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Hailed as the future gold mine of the digital economy, the Internet of Things encompasses billions of connected objects whose data is managed on networks. How can we meet the connectivity needs of all these connected objects? How can we develop an ecosystem of applications and services that turns innovation into tangible benefits in our daily lives? That is up for debate.

Machine learning for intuitive robots that are aware of their environment

• Researchers are working to improve the tactile sensitivity of robots to facilitate more intuitive human-machine interaction. It may soon be possible to instruct robots simply by touching them.
• Robots equipped with high-resolution sensors and controlled by a new algorithm can be guided like smartphones with simple tactile gestures.
• Another algorithm developed by the University of Hertfordshire enables robots to independently adapt to their environments and to make decisions without requiring specific training.
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Standard prpl operating system strengthens Livebox ecosystem

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An industrial maintenance solution combining AI, a 5G private network and IoT

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Soft Robotics Lab – ETH Zürich (lab head: Prof. Robert Katzschmann (not in the picture). From left to right: Jose Greminger (Master student), Pablo Paniagua (Master student), Jakob Schreiner (visiting PhD student), Aiste Balciunaite (PhD student), Miriam Filippi (Established researcher), and Asia Badolato (PhD student).

When will we see living robots? The challenges facing biohybrid robotics

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person wearing bioelectronic fibre arrays for dual-ECG signal acquisition / credit: Wenyu Wang and Yuan Shui

Bioelectronics: disease monitoring sensors that can be printed directly onto human skin

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Artificial pollination: robotic solutions that aim to supplement the work of bees

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Biomimetics: can robots outperform animals?

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