A5100450524- Robotic Path Planning Algorithms
- Coal Properties and Utilization
- High-Voltage Power Transmission Systems
- Transportation Planning and Optimization
- Vacuum and Plasma Arcs
- Reinforcement Learning in Robotics
- Transportation and Mobility Innovations
- Smart Grid and Power Systems
- Aerospace Engineering and Control Systems
- Tactile and Sensory Interactions
- Geomechanics and Mining Engineering
- Robotics and Sensor-Based Localization
- Coal and Its By-products
- Traffic Prediction and Management Techniques
- Hydrocarbon exploration and reservoir analysis
- Advanced Sensor and Energy Harvesting Materials
- Traffic control and management
- Maritime Navigation and Safety
- Archaeology and ancient environmental studies
- Spacecraft Dynamics and Control
- Digital Transformation in Industry
- High voltage insulation and dielectric phenomena
- Advanced Research in Science and Engineering
- Visual Attention and Saliency Detection
- Elevator Systems and Control
Stevens Institute of Technology
2023-2024
Xi'an University of Science and Technology
2023-2024
Ministry of Education of the People's Republic of China
2023-2024
University of Electronic Science and Technology of China
2023-2024
State Key Laboratory of Advanced Welding and Joining
2024
Shaanxi History Museum
2024
Southwest University
2024
University of Michigan
2023-2024
Harbin Institute of Technology
2024
Green Energy Engineering Consultancy (China)
2023
The perception of surface properties such as shape and slipperiness is crucial to ensure that the hand-held object stable. Without touch, precise manipulation becomes difficult. Some robotic tactile sensors use cameras observe elastic deformation a membrane detect edges or slippage contact. contact state drove innovative control strategies. However, previous methods on these lines do not include quantitative means measuring three-dimensional (3-D) skin suffer from lack spatial resolution....
Tunable photovoltaic photodetectors are of significant relevance in the fields programmable and neuromorphic optoelectronics. However, their widespread adoption is hindered by intricate architectural design energy consumption challenges. This study employs a nonvolatile MoTe2/hBN/graphene semi-floating photodetector to address these issues. Programed with pulsed gate voltage, MoTe2 channel can be reconfigured from an n+-n p-n homojunction, photocurrent transition changes negative positive...
The extensively studied Prussian blue analogs (PBAs) in various batteries are limited by their low discharge capacity, or subpar rate etc., which solely reliant on the cation (de)intercalation mechanism. In contrast to currently predominant focus cations, we report overlooked anion-cation competition chemistry (Cl
In deep underground mine engineering, the critical warning signals before sudden failure of coal are crucial to predict or rock dynamic catastrophes and help industry grow sustainably. Therefore, with objective accurately identifying precursor fracture, a uniaxial compression test was adopted. Tests were performed on multiple sets raw samples, acoustic emission (AE) technology used capture deformation destruction courses samples. Furthermore, signal intensity AE energy discussed. Based...
Simulating longitudinal data from specified marginal structural models is a crucial but challenging task for evaluating causal inference methods and designing clinical trials. While generation typically proceeds in fully conditional manner using equations according to temporal ordering, require capturing effects that are over time-dependent confounders, making it difficult align distributions with target quantities. To address this, we propose flexible efficient algorithm simulating adheres...
In Watanabe's textbook, a classical approximation result indicates that if solution exists to stochastic differential equation, then by an of the Wiener process, sequence deterministic equations with their corresponding solutions converges equation in probability. traditional theorem approximating do not contain spatial variable, but merely indexed time parameter. When consider each weak variable involved, we may be able directly apply this result. work, extend existing from textbook case...
Modular vehicles are a novel concept that allows for the coupling and decoupling of different vehicle modules enables in-motion passenger transfers; it can potentially increase flexibility transportation system. Recent studies have numerically highlighted potential using modular as transit buses to mitigate bus bunching phenomenon. Building upon this, our study offers comprehensive systematic analytical assessment bunching-proof capabilities associated with buses. Specifically, we examine...
The only way to perceive a small object held between our fingers is trust sense of touch. Touch provides cues about the state contact even if its view occluded by finger. interaction soft and surface reveals crucial information, such as local shape object, that plays central role in fine manipulation. In this work, we present new spherical sensor endows robots with distributed This an evolution tactile measures dense 3-dimensional displacement field elastic membrane, using subtractive...
Tactile sensing can provide access to information about the contact (i.e. slippage, surface feature, friction), which is out of reach vision but crucial for manipulation. To this information, a dense measurement deformation soft fingertips necessary. Recently, tactile sensors that rely on camera looking at deformable membrane have demonstrated possible. However, their manufacturing be time-consuming and labor-intensive. Here, we show new design method uses multi-color additive silicone...
In conventional thermocatalytic reactions under a reducing atmosphere, stabilization of the active Cu+ component and inhibition over-reduction into metallic Cu0 are extremely challenging. this study, Au@Cu2O core-shell nano-catalysts with different Cu2O shell thicknesses were synthesized, effect Au nano-core on stability atmosphere catalytic performance in ethynylation formaldehyde investigated. The facilitates dispersion leads to an increase 0.2-0.5 eV electron binding energies Cu2C2 range...
Autonomous navigation of Unmanned Surface Vehicles (USV) in marine environments with current flows is challenging, and few prior works have addressed the sensor-based problem such under no knowledge flow obstacles. We propose a Distributional Reinforcement Learning (RL) based local path planner that learns return distributions which capture uncertainty action outcomes, an adaptive algorithm automatically tunes level sensitivity to risk environment. The proposed achieves more stable learning...
Abstract The extensively studied Prussian blue analogs (PBAs) in various batteries are limited by their low discharge capacity, or subpar rate etc., which solely reliant on the cation (de)intercalation mechanism. In contrast to currently predominant focus cations, we report overlooked anion‐cation competition chemistry (Cl − , K + Zn 2+ ) stimulated high‐voltage scanning. With our designed combinations, KFeMnHCF cathode battery delivers comprehensively superior performance, including voltage...
The prokaryotic microorganism Mycoplasma gallisepticum (MG) belongs to the phylum Firmicutes, order Mycoplasmatales, family Mycoplasmataceae, and genus Mycoplasma. MG parasitizes respiratory tract of various poultry species, causing a range symptoms from indistinct features tracheitis air sacculitis. Common signs include infection indicators such as coughing, asthma, runny nose rales. Both domestic international reports underscore MG's transmission capacity, signifying its global importance...
Conflict detection and resolution (CDR) is one of the key points for civil aviation safety. State estimation trajectory prediction are important components a CDR system. This paper proposes new algorithm to accomplish these tasks. For state estimation, Kalman filter used provide accurate continuous estimates an adaptive model-transition protocol introduced track discrete flight models. Incorporating information, intent model determined by pretreatment probability method. Finally, future can...
Multistep traffic forecasting on road networks is a crucial task in successful intelligent transportation system applications. To capture the complex non-stationary temporal dynamics and spatial dependency multistep traffic-condition prediction, we propose novel deep learning framework named attention graph convolutional sequence-to-sequence model (AGC-Seq2Seq). In proposed framework, dependencies are modeled through Seq2Seq convolution network separately, mechanism along with newly designed...