Titlebook: Human-Friendly Robotics 2022; HFR: 15th Internatio Pablo Borja,Cosimo Della Santina,Elena Torta Conference proceedings 2023 The Editor(s) (

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Designing Robots with the Context in Mind- One Design Does Not Fit All,years point toward a growing need for Socially Assistive Robots (SARs) in various contexts and functions, interacting with various users. Since SAR types have functional differences, the user experience must vary by the context of use, functionality, user characteristics, and environmental condition

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Estimation of Whole-Body Muscular Activation from an Optimal Set of Scarce Electromyographic Recordy achieved relying on muscle activation recordings, commonly performed via wearable electromyographic EMG sensors. However, to properly acquire whole-body muscular status, a large number of sensors is needed. This represents a limitation for a real deployment of wearable acquisition systems, due to

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Exploration of Human-Robot Collaboration Methods for Iterative Design Optimization of Paper Airplanantageous to design. Robots excel in terms of fabrication reliability and observation of trends in data whereas humans have prior knowledge and experience to inform decision making. By enabling robots and humans to collaborate on design problems, we may be able to achieve the best of both worlds. We

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Online vs. Offline Adaptive Domain Randomization Benchmark,ansferring the acquired knowledge to the real world can be challenging due to the reality gap. To this end, several methods have been recently proposed to automatically tune simulator parameters with posterior distributions given real data, for use with domain randomization at training time. These a

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,Robotic Strawberry Flower Treatment Based on Deep-Learning Vision,sists of a collaborative robot equipped with an RGB-D camera used in the detection pipeline. A semi-automated 3D based image annotation method (A3IA) is developed for the purpose of automatically generating the training data. The efficiency of the detection model trained on automatically annotated d

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,Toward Human-Robot Cooperation: Unsupervised Domain Adaptation for Egocentric Action Recognition,llocation strategies. For a purposeful interaction, however, the robot is also required to understand and predict the action of the human not only at a kinematic level (i.e. motion estimation), but also at an higher level of abstraction (i.e. action recognition), ideally from the human own perspecti