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1 Contributo su Rivista 11389
- 1.1 Articolo su Rivista/Article 10241
- 1.2 Recensione 269
- 1.3 Scheda bibliografica 14
- 1.4 Nota a sentenza 288
- 1.5 Abstract 558
- 1.6 Traduzione Rivista 19

2 Contributo in Volume 3508

2 Contributo in Volume 0

3 Libro(Monografia)/Book 427
- 3.1 Monografia,trattato scientifico 407
- 3.2 Concordanza 0
- 3.3 Indice 0
- 3.4 Bibliografia 1
- 3.5 Edizione critica 0
- 3.6 Pubblicazione fonti inedite 1
- 3.7 Commento scientifico 1
- 3.8 Traduzione Libro 17

4 Contributo in Atti Convegno (Proceeding) 4996
- 4.1 Contributo Atti Congressi/Articoli in extenso 4476
- 4.2 Abstract 454
- 4.3 Poster 66

5 Brevetto/Patent 312
- 5.1 Brevetto 312

6 Curatela/Editing e Traduzioni 563
- 6.1 Curatela/Editing 563
- a.2. Traduzione (da eliminare) 0

7 Altro 929
- 7.01 Composizione 4
- 7.02 Disegno 0
- 7.03 Design 0
- 7.04 Performance 0
- 7.05 Esposizione 3
- 7.06 Mostra 1
- 7.07 Manufatto 0
- 7.08 Prototipo d'arte,relativi progetti 0
- 7.09 Cartografia 0
- 7.10 Banca dati 8
- 7.11 Software 2
- 7.12 Altro/Miscellaneous 911

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Soft robotics in wearable and implantable medical applications: Translational challenges and future outlooks

Lifeforms potentially useful for automated underwater monitoring systems

Biohybrids combine artificial robotic elements with living organisms. These novel technologies allow for obtaining useful data on the environment by implementing organisms as “living sensors”. Natural water resources are under serious ecological threat and there is always a need for new, more efficient methods for aquatic monitoring. Project Robocoenosis introduces the use of biohybrid entities as low-cost and long-term environmental monitoring devices. This will be done by combining lifeform...

A Deep-Learning-Based Detection Approach for the Identification of Insect Species of Economic Importance

Restoring arm function with a soft robotic wearable for individuals with amyotrophic lateral sclerosis

Comparison of different error signals driving the adaptation in assist-as-needed controllers for neurorehabilitation with an upper-limb robotic exoskeleton

Assist-as-needed control aims at maximizing stroke survivors involvement during robotic-led therapies of neurorehabilitation. Besides the specific characteristics of the designed adaptive control strategy, a fundamental property of this control architecture is the choice of the error signal which will drive the adaptation process. This driving source is a necessary control parameter to be chosen, although often sidelined in the control design, and several solutions already exist in the state-...

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SIARI SSSUP: [22124] Home page macrotipologia

Prodotti recenti

Soft robotics in wearable and implantable medical applications: Translational challenges and future outlooks

Lifeforms potentially useful for automated underwater monitoring systems

A Deep-Learning-Based Detection Approach for the Identification of Insect Species of Economic Importance

Restoring arm function with a soft robotic wearable for individuals with amyotrophic lateral sclerosis

Comparison of different error signals driving the adaptation in assist-as-needed controllers for neurorehabilitation with an upper-limb robotic exoskeleton

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