska-Curie Fellow

La descrizione dettagliata dei temi di ricerca e’ disponibile al link:
http://phd.dibris.unige.it/biorob/index.php/how-to-apply
https://www.iit.it/it/phd-school

Curriculum - ROBOTICS AND AUTONOMOUS SYSTEMS:
1. Sensor-based control of robots for human-robot cooperative operations
2. Robot skin for contact processing and robot control
3. Tactile sensors for robot hands
4. Design of a multi-modal robot skin
5. Machine learning models for robot tactile sensing and perception
6. Robot manipulation of soft and flexible objects
7. Trust in human-robot interaction: perception, planning, and action
8. Natural, engaging and culture-aware verbal and non-verbal Interaction between robots and humans
9. Hybrid deliberative/reactive robot architectures for human robot collaboration employing Augmented Reality techniques and wearable sensors.
10. Outlier robust state estimation methods for robotics and autonomous systems
11. Machine learning methods for active identification
12. Advanced robot manipulation skills acquired via human demonstrations
13. Gesture-based human-robot interaction
14. Human-robot interaction techniques mediated by speech-enabled holographic avatars
15. Goal-based cooperation and reasoning models for heterogeneous robot swarms made-up of terrestrial and aerial robots
16. Hybrid neuro-symbolic approaches to Artificial Intelligence techniques for robots and intelligent environments
17. Low-power and low-cost solutions for object tracking in resource limited and constrained scenarios

La descrizione dettagliata dei temi di ricerca e’ disponibili sul sito web del dottorato: http://phd.dibris.unige.it/biorob/index.php/how-to-apply

Curriculum - MARINE TECHNOLOGIES
1. Marine robotics team for area exploration and monitoring
2. Modelling and control of hybrid cable-thruster actuated ROVs
3. Obstacle detection, tracking and avoidance in maritime environments

La descrizione dettagliata dei temi di ricerca è disponibile al link:
http://phd.dibris.unige.it/biorob/index.php/how-to-apply

Pagina del corso sul sito dell'ateneo

Didattica

Sede del corso

genova (GE), italia

Durata del corso

nov 2020 - ott 2023

CFU rilasciati

180

Modalità di frequenza

Tempo pieno

Lingue in cui è tenuto il corso

Italiano, Inglese

Requisiti di accesso

Titolo di studio

Laurea magistrale, specialistica o corso pre riforma

Settore di Laurea

informatica e tecnologie ict, ingegneria industriale e dell'informazione

Conoscenze Linguistiche

Inglese

Altri requisiti

Titolo di studio conseguito all’estero e riconosciuto idoneo.

Ammissione

Scadenza

15 giugno 2020

Posti disponibili

Ammissione

Prevista prova di ammissione

Costo totale

528 €

Borse di studio

- 37 borse, importo annuale € 16.500,00.

Statistiche AlmaLaurea

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Dati sul corso di studi

Note

Sede del corso: Genova

Altre edizioni dello stesso corso

Edizione dell'anno accademico 2024/2025Edizione dell'anno accademico 2023/2024Edizione dell'anno accademico 2022/2023

Chiudi