The ULTIMATE WORKSHOP UC SYNTHETIC DATASET V1 dataset is composed of 24 files (12 ROS1-Noetic and 12 ROS2-Humble recordings), each one containing a scene reproducing a hybrid
The ULTIMATE WORKSHOP UC SYNTHETIC DATASET V1 dataset is composed of 24 files (12 ROS1-Noetic and 12 ROS2-Humble recordings), each one containing a scene reproducing a hybrid
RoHuCAD is a dataset of human-robot collaboration in a robotic workshop (check workshop_layout.png). Two robots (collaborative manipulator – cobot, autonomous mobile robot – AMR) assist three
tf2-bfgs is a wrapper to train a tf.Module or tf.keras.Model using (L-)BFGS optimizer from Tensorflow Probability. MIT License Copyright (c) 2024 Matthieu Barreau github repository
scio: confidence scores for Neural Networks, made easy! If you are an ML engineer, research scientist or amateur programmer, this Python library is meant for
The ULTIMATE INDUSTRIAL UC SYNTHETIC DATASET V1 is composed of 15 folders, each one containing a picture frame reproducing a hybrid environment populated by1 RGBD
Deliverable D5.3 elaborates on the end to end Trustworthiness including ethics. Methodology, implementation, and evaluation results . To be published
Deliverable 6.5 summarizes the main ULTIMATE technical contributions till the half of the project whilegathering the UC owners and ULTIMATE Advisory Board feedback (from the
Deliverable D7.1 elaborates on the ethical requirements imposed by the EU Commission on theULTIMATE project as part of the Grant Agreement 101070162: “The ethics advisor
The D6.2 deliverable aims at describing how the ULTIMATE website together with the social media networks will allow to reach a widepanel of people and
The ULTIMATE project on Trustworthy Hybrid Artifi cial Intelligence (AI) aimed to design, developand evaluate industrial-grade hybrid AI models that address the validity, explainability and
What are are the insights on the 3 promising results and 3 future innovation challenges chosen by Trustworthy AI Cluster partners? Our 6th newsletter presents the
Trustworthy Hybrid-AI for flexible manipulation and navigation Autonomous navigation of AMR (Autonomous Mobile Robots) and manipulation of robotic arms are advanced technologies that independently face
Thales Alenia Space delivers cost-effective solutions for telecommunications, navigation, Earth observation, environmental management, exploration, science and orbital infrastructures. Governments and private industry alike count on Thales Alenia Space to design
Robotnik designs, manufactures and markets autonomous mobile robots and manipulators, capable of working autonomously in collaborative environments, sharing space with humans. Its activity in the service robotics
Łukasiewicz – PIAP provides Polish entities and foreign partners with the latest technologies in robotics, automation, measurement techniques and 3D printing, as well as Space
The European community has launched a call for tenders dedicated to Trustworthy Artificial Intelligence (AI). Among the handful of projects selected is the one launched
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