Structure Design of Variable Diameter Walking Wheel based on Tensegrity Structure by Jianwei Sun, Daohao Sun, Yipeng Luan, Wenrui Liu, Guangsheng Song

“…In order to overcome the obstacle surmounting ability of ordinary wheel structures on unstructured terrains and the disadvantage of moving speed of leg-type robots on structured terrains， an innovative tensegrity variable diameter walking wheel mechanism is proposed based on the advantages of adaptability， self-stability and flexible mechanism. …”
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Emergence of a Snake-Like Structure in Mobile Distributed Agents: An Exploratory Agent-Based Modeling Approach by Muaz A. Niazi

“…The ideas originating from the proposed algorithm can not only be used for developing self-organizing animations but can also have practical applications such as in the form of complex, autonomous, evolvable robots with self-organizing, mobile components with minimal individual computational capabilities. …”
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Reach&Grasp: a multimodal dataset of the whole upper-limb during simple and complex movements by Dario Di Domenico, Inna Forsiuk, Simon Müller-Cleve, Simone Tanzarella, Florencia Garro, Andrea Marinelli, Michele Canepa, Matteo Laffranchi, Michela Chiappalone, Chiara Bartolozzi, Lorenzo De Michieli, Nicolò Boccardo, Marianna Semprini

“…It can be used to investigate upper-limb movements in physiological conditions, and to test sensor fusion approaches and control algorithms for prosthetics and robotic applications.…”
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Cilia-Inspired Bionic Tactile E-Skin: Structure, Fabrication and Applications by Jiahe Yu, Muxi Ai, Cairong Liu, Hengchang Bi, Xing Wu, Wu Bin Ying, Zhe Yu

“…We also explore the applications of these systems across various fields, such as medical diagnostics, motion detection, human–machine interfaces, dexterous robotics, near-field communication, and perceptual decoupling systems. …”
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Modal Analysis of 27 mm Piezo Electric Plate for Small-Scale Underwater Sonar-Based Navigation by M. O. Afolayan, D. S. Yawas, C. O. Folayan, S. Y. Aku

“…This work presents progress towards the development of a small-scale, purely sonar-based navigation device for a robotic fish (~394 mm long). Aperture overloading of small (5 mm diameter) ultrasonic transmitters does not allow them to be used effectively inside water. …”
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Adaptive Spatial Lattice Manufacturing (ASLM): A novel approach to efficient lattice structure production by Justin Dirrenberger, Pierre Lapouge, Rachel Azulay, Peter Evers, Tom Vroemen

“…Adaptive Spatial Lattice Manufacturing (ASLM) represents a groundbreaking method for fabricating lattice structures by leveraging AI-driven robotic laser welding. Unlike traditional additive manufacturing techniques, ASLM corresponds to a direct assembly of solid rods, by welding, offering remarkable benefits in energy efficiency, dimensional accuracy, and scalability. …”
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Evaluating technical vocational education and training college student’s digital skills versus throughput rate by Goodwill Phezulu Mbambo, Elizabeth C. du Plessis

“…Digital skills are now characterised by globalisation, digitisation, robotics, Artificial Intelligence (AI), big data, the Internet of Things (IoT), and various other emerging technologies consuming the world. …”
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Pressure-sensitive in-situ underwater adhesives by Jiabin Liu, Parth Singh, Tsz Hung Wong, Shaoting Lin

“…Abstract While in-situ underwater adhesives are highly desirable for marine exploration and underwater robotics, existing underwater adhesives suffer from significantly reduced performance compared to air-cured adhesives, mainly due to difficulties in removing interfacial water molecules. …”
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Global Trends on the Use of Artificial Intelligence in Nursing: A Descriptive and Evaluative Bibliometric Analysis Study by Fatma Azizoğlu, Banu Terzi

“…The prominent topics in the studies were "virtual reality, artificial intelligence, nursing, machine learning, simulation, nursing education, education, pain, nursing students, natural language processing, nurses, robotics, deep learning and mental health".Conclusion: There has been a significant increase in the number of studies on the use of artificial intelligence in nursingand this area offers an active field of study for nursing researchers…”
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Systematic review of machine learning applications using nonoptical motion tracking in surgery by Teona Z. Carciumaru, Cadey M. Tang, Mohsen Farsi, Wichor M. Bramer, Jenny Dankelman, Chirag Raman, Clemens M. F. Dirven, Maryam Gholinejad, Dalibor Vasilic

“…Surgical settings were robotic (60%), laparoscopic (18%), open (16%), and others (6%). …”
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Current Management of Pancreatic Neuroendocrine Tumors: From Demolitive Surgery to Observation by Ilenia Bartolini, Lapo Bencini, Matteo Risaliti, Maria Novella Ringressi, Luca Moraldi, Antonio Taddei

“…The relatively recent introduction of minimally invasive techniques (robotic) is a valuable option to deal with these tumors. …”
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Kinematics, kinetics, and muscle activations during human locomotion over compliant terrains by Charikleia Angelidou, Vaughn Chambers, Bradley Hobbs, Chrysostomos Karakasis, Panagiotis Artemiadis

“…Therefore, in this paper, we present the first publicly available biomechanics dataset of 20 individuals walking on terrains of varying compliance, using a unique robotic device, the Variable Stiffness Treadmill 2 (VST 2), designed to simulate walking on adjustable compliant terrain. …”
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Digital Vector in Global Educational Policy: Will it Ensure Social Justice and Access to Education? by E. A. Antyukhova, P. I. Kasatkin

“…The development of education is closely related to technological advances (artificial intelligence, augmented and virtual reality, robotics), but such changes are not actively manifested in education due to its conservatism, and are also associated with the level of development of countries and access to new technologies for citizens. …”
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Hamiltonian Neural Network 6-DoF Rigid-Body Dynamic Modeling Based on Energy Variation Estimation by Fei Simiao, Huo Lin, Sun Zhixiao, Wang He, Lu Yuanjie, He Jile, Luo Qing, Su Qihang

“…This study introduces a novel deep modeling approach that utilizes Hamiltonian neural networks to address the challenges of modeling the six degrees of freedom rigid-body dynamics induced by control inputs in various domains such as aerospace, robotics, and automotive engineering. The proposed method is based on the principles of Hamiltonian dynamics and employs an inductive bias in the form of a constructed bias for both conservative and varying energies, effectively tackling the modeling issues arising from time-varying energy in controlled rigid-body dynamics. …”
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A Short Study Role of Wireless Networks in Smart Agriculture by Antônio Clécio Fontelles Thomaz

“…The utilization of Data Innovation (IT) and things like sensors, self-fundamental cars, programmed equipment, work developments, robotization, etc. on this technique are key instruments. …”
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The integration of AI in nursing: addressing current applications, challenges, and future directions by Qiuying Wei, Songcheng Pan, Songcheng Pan, Xiaoyu Liu, Mei Hong, Chunying Nong, Weiqi Zhang

“…The potential of AI to reshape personalized care, advance robotics in nursing, and address global health challenges is explored in depth. …”
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Enhancing Physical Activity and Brain Reorganization after Stroke by Janet H. Carr, Roberta B. Shepherd

“…Physiotherapy must take advantage of the training aids available, including exercise equipment such as treadmills, and of new developments in computerised feedback systems, robotics, and electromechanical trainers. For illustrative purposes, this paper focuses on the role of physiotherapists, but the necessary changes in practice and in attitude will require cooperation from many others.…”
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A systematic literature review and taxonomy proposition of machine learning techniques in smart manufacturing by Frederico de Oliveira Santos, Ivanete Schneider Hahn

“…The main findings show that machinery was the industry subsector with the major implementations regarding machine learning; process improvement is the main concern (interest) of all implementations; random forest was the most specific machine learning technique used; and diverse technologies associated with this context were identified such as: the industrial internet of things, digital twin, sensor technologies (soft, optical, barometric, ultrasonic), software technologies (Python, MATLAB, LabView, Google AutoML Platform) and equipment technologies (robotic, PLC, CNC). Most fault detection machine learning applications were focused on predictive maintenance, specifically in mechanical equipment (bearings, machines in general, and assembly lines). …”
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Enhancing navigation performance in unknown environments using spiking neural networks and reinforcement learning with asymptotic gradient method by Xiaode Liu, Yufei Guo, Yuanpei Chen, Jie Zhou, Yuhan Zhang, Weihang Peng, Xuhui Huang, Zhe Ma

“…Abstract Achieving accurate and generalized autonomous navigation in unknown environments poses a significant challenge in robotics and artificial intelligence. Animals exhibits superlative navigation capabilities by combining the representation of internal neurals and sensory cues of self-motion and external information. …”
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Exploring the Links Between Employee Resilience and Career Satisfaction: The Roles of Job Crafting and STARA Awareness by Dilek Yılmaz Börekçi, Cem Güney Özveren, Merve Gerçek

“…Also, this study examines whether smart technology, artificial intelligence, robotics, and algorithms (STARA) awareness moderates the relationship between those variables. …”
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