Openfund

CORDIS · TORNADO

foundaTion mOdels for Robots that haNdle smAll, soft and Deformable Objects

Код
TORNADO
Програма
HORIZON
Процедура
Novel paradigms and approaches, towards AI-powered robots– step change in functionality (AI, data and robotics partnership) (RIA) HORIZON-CL4-2024-DIGITAL-EMERGING-01-03
Статус
SIGNED
Период
01.01.2025 – 30.06.2028
Обща стойност (целият консорциум)7 449 095 €
Принос на ЕС (целият консорциум)7 449 095 €
Принос на ЕС за българските участници428 750 €

Официални данни · CORDIS · синхронизирано 18.10.2026 03:29 · официален запис

Участници

ОрганизацииРоляДържаваБезвъзмездна помощ
IOTAM INTERNET OF THINGS APPLICATIONS AND MULTI LAYER DEVELOPMENT LTDкоординаторCY801 562 €
FONDAZIONE ISTITUTO ITALIANO DI TECNOLOGIAучастникIT978 750 €
CHAROKOPEIO PANEPISTIMIOучастникEL905 625 €
UNIVERSITAT POLITECNICA DE CATALUNYAучастникES706 000 €
ZAPADOCESKA UNIVERZITA V PLZNIучастникCZ574 375 €
NETCOMPANY S.A.участникLU563 750 €
IDRYMA TECHNOLOGIAS KAI EREVNASучастникEL526 750 €
K3YучастникBG428 750 €
IRCCS SAN RAFFAELE ROMA SRLучастникIT418 750 €
ELLINIKO MESOGEIAKO PANEPISTIMIOучастникEL357 500 €
VRIJE UNIVERSITEIT BRUSSELучастникBE356 625 €
NSBPROJECT SRLучастникIT284 375 €
HANKAMP GEARS B.VучастникNL273 782 €
MCC BEST VALUE LTDучастникCY272 500 €
SAN RAFFAELE S.p.A.участникIT0 €

Описание

TORNADO will develop an innovative, multifunctional and adaptive cloud robotics platform, supporting advanced navigation of an autonomous mobile robot (AMR) within complex, time-varying, real-world, human-populated indoor environments. The TORNADO AMR will be able to manipulate small, soft or deformable objects (SSDs) to an unprecedented degree of success, as well as to naturally interact with humans via hand gestures or verbal conversation, by exploiting the zero-shot generalization abilities of deep neural Foundation Models (FMs) for robotics. The AMR's intelligence will rely on a pool of pretrained cloud-hosted FMs, which shall be further adjusted on-the-fly to the current situation via Out-of-Distribution Detection, Test-Time Adaptation and Few-Shot Adaptation subsystems. These will exploit human feedback if available, but will also support autonomous and dynamic cognitive adaptation. Additionally, the TORNADO system will be able to automatically select and set-up on-the-fly the most suitable combination of FMs and non-neural robotics algorithms during deployment, depending on the current situation. In cases of failure, on-the-fly skill acquisition will be supported via integrated, novel Learning-from-Demonstration methods facilitated by an innovative Augmented Reality (AR) interface and eXplainable AI (XAI) algorithms. The adaptive TORNADO system will allow the robot to perform difficult, non-repetitive manipulation tasks on previously unseen SSDs that may change shape during handling, as well as to flexibly adjust to SSDs of different sizes during operation. Measurement of human trust to interactive robots and human behavioral modeling will aid optimal integration/acceptance of TORNADO into society. Validation will take place at TRL-5 in 3 different industrial Use-Cases: flexible small gears manipulation and deformable ply-sheets handling (gears factory), palliative patient care (hospital) and product quality sampling/waste collection (dairy processing plant).

Официални данни · CORDIS · синхронизирано 18.10.2026 03:29 · официален запис · Лиценз: © European Union, CC BY 4.0 (Commission reuse policy).