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Titlebook: ROBOT2022: Fifth Iberian Robotics Conference; Advances in Robotics Danilo Tardioli,Vicente Matellán,Lino Marques Conference proceedings 202

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Context Attention: Human Motion Prediction Using Context Information and Deep Learning Attention Modskeleton data together with contextual data from the operation. This contextual data consists on the position of the robot’s End Effector (REE). The model input is a sequence of 5 s skeleton position and it outputs the predicted 2.5 future seconds position. We provide results of the human upper body
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Safety Standards for Collision Avoidance Systems in Agricultural Robots - A Review between humans and robots presents some challenges to ensure a certifiable safe collaboration between human-robot, a reliable system that does not damage goods and plants, in a context where the environment is mostly dynamic, due to the constant environment changes. A well-known solution to this pr
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On the Innovative Management of Remote Robotic Experimentationvironments. The aim of this work is to create a federation of different network testbeds that work together to make their resources available under a common framework. We introduce a consolidated architecture, based on a multi-tier design pattern, paying special attention on the resource management
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In-Hand Manipulation of Unseen Objects Through 3D Visiont its performance in ordinary manipulation tasks after the grasp of an object. High state-space dimensionality inherent to dexterous fully actuated multi-finger manipulators poses control difficulties that may be unnecessary in some typical activities, which creates a window of opportunity for under
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Event-Based Visual Tracking in Dynamic Environmentsg images with motion blur. Event cameras are novel sensors suited to robustly perform vision tasks under these conditions. However, due to the nature of their output, applying them to object detection and tracking is non-trivial. In this work, we propose a framework to take advantage of both event c
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