Results 61 to 70 of about 2,026 (175)

A Review on the Form and Complexity of Human–Robot Interaction in the Evolution of Autonomous Surgery

Advanced Intelligent Systems
As robotics and intelligence increasingly integrate into surgery, the pivotal role of human–robot interaction (HRI) in surgical procedures and outcomes becomes evident.
Tangyou Liu, Jiaole Wang, Shing Wong, Andrew Razjigaev, Susann Beier, Shuhua Peng, Thanh Nho Do, Shuang Song, Dewei Chu, Chun Hui Wang, Nigel H. Lovell, Liao Wu   +11 more
doaj   +1 more source

Human-Robot Interaction: A State of the Art

Algerian Journal of Signals and Systems
The introduction of robots into our daily lives has created new challenges for autonomous robots: adapting to the existence of humans in the same environment and interacting with them has given rise to a new research field called Human-Robot Interaction
Souhila KAHLOUCHE
doaj   +3 more sources

Metformin Partially Attenuates Simvastatin‐Induced Myotoxic Responses in C2C12 Myotubes Through Metabolic Adaptation

The FASEB Journal, Volume 40, Issue 13, 15 July 2026.
Simvastatin induces metabolic suppression, mitochondrial dysfunction, and atrophy‐related responses in skeletal muscle cells. In differentiated C2C12 myotubes, metformin partially attenuates these alterations by preserving myotube structural integrity, reducing cellular stress signaling, and maintaining mitochondrial network organization despite ...
Chuqi He, Mike Wesselink, Jelle Y. Huijts, Zhenjia Zhong, Moritz Eggelbusch, Richard T. Jaspers, Rob C. I. Wüst   +6 more
wiley   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, Volume 8, Issue 7, July 2026.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source

Design‐for‐Benchmarking in Soft Robotics: Navigating Component‐System Dichotomy

Advanced Intelligent Systems, Volume 8, Issue 7, July 2026.
Soft robotics faces a profound evaluation challenge: the Component‐System Dichotomy, where isolated component tests fail to predict integrated performance. This article presents a systematic survey of critical reporting gaps across actuation, sensing, and control.
Matteo Lo Preti, Muhammad Sunny Nazeer, Josh Pinskier, David Howard, Cecilia Laschi   +4 more
wiley   +1 more source

Exploring the Agency of Algorithmic Technology in Talent Management Decision‐Making: An Actor‐Network Theory Perspective

Human Resource Management Journal, Volume 36, Issue 3, Page 441-459, July 2026.
ABSTRACT Guided by the Actor‐Network Theory (ANT) perspective, this study explores user experiences with the perceived agency of algorithmic technology in the context of talent management (TM) decisions. Through a qualitative analysis of 11 client companies utilizing algorithmic TM decision‐making technology provided by an HR tech service firm, we ...
Violetta Khoreva, Vlad Vaiman, Sunghoon Kim   +2 more
wiley   +1 more source

Human-Robot Interaction Conversational User Enjoyment Scale (HRI CUES)

IEEE Transactions on Affective Computing
Published in IEEE Transactions on Affective Computing on 18 July 2025. Personal use of this material is permitted.
Bahar Irfan, Jura Miniota, Sofia Thunberg, Erik Lagerstedt, Sanna Kuoppamäki, Gabriel Skantze, André Pereira   +6 more
openaire   +3 more sources

Equanimity in HRI: Applying Calm Technology Principles to Human-Robot Interaction

Conference pre-print.
Barbara Sienkiewicz, Bipin Indurkhya
openaire   +3 more sources

Emotion Analysis in Human–Robot Communication With ELMO Robot Using Deep Learning

IEEE Access
The paper focuses on the field of emotion analysis in Human–Robot Interaction (HRI). In communication with other people, people use the perception of their emotions to make communication better, smoother, and leading to better understanding ...
Kristina Machova, Marian Mach, Peter Demeter   +2 more
doaj   +1 more source

Real-Time Emotion Recognition in Human-Robot Interaction Using Deep AI Models

Wasit Journal of Computer and Mathematics Science
Emotion recognition in human-robot interaction (HRI) is important in order to develop socially aware and responsive robotic systems. In this work, a near real-time emotion recognition architecture is introduced which combines deep AI models such as CNN ...
Hiba alaamaidi
doaj   +1 more source