1st MAT4ROB Seminar

New materials and structures for actuation and control of robotic systems
22 gennaio 2020
22 January 2020
DII - Dipartimento di Ingegneria Industriale
via Sommarive, 9 - 38123 Povo, Trento
+39 0461 282500 - 2503
fax +39 0461 281977

Venue: Polo Fabio Ferrari 2, via Sommarive 9 (Trento) – aula B103
Hour: 13:30

MAT4ROB Project

In future, robots are expected to spread out in human society by operating autonomously in unstructured environment and in close interaction with human subjects. To achieve this goal a radical change in robot design methodologies is required. This means that future Advanced Robots must be robust, adaptable to new environments, ergonomic, energy efficient and intrinsically interaction-safe. The simultaneous achievement of such diverse requirements is extremely challenging and can not be met by merely integrating existing design solutions. An integrated design process is needed that takes into account all the different design aspects including the structural components, employed materials and control algorithms.  

In this field, a multidisciplinary group of the Department of Industrial Engineering has started the research project New materials and structures for actuation and control of robotic systems (MAT4ROB). In this project, new materials, fabrication methodologies, smart structures and integrated control-design systems are studied to develop a new generation of robots. Different application fields are targeted including wearable robotics, advanced industrial robots and legged bio-inspired robots.

In this context, this seminar will illustrate the most recent results obtained by the PhD students that are actively contributing to the project.   


- Introduction (M. Fontana) 

- Short 8-min presentations:

  • Liquid based electroactive polymers (I.D. Sirbu, PhD Student) 
  • Elastomeric rolling diaphragms for advanced robotic systems  (M. Bolignari, PhD Student) 
  • Spine-exos for rehabilitation and therapy (A.Ali, PhD Student)
  • Hybrid actuation systems a co-design approach (G. Grandesso , PhD Student)

- Discussion and conclusions

application/pdf1st MAT4ROB Seminar(PDF | 216 KB)