Giulia Bodo

Dr. Giulia Bodo

orcid

Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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29 February 2024 in Applied Sciences
Verified
Journal Article
Open access
PDF file
GBGiulia Bodo
Giulia Bodo
FTFEDERICO TESSARI
FEDERICO TESSARI
SBStefano Buccelli
Stefano Buccelli
Matteo LaffranchiMatteo Laffranchi
Matteo Laffranchi
In the last decade, robotic-mediated rehabilitation has emerged as a potential solution to improve repetitive task training. Each device in this field has a unique development history shaped by engineers’ expertise in specific programming languages or platforms. In this work we adopt an approach that tries to abstract from the final implementation with the aim to make control logic more shareable and understandable. The authors will present the outcomes of the application of a Rapid Control Prototyping strategy to an upper-limb robotic exoskeleton. A model-based design approach implemented on a real-time target machine is presented. This modern design approach was explored with several control strategies and was used to test the exoskeleton’s performances. The proposed method highlights how it is possible to develop the entire control architecture in a single programming environment.

13 February 2024 in Preprints.org
Verified
Preprint
Open access
PDF file
GBGiulia Bodo
Giulia Bodo
FTFEDERICO TESSARI
FEDERICO TESSARI
SBStefano Buccelli
Stefano Buccelli
Matteo LaffranchiMatteo Laffranchi
Matteo Laffranchi
In the last decade, robotic-mediated rehabilitation has emerged as a potential solution to improve repetitive task training. Each device in this field has a unique development history shaped by engineers’ expertise in specific programming languages or platforms. In this work we adopt an approach that tries to abstract from the final implementation with the aim to make control logic more shareable and understandable. The authors will present the outcomes of the application of a Rapid Control Prototyping strategy to an upper-limb robotic exoskeleton. A model-based design approach implemented on a real-time target machine is presented. This modern design approach was explored with several control strategies and was used to test the exoskeleton’s performances. The proposed method highlights how it is possible to develop the entire control architecture in a single programming environment.