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YOLOv8-ACU: improved YOLOv8-pose for facial acupoint detection
YOLOv8-ACU: improved YOLOv8-pose for facial acupoint detection
IntroductionAcupoint localization is integral to Traditional Chinese Medicine (TCM) acupuncture diagnosis and treatment. E...
Editorial: The roles of self-organization and sensory adaptation for locomotion in animals and robots
Editorial: The roles of self-organization and sensory adaptation for locomotion in animals and robots
Self-organization is the emergence of a global spatial or dynamical pattern in a system with interacting components govern...
Identifying the characteristics of patients with stroke who have difficulty benefiting from gait training with the hybrid assistive limb: a retrospective cohort study
Identifying the characteristics of patients with stroke who have difficulty benefiting from gait training with the hybrid assistive limb: a retrospective cohort study
Robot-assisted gait training is effective for walking independence in stroke rehabilitation, the hybrid assistive limb (HA...
ADAM: a robotic companion for enhanced quality of life in aging populations
ADAM: a robotic companion for enhanced quality of life in aging populations
One of the major problems of today's society is the rapid aging of its population. Life expectancy is increasing, but ...
Velocity-aware spatial-temporal attention LSTM model for inverse dynamic model learning of manipulators
Velocity-aware spatial-temporal attention LSTM model for inverse dynamic model learning of manipulators
IntroductionAn accurate inverse dynamics model of manipulators can be effectively learned using neural networks. However, ...
Dynamic event-based optical identification and communication
Dynamic event-based optical identification and communication
Optical identification is often done with spatial or temporal visual pattern recognition and localization. Temporal patter...
Human-robot planar co-manipulation of extended objects: data-driven models and control from human-human dyads
Human-robot planar co-manipulation of extended objects: data-driven models and control from human-human dyads
Human teams are able to easily perform collaborative manipulation tasks. However, simultaneously manipulating a large exte...
Keeping social distance in a classroom while interacting via a telepresence robot: a pilot study
Keeping social distance in a classroom while interacting via a telepresence robot: a pilot study
IntroductionThe use of various telecommunication tools has grown significantly. However, many of these tools (e.g., comput...
Design and assessment of a reconfigurable behavioral assistive robot: a pilot study
Design and assessment of a reconfigurable behavioral assistive robot: a pilot study
IntroductionFor patients with functional motor disorders of the lower limbs due to brain damage or accidental injury, rest...
Metastability indexes global changes in the dynamic working point of the brain following brain stimulation
Metastability indexes global changes in the dynamic working point of the brain following brain stimulation
Several studies have shown that coordination among neural ensembles is a key to understand human cognition. A well charted...
Editorial: Sensing and control for efficient human-robot collaboration
Editorial: Sensing and control for efficient human-robot collaboration
the control strategies of HRC systems need to be updated based on human intervention by allocating the 5 robot's capab...
Motion planning framework based on dual-agent DDPG method for dual-arm robots guided by human joint angle constraints
Motion planning framework based on dual-agent DDPG method for dual-arm robots guided by human joint angle constraints
IntroductionReinforcement learning has been widely used in robot motion planning. However, for multi-step complex tasks of...
Editorial: Neuro-derived control for interactive technology on unmanned robot systems
Editorial: Neuro-derived control for interactive technology on unmanned robot systems
Furthermore, the neural network is a powerful tool to reflect the behavior of the human brain, allowing computer programs ...
SR-TTS: a rhyme-based end-to-end speech synthesis system
SR-TTS: a rhyme-based end-to-end speech synthesis system
Deep learning has significantly advanced text-to-speech (TTS) systems. These neural network-based systems have enhanced sp...
Deep learning-based control framework for dynamic contact processes in humanoid grasping
Deep learning-based control framework for dynamic contact processes in humanoid grasping
Humanoid grasping is a critical ability for anthropomorphic hand, and plays a significant role in the development of human...
Multi-channel high-order network representation learning research
Multi-channel high-order network representation learning research
The existing network representation learning algorithms mainly model the relationship between network nodes based on the s...
Editorial: Swarm neuro-robots with the bio-inspired environmental perception
Editorial: Swarm neuro-robots with the bio-inspired environmental perception
From disaster zone exploration to environmental monitoring, robots capable of navigating complex and unpredictable environ...
Assessment and analysis of accents in air traffic control speech: a fusion of deep learning and information theory
Assessment and analysis of accents in air traffic control speech: a fusion of deep learning and information theory
IntroductionEnhancing the generalization and reliability of speech recognition models in the field of air traffic control ...
Multimodal audio-visual robot fusing 3D CNN and CRNN for player behavior recognition and prediction in basketball matches
Multimodal audio-visual robot fusing 3D CNN and CRNN for player behavior recognition and prediction in basketball matches
IntroductionIntelligent robots play a crucial role in enhancing efficiency, reducing costs, and improving safety in the lo...
HiDeS: a higher-order-derivative-supervised neural ordinary differential equation for multi-robot systems and opinion dynamics
HiDeS: a higher-order-derivative-supervised neural ordinary differential equation for multi-robot systems and opinion dynamics
This paper addresses the limitations of current neural ordinary differential equations (NODEs) in modeling and predicting ...
Player detection method based on scale attention and scale equalization algorithm
Player detection method based on scale attention and scale equalization algorithm
IntroductionObject detection methods for team ball games players often struggle due to their reliance on dataset scale sta...
Mobip: a lightweight model for driving perception using MobileNet
Mobip: a lightweight model for driving perception using MobileNet
The visual perception model is critical to autonomous driving systems. It provides the information necessary for self-driv...
Safe physical interaction with cobots: a multi-modal fusion approach for health monitoring
Safe physical interaction with cobots: a multi-modal fusion approach for health monitoring
Health monitoring is a critical aspect of personalized healthcare, enabling early detection, and intervention for various ...
Neurophysiological mental fatigue assessment for developing user-centered Artificial Intelligence as a solution for autonomous driving
Neurophysiological mental fatigue assessment for developing user-centered Artificial Intelligence as a solution for autonomous driving
The human factor plays a key role in the automotive field since most accidents are due to drivers' unsafe and risky be...
A visual questioning answering approach to enhance robot localization in indoor environments
A visual questioning answering approach to enhance robot localization in indoor environments
Navigating robots with precision in complex environments remains a significant challenge. In this article, we present an i...
Social robots as effective language tutors for children: empirical evidence from neuroscience
Social robots as effective language tutors for children: empirical evidence from neuroscience
The aim of the current study was to investigate children's brain responses to robot-assisted language learning. EEG br...
Editorial: Women in neurorobotics
Editorial: Women in neurorobotics
Understanding the neural mechanisms of empathy toward robots to shape future applications: This article, authored by Jenna...
Research on system of ultra-flat carrying robot based on improved PSO algorithm
Research on system of ultra-flat carrying robot based on improved PSO algorithm
Ultra-flat carrying robots (UCR) are used to carry soft targets for functional safety road tests of intelligent driving ve...
Voting based double-weighted deterministic extreme learning machine model and its application
Voting based double-weighted deterministic extreme learning machine model and its application
This study introduces an intelligent learning model for classification tasks, termed the voting-based Double Pseudo-invers...
Editorial: Brain-inspired navigation and sensing for robots
Editorial: Brain-inspired navigation and sensing for robots
robotics have witnessed remarkable progress over the years. However, a significant challenge 13 modern robots have encount...
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