Extending NGOMSL Model for Human-Humanoid Robot Interaction in the Soccer Robotics Domain by Rajesh Elara Mohan, Carlos Antonio Acosta Calderon, Changjiu Zhou, Pik Kong Yue

“…In the last few years, mobile robots have been exhibiting a stronger presence in commercial markets and very little work has been done with NGOMSL modelling for usability evaluations in the human-robot interaction discipline. This paper focuses on extending the NGOMSL model for usability evaluation of human-humanoid robot interaction in the soccer robotics domain. …”
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ROBOTISATION AND SERVICE AUTOMATION IN THE TOURISM AND HOSPITALITY SECTOR: A META-STUDY (1993-2024) by Dušan MANDIĆ, Miroslav KNEŽEVIĆ, Dušan BOROVČANIN, Aleksandra VUJKO

“…Despite this growth, gaps remain in experimental robotics research and studies on data privacy, human-robot interactions, and financial viability. …”
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Force Tracking Control of Lower Extremity Exoskeleton Based on a New Recurrent Neural Network by Yuxuan Cao, Jie Chen, Li Gao, Jiqing Luo, Jinyun Pu, Shengli Song

“…It is difficult to develop a precise force tracking control approach for the exoskeleton because of the dynamics model uncertainty, external disturbances, and unknown human–robot interactive force lied in the system. In this paper, a control method based on a novel recurrent neural network, namely zeroing neural network (ZNN), is proposed to obtain the accurate force tracking. …”
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Technoeconomic Assessment of Electric Vehicle Battery Disassembly-Challenges and Opportunities From a Robotics Perspective by Jamie Hathaway, Cesar Alan Contreras, Mohammed Eesa Asif, Rustam Stolkin, Alireza Rastegarpanah

“…Incorporating this into an analysis of task feasibility, level of automation and robot time efficiency, we establish a roadmap towards robotizing the disassembly process based on human-robot colllaboration, demonstrating a 12.85% increase in net annual revenue and 43.75% reduction in disassembly cost with current level of task feasibility. …”
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Hands-Free Maneuvers of Robotic Vehicles via Human Intentions Understanding Using Wearable Sensing by Weitian Wang, Rui Li, Longxiang Guo, Z. Max Diekel, Yunyi Jia

“…Experimental results and evaluations demonstrated that, by taking advantage of the nonphysical contact and natural handleability of this approach, the robotic vehicle was successfully and effectively maneuvered to finish the driving tasks with considerable accuracy and robustness in human-robotic vehicle interaction.…”
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Older Adults’ Perceptions of Supporting Factors of Trust in a Robot Care Provider by Rachel E. Stuck, Wendy A. Rogers

“…Each of these had subthemes including those identified in prior human-robot trust literature such as ability, reliability, and safety. …”
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The Metaverse for Industry 5.0 in NextG Communications: Potential Applications and Future Challenges by Prabadevi Boopathy, Natarajan Deepa, Praveen Kumar Reddy Maddikunta, Nancy Victor, Thippa Reddy Gadekallu, Gokul Yenduri, Wei Wang, Quoc-Viet Pham, Thien Huynh-The, Madhusanka Liyanage

“…Industry 5.0 is expected to reform the manufacturing processes through human-robot collaboration and effective utilization of technologies like Artificial intelligence for increased productivity and less maintenance. …”
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Fast and Accurate Hand Visual Detection by Using a Spatial-Channel Attention SSD for Hand-Based Space Robot Teleoperation by Qing Gao, Xin Zhang, Wenrao Pang

“…Space robot teleoperation is an important technology in the space human-robot interaction and collaboration. Hand-based visual teleoperation can make the operation more natural and convenient. …”
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Brain lateralisation feature extraction and ant colony optimisation‐bidirectional LSTM network model for emotion recognition by Woo‐Hyun Hwang, Dong‐Hyun Kang, Deok‐Hwan Kim

“…Abstract The human inner perception is the core technology for human‐robot interactions. Emotion recognition has been established as a representative study for recognising the internal state of human beings in addition to research regarding intention recognition. …”
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A New Skeleton Model and the Motion Rhythm Analysis for Human Shoulder Complex Oriented to Rehabilitation Robotics by Song Zhibin, Ma Tianyu, Nie Chao, Niu Yijun

“…This paper proposes a new hybrid spatial model based on joint geometry constraints to describe the movement of the shoulder skeletal system and establish the position analysis equation of the model by a homogeneous coordinate transformation matrix and vector method, which can be used to calculate the kinematics of human-robot integrated system. The shoulder rhythm, the most remarkable particularity in shoulder complex kinematics and important reference for shoulder training strategy using robotics, is described and analyzed via the proposed skeleton model by three independent variables in this paper. …”
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Unveiling spatiotemporal temperature distribution at the skin in contact with hot solid surfaces by Jinu Sudhakaran, Dongchan Lee, Jung Kyung Kim

“…These findings have broad implications from shaping thermal safety protocols to advancing thermal tactile sensing for applications encompassing human–robot interactions, haptics, and electronic skins.…”
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An Electronic Slime-Based Epidermal Electrode Using Carbon Nanocomposites for Biosignal Sensing by Yu Feng, Hui Sun, Meng Chen, Cong Wu, Jiankun Li, Zhi Li, Kremena Makasheva, Na Liu, Guanglie Zhang, Wen Jung Li

“…Our results demonstrate the electrode's capability in biosignal sensing, including electrocardiogram (ECG) monitoring with a high signal-to-noise ratio (SNR) of 46dB and electromyogram (EMG) monitoring for real-time human-robot interaction. This work introduces a novel strategy for the design and fabrication of epidermal electrodes, offering high conformability, low impedance, and superior signal quality, which holds significant promise for applications in intelligent healthcare monitoring and human-machine interfaces.…”
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A Novel Model to Detect and Classify Fresh and Damaged Fruits to Reduce Food Waste Using a Deep Learning Technique by T. Bharath Kumar, Deepak Prashar, Gayatri Vaidya, Vipin Kumar, S. Deva Kumar, F. Sammy

“…Despite the fact that people routinely classify healthy and rotten fruits, fruit growers find it ineffective. In contrast to humans, robots do not grow tired from doing the same thing again and again. …”
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Toward Design of a Drip-Stand Patient Follower Robot by Zewen Wu, Shahram Payandeh

“…A person following robot is an application of service robotics that primarily focuses on human-robot interaction, for example, in security and health care. …”
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I See Your Gesture: A VR-Based Study of Bidirectional Communication between Pedestrians and Automated Vehicles by Michael R. Epke, Lars Kooijman, Joost C. F. de Winter

“…It is concluded that bidirectional human-robot communication has considerable potential.…”
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Flexible electro-hydraulic power chips by Chao Zhang, Jionghao Chen, Changyi Xu, Tairan He, Xiaolong Zhang, Junhui Zhang, Ximing Sun, Bing Xu, Yi Zhu, Huayong Yang

“…Abstract Emerging soft systems, including soft robots or wearable devices, actuated by fluidic means facilitate a series of inherent benefits, including safe human-robot interactions, lower costs, and adaptability in geometry for manipulating delicate objects. …”
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Hobbit: Providing Fall Detection and Prevention for the Elderly in the Real World by Markus Bajones, David Fischinger, Astrid Weiss, Daniel Wolf, Markus Vincze, Paloma de la Puente, Tobias Körtner, Markus Weninger, Konstantinos Papoutsakis, Damien Michel, Ammar Qammaz, Paschalis Panteleris, Michalis Foukarakis, Ilia Adami, Danai Ioannidi, Asterios Leonidis, Margherita Antona, Antonis Argyros, Peter Mayer, Paul Panek, Håkan Eftring, Susanne Frennert

“…Our trials show the necessity to move out into actual user homes, as only there can we encounter issues such as misinterpretation of actions during unscripted human-robot interaction.…”
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UAV With the Ability to Control with Sign Language and Hand by Image Processing by Hediyeh Hojaji, Alireza Delisnav, Mohammad Hossein Ghafouri Moghaddam, Fariba Ghorbani, Shadi Shafaghi, Masoud Shafaghi

“… Automatic recognition of sign language from hand gesture images is crucial for enhancing human-robot interaction, especially in critical scenarios such as rescue operations. …”
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Neural Network for Enhancing Robot-Assisted Rehabilitation: A Systematic Review by Nafizul Alam, Sk Hasan, Gazi Abdullah Mashud, Subodh Bhujel

“…CNNs improve motion intention estimation and control accuracy, while LSTM networks capture temporal muscle activity patterns for real-time rehabilitation. RBFNNs improve human–robot interaction by adapting to individual movement patterns, leading to more personalized and efficient therapy. …”
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Thermoregulatory integration in hand prostheses and humanoid robots through blood vessel simulation by Sang-Mi Jeong, Jonguk Yang, Youngsoo Kang, Hee Sung Seo, Keumyoung Seo, Taekyung Lim, Sanghyun Ju

“…The results from this study show a promising direction in humanoid robotics, fostering improved tactile interactions and redefining human–robot relationships. This innovative technique facilitates further advancements, blurring the lines between artificial aids and natural biological systems.…”
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