Adaptive Identification and Optimization of Ill-Posed Regions for Accurate Stereo Matching Research Background and Motivation With the rapid development of computer vision technology, stereo matching technology has played a crucial role in various fields such as robotics, aerospace, autonomous driving, and industrial manufacturing due to its high a...
Federated Learning Using Model Projection for Multi-Center Disease Diagnosis Background Introduction With the rapid development of medical imaging technology, research on automated diagnostic methods has shown good performance on single-center datasets. However, these methods often find it difficult to generalize to data from other healthcare facil...
Adaptive Sampling Artificial-Actual Control for Non-Zero-Sum Games of Constrained Systems Background In modern industrial and scientific research fields, the rapid development of intelligent technology and control systems makes traditional control methods difficult to meet the strict requirements of ensuring system stability and minimizing energy c...
Multi-Scale Vision-Centric Multi-Modal Neural Machine Translation: Text-Aware Cross-Modality Contrastive Decoupling Academic Background Multi-Modal Neural Machine Translation (MNMT) aims to incorporate language-independent visual information into text to enhance machine translation performance. However, due to the significant modal differences betw...
Fully Neuromorphic Visual and Control Autonomous Aerial Vehicle Background and Research Motivation Over the past decade, deep artificial neural networks (ANNs) have made significant advancements in the field of artificial intelligence, particularly in visual processing. However, these advanced visual processing technologies, despite achieving high ...
Deep Reinforcement Learning Empowers Agile Soccer Skills for Bipedal Robots Background Introduction One of the long-term goals of artificial intelligence (AI) research is to enable agents to exhibit agility, flexibility, and understanding in the physical world. However, animals and humans not only smoothly complete complex physical actions but also...
Autonomous Navigation and Walking Wheel-Leg Robot Background Introduction The acceleration of urbanization has posed significant challenges for supply chain logistics, especially for last-mile delivery. As traffic pressure increases and the demand for faster delivery services rises, particularly with complex routes indoors and on city streets, trad...
Stereoscopic Artificial Compound Eyes for Spatiotemporal Perception in Three-Dimensional Space This research article was published on May 15, 2024, in the journal Science Robotics, titled “Stereoscopic Artificial Compound Eyes for Spatiotemporal Perception in Three-Dimensional Space.” The first author is Byungjoon Bae, and the corresponding author ...
Real-World Humanoid Robot Walking Based on Reinforcement Learning Background Introduction Humanoid robots have enormous potential for autonomous operation in diverse environments, not only alleviating labor shortages in factories but also assisting elderly people at home and exploring new planets. Although classical controllers show excellent effec...
Ultra-wide Field-of-view Pinhole Compound Eye Based on Hemispherical Nanowire Array for Robotic Vision In the rapid development of contemporary artificial intelligence and robotics technology, the visual system, as a crucial component, has attracted widespread attention and in-depth research. According to a research paper published by Zhou et al. o...