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Frontiers in Robotics and AI
Scopus
ISSN 2296-9144 · Frontiers Media S.A. · 2.507 artikel di indeks
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Artikel Jurnal
A substation robot path planning algorithm based on deep reinforcement learning enhanced by ant colony optimization
Substation robots face significant challenges in path planning due to the complex electromagnetic environment, dense equipment layout, and safety-critical operational requirements. This paper proposes a path planning algorithm based on deep reinforcement learning enhanced by ant colony…
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Artikel Jurnal
Modelling C-arm fluoroscopy and operating table kinematics via machine learning
This work presents a machine learning driven framework for data-efficient kinematic modeling and workspace optimization in modular C-arm fluoroscopy systems integrated with operating tables. A comprehensive dataset of joint configurations and end-effector poses annotated with voxelized collision…
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Artikel Jurnal
Understanding accounting professionals’ intention to adopt robotic process automation: a TOE-based empirical assessment from an emerging country
The proliferation of the Fourth Industrial Revolution (4IR) is transforming the accounting landscape, with technologies such as Robotic Process Automation (RPA) changing the face of traditional accounting processes. This study investigates the level of RPA adoption among accountants in South Africa…
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Helping or watching it happen: how participants respond to robot failures in a turn-taking game
Robot failures in Human-Robot Interaction (HRI), though often stemming from technical limitations, can have severe effects on the interactional dynamics between humans and robots. Prior empirical research has led to conflicting findings on how such failures influence user perceptions and the…
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Artikel Jurnal
Deep learning-based robotic cloth manipulation applications: systematic review, challenges and opportunities for physical AI
Cloth unfolding and folding are fundamental tasks in autonomous robotic cloth manipulation as Physical AI. Driven by recent advances in deep learning, this area has developed rapidly in recent years. This review aims to systematically identify and summarize current progress in deep learning-based…
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Artikel Jurnal
Robotic transesophageal echocardiography: system design and deep learning-based kinematic modeling
IntroductionThis paper presents a robotic transesophageal echocardiography (TEE) system that replicates all essential degrees of freedom available in manual TEE procedures. The developed robotic system advances dual-subsystem architectures through enhanced mechanical design and deep learning-based…
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Artikel Jurnal
Transforming dementia caregiver support with AI-powered social robotics
IntroductionInformal dementia caregivers face significant emotional and physical burdens, yet evidence-based interventions like REACH are often limited by high labor costs and scalability constraints.MethodsWe design a Robot-based Information and Support to Enhance Alzheimer’s Caregiver Health…
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Artikel Jurnal
ecg2o: a seamless extension of g2o for equality-constrained factor graph optimization
Factor graph optimization serves as a fundamental framework for robotic perception, enabling applications such as pose estimation, simultaneous localization and mapping (SLAM), structure-from-motion (SfM), and situational modeling. Traditionally, these methods solve unconstrained least squares…
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Artikel Jurnal
WildDrone: autonomous drone technology for monitoring wildlife populations
The rapid loss of biodiversity worldwide is unprecedented, with more species facing extinction now than at any other time in human history. Key factors contributing to this decline include habitat destruction, overexploitation, and climate change. There is an urgent need for innovative and…
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Artikel Jurnal
Robots, ledgers, and RevPAR: a blockchain-enabled AI–robotics conceptual model for sustainable hotel revenue and asset management
IntroductionRobotics and artificial intelligence (AI) are rapidly reshaping hospitality by automating frontline and back-of-house processes, augmenting service encounters, and expanding the analytical scope of revenue management. Yet, existing research remains fragmented: service-robot studies…
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Artikel Jurnal
Transforming customer experience in social robotics through explainable and interpretable artificial intelligence over a decade
Over the past decade, the field of social robotics has witnessed significant advancements in enhancing user experience (UX) and customer experience (CX) through the integration of Explainable Artificial Intelligence (XAI) and Interpretable Artificial Intelligence (IAI). This research presents a…
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Artikel Jurnal
When AI takes the wheel: AI-defined vehicles principles and pitfalls
As introduced by Asimov in “I, Robot”, intelligent machines are characterized as systems capable of performing tasks that traditionally require human intelligence, such as autonomous decision-making and driving. In this context, modern road vehicles can increasingly be understood as robotic systems…
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LINA’s testing infrastructure enables AI to take-off in unmanned aerial vehicles (UAVs)
The development of autonomous aerial robots capable of safely navigating complex real-world environments without or with little human intervention represents a major milestone in robotics and artificial intelligence (AI). While rapid advances in AI-enabled decision-making, sensing, and control…
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Artikel Jurnal
Control flow graph based code optimization using graph neural networks
Selecting a good set of optimization flags requires extensive effort and expert input. While most of the prior research considers using static, spatial, or dynamic features, some of the latest research directly applied deep neural networks to source code. We combined the static features, spatial…
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Artikel Jurnal
Collapse and collision aware grasping for cluttered shelf picking
In modern smart factories, automated shelf picking must deliver high throughput, flexibility, and safe human–robot collaboration. In these environments, efficient and safe retrieval of stacked objects is a significant challenge due to complex spatial dependencies and structural inter-dependencies…
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Targetless LiDAR–camera extrinsic calibration via semantic distribution alignment
IntroductionLiDAR–camera fusion systems are widely used in robotic localization and perception, where accurate extrinsic calibration is crucial for multi-sensor fusion. During long-term operation, extrinsic parameters can drift due to vibration and other disturbances, while target-based…
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Artikel Jurnal
Entropy-dependent human motor modulation consistent with morphological computation in a single subject
Morphological computation (MC)—the idea that body mechanics contribute to computation—has been widely explored in robotics and examined in humans from a physiological perspective. In this study, we report a behavioral pattern consistent with MC under temporal uncertainty. This proof-of-concept…
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Artikel Jurnal
Operationalising reproducibility in soft robotics
Reproducibility is a particular challenge for soft robotics, yet remains a core part of its development and maturation as a field. This perspective dives into reproducibility: what it is, what it means, and how it can be applied to soft robotics. We first discuss reproducibility and delineate why…
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