A5100394384- Robotic Path Planning Algorithms
- Robotics and Sensor-Based Localization
- Infrastructure Maintenance and Monitoring
- Seismic Performance and Analysis
- Vibration Control and Rheological Fluids
- Reinforcement Learning in Robotics
- Total Knee Arthroplasty Outcomes
- Fluid Dynamics and Vibration Analysis
- Non-Destructive Testing Techniques
- Diabetes and associated disorders
- Advanced Surface Polishing Techniques
- Modular Robots and Swarm Intelligence
- Advanced machining processes and optimization
- Osteoarthritis Treatment and Mechanisms
- Space Satellite Systems and Control
- Autoimmune and Inflammatory Disorders Research
- Shoulder and Clavicle Injuries
- Asphalt Pavement Performance Evaluation
- Geophysical Methods and Applications
- Structural Behavior of Reinforced Concrete
- Image Processing and 3D Reconstruction
- Diabetes Treatment and Management
- Rock Mechanics and Modeling
- Spacecraft and Cryogenic Technologies
- Cardiac, Anesthesia and Surgical Outcomes
Huazhong University of Science and Technology
2022-2025
Union Hospital
2022-2025
Xi'an University of Technology
2024
Osteoarthritis (OA) is an inflammatory disease accompanied by synovial joint inflammation, and IL-36 plays important role in this process. Local application of receptor antagonist (IL-36Ra) can effectively control the response, thereby protecting cartilage slowing down development OA. However, its limited fact that it rapidly metabolized locally. We designed prepared a temperature-sensitive poly(lactic-co-glycolic acid)–poly(ethylene glycol)–poly(lactic-co-glycolic acid) (PLGA-PEG-PLGA)...
Hemophagocytic lymphohistiocytosis (HLH) is a life-threatening hyperinflammatory syndrome. Complement component 3 (C3), central effector molecule in three separate complement pathways, has been linked to inflammatory diseases. Hence, we aimed investigate the clinical significance of C3 adult HLH. In this study, our retrospective cohort involved patients meeting ≥5 8 HLH-2004 criteria were classified as HLH group (n=627), while those <5 partial (n=588). was significantly lower compared...
Individuals with frailty are at increased risk of type 2 diabetes (T2D), but the underlying mechanisms unclear. We aimed to investigate whether frailty-T2D association is mediated by alterations in metabolome and assess potential interaction genetic susceptibility diabetes. This retrospective analysis, using data from a large prospective population-based cohort, included total 197,502 adults baseline metabolomics UK Biobank. Frailty was defined Fried phenotype according five components....
We demonstrate an optical underwater acoustic sensor with high sensitivity and broad bandwidth (10 Hz to 100 kHz), based on the packaged microbubble whispering gallery mode resonator, for first time. The pressure level is as −159.3 dB re 1 V/μPa at kHz that benefits from Q-factor low refractive index (RI) polymer cladding. corresponding noise equivalent (NEP) 66.8 μPa/Hz <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1/2</sup> , which...
ABSTRACT The challenging characteristics of earthwork environments—complex, unstructured, and constantly evolving—pose significant challenges for the path planning automated machinery. Recent advancements in artificial intelligence (AI) technology have opened new avenues to address these challenges, which are crucial improving level However, there is a notable lack comprehensive analyses on AI‐based operations. Consequently, we provide systematic review four AI technologies currently...
Artificial intelligence technology is receiving more and attention in structural health monitoring. Fatigue crack detection steel box girders long-span bridges an important challenging task. This paper presents a semantic segmentation network model for this task based on DeepLabv3+, ResNet50, active learning. Specifically, the classification ResNet50 re-tuned using image dataset. Secondly, with as backbone network, was constructed which trained assistance of Finally, optimization probability...
With the complexity of application scenarios, higher performance requirements are imposed for autonomous navigation ability mobile robots. This paper proposes a Q-learning path planning method to achieve collision-free motion robot in an unknown environment. An improved algorithm is firstly designed by using unfixed reward function, expanded action space, and dynamic parameters order get optimized path. The convergence reinforced combining gravity function artificial potential field deep...
Obstacle avoidance is essential for mobile robot when applying to dynamic scenarios. Existing methods that based on deep reinforcement learning (DRL) use the position information as environment states and neural network input train in a low efficiency manner, because unable indicate obstacle’s motion trend. To address this problem, paper proposes new motion-prediction-based obstacle method robots DRL. The of obstacles time domain used construct trend vector, together with other state factors...
Autonomous mapless navigation is a significant problem for autonomous robots when the entire environment unknown. In recent years, an increasing number of methods based on deep reinforcement learning have been used navigation. However, some these are closely tied to training environment, making it difficult them be generalized environments. Moreover, researchers often confused by easily getting trapped in local optimum zone. To address issues, this paper proposes method that 1) takes...