
EMERGE project
@EIC_EMERGE
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EMERGE envisions collaborative #robots capable of adapting to the unstructured conditions found in the real world | @HorizonEU @EUeic
DE, FR, IT, NL, UK
Joined October 2022
Check out the new video! EMERGE’s collaborative awareness will allow robotic systems to adapt to the unstructured conditions found in the real world, decreasing deployment and maintenance costs. Learn more in the video below!. @HorizonEU @EU_EISMEA
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EMERGE partners from @tudelft introduce BerryTwist, a prototype robotic gripper specifically designed for blackberry harvesting. Read the paper:
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In this work, EMERGE partners from @Unipisa gather valuable contributions and early findings in the field of Informed ML for Complex Data. Read the paper:
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In this work, EMERGE partners from the @Unipisa investigate neural models based on graph random features for classification tasks. Read the paper:
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In this work, EMERGE partners from the @Unipisa develop MultiSTOP, a Reinforcement Learning framework for solving functional equations in physics. Read the paper:
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Last month, EMERGE partner @CosimoDella from @tudelft was a keynote speaker at the prestigious ICRA 2025 conference. Watch his presentation “Moving Without Thinking: Embodied Intelligence in Locomotion”:
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EMERGE partners from the @Unipisa investigate the characteristics of the Continual Pre-Training scenario, where a model is continually pre-trained on a stream of incoming data and only later fine-tuned to different downstream tasks. Read the paper:
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