Titlebook: Discovering the Frontiers of Human-Robot Interaction; Insights and Innovat Ramana Vinjamuri Book 2024 The Editor(s) (if applicable) and The

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Toward Genuine Robot Teammates: Improving Human-Robot Team Performance Beyond Shared Mental Models obots with these more proactive behaviors will become even more effective teammates. The results from a human subject evaluation showed that proactive robot behaviors improve task efficiency and performance over mere reactive behaviors and objectively lowered human workload as measured by percentage change in the subject’s pupil size.

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,New Horizons in Human–Robot Interaction: Synergy, Cognition, and Emotion,ate the evolving landscape of HRI, where multimodal approaches are essential for developing systems that are both adaptive and capable of complex interactions with humans. This study aims to deepen the understanding of these interactions and pave the way for future innovations in the field.

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,Human–Robot Interaction in Biopsy Procedures: A Biomimetic Dual-Sheath Needle Design Inspired by Inutcomes in robot-assisted biopsy interventions. The bioinspired dual-sheath design presents an innovative solution for precise and minimally invasive biopsy sampling by leveraging biomimicry and human–robot interactions.

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,Meetings with Tennyson (1849–89),ject study to answer these questions. Results from the simulation study show that alignment of values is important for trust when the overall risk level of the task is high. We also present an adaptive strategy for the robot that uses Inverse Reinforcement Learning (IRL) to match the values of the r

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https://doi.org/10.1007/978-1-349-20233-1ious optimization methods, and the assessment of outcomes. Additionally, we provide a comparative analysis of the HIL optimization method against alternative control strategies, such as those based on reinforcement learning. Looking forward, we discuss expected trends that aim to enhance the efficac

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,Idylls of the King 1859 – 1885,of these challenges with a hybrid (active-passive) paradigm and the associated limitations. These recommendations are finally supported by two case studies for resistive and assistive interventions in human walking, respectively, performed using an active portable device, “Wearable Adaptive Rehabili

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,Isolierung und Strukturaufkl?rung,t fuzzy inference systems are developed to steer a bevel-tip flexible needle within a desired plane. One of the developed fuzzy inference systems involves the Lyapunov analysis-based fuzzy rule base, whereas the other model employs the neural network to build the adaptive rule base depending on prev