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.…”
Get full text

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. …”
Get full text

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. …”
Get full text

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.…”
Get full text

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. …”
Get full text

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.…”
Get full text

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. …”
Get full text

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. …”
Get full text

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.…”
Get full text

A Multimodal Information Fusion Model for Robot Action Recognition with Time Series by Xiaozhi Zhang, Hongyan Li, Mengjie Qian

“…As a result, this paper proposes a time series-based action recognition model with multimodal information fusion and applies it to a robot to realize friendly human-robot interaction. Multifeatures can characterize data information comprehensively, and in this study, the spatial flow and motion flow features of the dataset are extracted separately, and each feature is input into a bidirectional long and short-term memory network (BiLSTM). …”
Get full text

Anthropomorphic service recovery: the panacea following service failure of automated CSAs by Nobukhosi Dlodlo

“…Practical/managerial implications: The findings of this study could shape customers’ response mechanisms during failed interactions with automated CSAs, offering salient insights to adequately address service failures while tapping into the judicious utilisation of human-robot collaboration opportunities. Contribution/value-add: The study provides initial lenses for considering the social acting nature of automated CSAs. …”
Get full text

Incremental Instance-Oriented 3D Semantic Mapping via RGB-D Cameras for Unknown Indoor Scene by Wei Li, Junhua Gu, Benwen Chen, Jungong Han

“…Scene parsing plays a crucial role when accomplishing human-robot interaction tasks. As the “eye” of the robot, RGB-D camera is one of the most important components for collecting multiview images to construct instance-oriented 3D environment semantic maps, especially in unknown indoor scenes. …”
Get full text

Emerging Risk Management in Industry 4.0: An Approach to Improve Organizational and Human Performance in the Complex Systems by F. Brocal, C. González, D. Komljenovic, P. F. Katina, Miguel A. Sebastián

“…Therefore, the objective of this paper is to propose an organizational and human performance approach to improve the emerging risk management linked to the complex systems, like as Human-Machine Interactions (HMI) and Human-Robot Interaction (HRI). To fulfill this objective, we first introduce the concept of emerging risk linked to human factor. …”
Get full text

Facial expression recognition through muscle synergies and estimation of facial keypoint displacements through a skin-musculoskeletal model using facial sEMG signals by Lun Shu, Victor R. Barradas, Zixuan Qin, Yasuharu Koike

“…The development of facial expression recognition (FER) and facial expression generation (FEG) systems is essential to enhance human-robot interactions (HRI). The facial action coding system is widely used in FER and FEG tasks, as it offers a framework to relate the action of facial muscles and the resulting facial motions to the execution of facial expressions. …”
Get full text

SkelETT—Skeleton-to-Emotion Transfer Transformer by Pedro Victor Vieira Paiva, Josue Junior Guimaraes Ramos, Marina Gavrilova, Marco Antonio Garcia de Carvalho

“…Emotion recognition plays an essential role in human-computer interaction, spanning diverse domains from human-robot communication and virtual reality to mental health assessment and affective computing. …”
Get full text