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Titlebook: Human-Friendly Robotics 2020; 13th International W Matteo Saveriano,Erwan Renaudo,Justus Piater Conference proceedings 2021 The Editor(s) (

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Vorlesungen über höhere Mathematikrimental results, involving four healthy subjects, show the efficacy of the proposed approach and the successful compensation/generation of the subject effort in the different assistive tasks considered.
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Folgen. Konvergenz und Grenzwertblem considering nominal execution times. The second layer, which is reactive, adapts online the sequence of tasks to be executed by the robot considering deviations from the nominal behaviors and requests coming from the human and from robot. The proposed architecture is experimentally validated on a collaborative assembly job.
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A Dynamic Architecture for Task Assignment and Scheduling for Collaborative Robotic Cells,blem considering nominal execution times. The second layer, which is reactive, adapts online the sequence of tasks to be executed by the robot considering deviations from the nominal behaviors and requests coming from the human and from robot. The proposed architecture is experimentally validated on a collaborative assembly job.
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Conference proceedings 2021veryday life.. . The book contains a selection of 10 papers presented at the 13th edition of the International Workshop on Human-Friendly Robotics (HFR).. . The International Workshop on Human-Friendly Robotics (HFR) is an annual meeting that brings together academic scientists, researchers, and res
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Vorlesungen über höhere Mathematikaradigm where attentional regulations are exploited to both schedule and explain robotic activities during tasks execution. The framework has been deployed in an industrial scenario where multiple pick-carry-and-place tasks are to executed, showing how the proposed approach naturally supports explainability and legibility of the robot behaviors.
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Das Integral und die Ableitung,nted as a convex quadratic program which can be solved efficiently and employed in an online fashion in many robotic teleoperation applications. Simulation results show the benefits of the approach developed in this paper applied to the human teleoperation of a second-order dynamical system.
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Vorlesungen über höhere Mathematik the passivity of system. The faster R-CNN trained on 3D vine models, is used to detect the spurs and then the statistical pattern recognition algorithm using K-means clustering is applied to find the effective pruning points. The proposed framework is tested in simulated and real environments.
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