- Robotics and Sensor-Based Localization
- Data Management and Algorithms
- Thermal Radiation and Cooling Technologies
- Traffic control and management
- Advanced Vision and Imaging
- Spaceflight effects on biology
- Advanced Photocatalysis Techniques
- Aluminum Alloys Composites Properties
- TiO2 Photocatalysis and Solar Cells
- Traffic Prediction and Management Techniques
- Optical measurement and interference techniques
- Antenna Design and Analysis
- Aerodynamics and Acoustics in Jet Flows
- Advanced Image Fusion Techniques
- Vibration and Dynamic Analysis
- Acoustic Wave Phenomena Research
- Aerospace Engineering and Energy Systems
- Metallurgical and Alloy Processes
- Robotics and Automated Systems
- Advanced Combustion Engine Technologies
- Time Series Analysis and Forecasting
- Autonomous Vehicle Technology and Safety
- Human Motion and Animation
- Machine Learning and Data Classification
- Concrete Properties and Behavior
Renmin University of China
2025
Heilongjiang University of Science and Technology
2022-2025
Delft University of Technology
2024
Contextual Change (United States)
2024
University of California, San Diego
2024
State Key Laboratory of Nonlinear Mechanics
2024
Civil Aviation University of China
2024
Chinese Academy of Sciences
2024
Tongji University
2023
Henan Forestry Vocational College
2023
We present GANimator, a generative model that learns to synthesize novel motions from single, short motion sequence. GANimator generates resemble the core elements of original motion, while simultaneously synthesizing and diverse movements. Existing data-driven techniques for synthesis require large dataset which contains desired specific skeletal structure. By contrast, only requires training on single sequence, enabling variety structures e.g., bipeds, quadropeds, hexapeds, more. Our...
The integration of Artificial Intelligence (AI) into Chinas New Energy Vehicle (NEV) industry presents both unprecedented opportunities and significant challenges. Through analyzing the present situation NEV market in China, this paper identifies key challenges posed by AI, proposes strategic countermeasures. Even though is growing rapidly, there are still a number obstacles that NEVs must overcome. Technologically, algorithms, computing power sensor fusion critical. Regulatory include...
Abstract MXene, a novel 2‐D material known for its exceptional conductivity and high hydrophilicity, holds significant promise in advancing supercapacitor technology. However, layered structure tends to self‐stack, hindering ion transport limiting specific capacitance. In this paper, nickel cobalt sulfide (NCS)/MXene self‐assembled microspheres were prepared by simple hydrothermal method. The introduction of NCS effectively mitigates MXene from self‐stacking, while providing abundant...
The excellent grain refinement effectiveness and good electrical conductivity is difficult to be simultaneously obtained due the influence of both boundary excessive Ti in usually used refiners, such as Al-5Ti-1B master alloy. In order solve this problem, work, Al-Ti-B mater alloys with less or without but high potency TiB2 have been tried prepare, them its on refined Al investigated. It found that prepared using Al-B starting materials at 720 °C much better than those Al-10Ti alloys, which...
The thermal performance of a novel exterior coating material for commonly used grain and food-grain oil structures was investigated. Grain included concrete squat silo warehouse while the edible structure sided tank. provided excellent moisture runoff solar reflectance properties is best described as superamphiphobic self-cleaning passive subambient daytime radiative cooling (SSC-PSDRC) coating. exhibited remarkable effect in various different climatic regions. Compared with roof surface...
We present SpaceAgents-1, a system for learning human and multi-robot collaboration (HMRC) strategies under microgravity conditions. Future space exploration requires humans to work together with robots. However, acquiring proficient robot skills adept conditions poses significant challenges within ground laboratories. To address this issue, we develop simulation environment three typical configurations of intra-cabin propose hierarchical heterogeneous multi-agent architecture: guided by...
Refraining from Lüders band deformation is crucial for the practical implementation of medium Mn steels, ensuring its surface quality and uniform capacity. Several techniques have been proposed to mitigate occurrence band. However, underlying dislocation-based mechanism elimination requires be fully elucidated. The effective in developed steel achieved by introducing a high dislocation density, particular austenite grains. This approach can significantly enhance abundance sources, which...
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Abstract A rotor aeroacoustic calculation model of the in forward flight based on CAMRAD II and FW-H equation was established, which can involve blade elastic deformation. used to calculate actual motion rotor’s unsteady aerodynamic load model. The dynamics module noise program replaced consider deformation equation. characteristics a full scale were researched. research shows that has obvious torsion flap little effect directivity flight. In main propagation direction, affects loading...
Since conventional eco approach systems can only achieve longitudinal automation, they may be disabled due to the impedance of slow-moving vehicle. In addition, could sacrifice a lot in travel time and it is hard control articulated truck with complex dynamic model. This research presents an enhanced system for connected automated trucks, able to: (i) overtake vehicles sustainability mobility; (ii) efficiently optimize duration approaching signalized intersection; (iii) trade-off between...
While High Definition (HD) Maps have long been favored for their precise depictions of static road elements, accessibility constraints and susceptibility to rapid environmental changes impede the widespread deployment autonomous driving, especially in motion forecasting task. In this context, we propose leverage OpenStreetMap (OSM) as a promising alternative HD long-term forecasting. The contributions work are threefold: firstly, extend application OSM long-horizon forecasting, doubling...
The fusion of 3D LiDAR and colour cameras requires the most accurate possible calibration external parameters. In this paper, we reduce edge errors by selecting planar feature constraints. A new calibrator is used in execution our approach. checkerboard board to firstly solve camera's internal Next, a regular pyramid with on three sides as scan, extract intersection four planes points, finally parameters camera registering points. addition, method collects processes multiple sets data...