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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...
Sports competition tactical analysis model of cross-modal transfer learning intelligent robot based on Swin Transformer and CLIP
Sports competition tactical analysis model of cross-modal transfer learning intelligent robot based on Swin Transformer and CLIP
IntroductionThis paper presents an innovative Intelligent Robot Sports Competition Tactical Analysis Model that leverages ...
Editorial: Intelligent control and applications for robotics, volume II
Editorial: Intelligent control and applications for robotics, volume II
Robotic technologies have undergone decades of the development and has now entered a highly intelligent stage, which is wi...
A survey of path planning of industrial robots based on rapidly exploring random trees
A survey of path planning of industrial robots based on rapidly exploring random trees
Path planning is an essential part of robot intelligence. In this paper, we summarize the characteristics of path planning...
Leg-body coordination strategies for obstacle avoidance and narrow space navigation of multi-segmented, legged robots
Leg-body coordination strategies for obstacle avoidance and narrow space navigation of multi-segmented, legged robots
IntroductionMillipedes can avoid obstacle while navigating complex environments with their multi-segmented body. Biologica...
Learning geometric Jensen-Shannon divergence for tiny object detection in remote sensing images
Learning geometric Jensen-Shannon divergence for tiny object detection in remote sensing images
Tiny objects in remote sensing images only have a few pixels, and the detection difficulty is much higher than that of reg...
Feature fusion network based on few-shot fine-grained classification
Feature fusion network based on few-shot fine-grained classification
The objective of few-shot fine-grained learning is to identify subclasses within a primary class using a limited number of...
Fuzzy super twisting mode control of a rigid-flexible robotic arm based on approximate inertial manifold dimensionality reduction
Fuzzy super twisting mode control of a rigid-flexible robotic arm based on approximate inertial manifold dimensionality reduction
IntroductionThe control of infinite-dimensional rigid-flexible robotic arms presents significant challenges, with direct t...
A human-centered safe robot reinforcement learning framework with interactive behaviors
A human-centered safe robot reinforcement learning framework with interactive behaviors
Deployment of Reinforcement Learning (RL) algorithms for robotics applications in the real world requires ensuring the saf...
Peg-in-hole assembly skill imitation learning method based on ProMPs under task geometric representation
Peg-in-hole assembly skill imitation learning method based on ProMPs under task geometric representation
IntroductionBehavioral Cloning (BC) is a common imitation learning method which utilizes neural networks to approximate th...
Cross-modal self-attention mechanism for controlling robot volleyball motion
Cross-modal self-attention mechanism for controlling robot volleyball motion
IntroductionThe emergence of cross-modal perception and deep learning technologies has had a profound impact on modern rob...
Exploring the EMG transient: the muscular activation sequences used as novel time-domain features for hand gestures classification
Exploring the EMG transient: the muscular activation sequences used as novel time-domain features for hand gestures classification
IntroductionMuscular activation sequences have been shown to be suitable time-domain features for classification of motion...
Harmonizing minds and machines: survey on transformative power of machine learning in music
Harmonizing minds and machines: survey on transformative power of machine learning in music
This survey explores the symbiotic relationship between Machine Learning (ML) and music, focusing on the transformative ro...
Dense captioning and multidimensional evaluations for indoor robotic scenes
Dense captioning and multidimensional evaluations for indoor robotic scenes
The field of human-computer interaction is expanding, especially within the domain of intelligent technologies. Scene unde...
Editorial: Bio A.I. - from embodied cognition to enactive robotics
Editorial: Bio A.I. - from embodied cognition to enactive robotics
"The Brain-is wider than the Sky-For-put them side by side-The one the other will contain With ease-and You-beside-Th...
Prioritized experience replay in path planning via multi-dimensional transition priority fusion
Prioritized experience replay in path planning via multi-dimensional transition priority fusion
IntroductionDeep deterministic policy gradient (DDPG)-based path planning algorithms for intelligent robots struggle to di...
Neurorobotic reinforcement learning for domains with parametrical uncertainty
Neurorobotic reinforcement learning for domains with parametrical uncertainty
Neuromorphic hardware paired with brain-inspired learning strategies have enormous potential for robot control. Explicitly...
E2VIDX: improved bridge between conventional vision and bionic vision
E2VIDX: improved bridge between conventional vision and bionic vision
Common RGBD, CMOS, and CCD-based cameras produce motion blur and incorrect exposure under high-speed and improper lighting...
Editorial: Engineering applications of neurocomputing, volume II
Editorial: Engineering applications of neurocomputing, volume II
Inspired by how the human brain works, neurocomputing algorithms, including deep learning, reinforcement learning, and neu...
Corrigendum: Ring attractor bio-inspired neural network for social robot navigation
Corrigendum: Ring attractor bio-inspired neural network for social robot navigation
\subsection*.}} \vspace\subsection*In the published article, there was an error in the article title. Instead of "\te...
Editorial: Wearable Robotics in the Rehabilitation Continuum of Care: Assessment, Treatment and Home Assistance
Editorial: Wearable Robotics in the Rehabilitation Continuum of Care: Assessment, Treatment and Home Assistance
Care: Assessment, Treatment and Home Assistance 12 Global population aging is posing long-term challenges to societal welf...
An autonomous mobile robot path planning strategy using an enhanced slime mold algorithm
An autonomous mobile robot path planning strategy using an enhanced slime mold algorithm
IntroductionAutonomous mobile robot encompasses modules such as perception, path planning, decision-making, and control. A...
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