A5103132941- Soft Robotics and Applications
- Micro and Nano Robotics
- Advanced Materials and Mechanics
- Hydraulic Fracturing and Reservoir Analysis
- Smart Agriculture and AI
- Educational and Technological Research
- Educational Technology and Pedagogy
- Coal Properties and Utilization
- Text and Document Classification Technologies
- Advanced Sensor and Energy Harvesting Materials
- Remote Sensing and Land Use
- Hydrocarbon exploration and reservoir analysis
- Modular Robots and Swarm Intelligence
Shanghai Jiao Tong University
2024
Southwest Petroleum University
2024
China Rural Technology Development Center
2023
Incorporating soft actuation with yet durable textiles could effectively endow the latter active and flexible shape morphing motion like mollusks plants. However, creating highly programmable customizable robots based on faces a longstanding design manufacturing challenge. Here, we report methodology of encoded sewing constraints for efficiently constructing three-dimensional (3D) textile through simple 2D process. By encoding heterogeneous stretching properties into three spatial seams...
Abstract Reconfigurable soft robots exhibit superior flexibility and adaptability when coping with complex environments variable tasks. However, conventional modular design strategy based on actuator modules specific structure actuation mode as the basic constructing element for reconfigurable always has limited reprogrammability or scalability. Here, a hierarchical is reported that not only offers module reconfiguration first level to build different robot prototypes, but also provides...
The continuous development of robot technology has made phenotype detection robots a key for extracting and analyzing phenotyping data in agriculture forestry. different applications agricultural were discussed this article. Further, the structural characteristics information interaction modes current summarized from viewpoint publications with keywords related to clustering distribution analyzed currently available classified. Additionally, conclusion on design criteria evaluation system...
Abstract Soft material‐based robots, known for their safety and compliance, are expected to play an irreplaceable role in human‐robot collaboration. However, this expectation is far from real industrial applications due complex programmability poor motion precision, brought by the super elasticity large hysteresis of soft materials. Here, a collaborative robot (Soft Co‐bot) with intuitive easy programming contact‐based drag teaching, also exceptional repeatability (< 0.30% body length)...
Abstract Accurate prediction of Three-Pressure data in geological formations can assist determining drilling fluid design, wellbore stability assessment, and optimization parameters, thereby reducing the probability risks. Conventional methods for predicting triplet pressure often involve complex calculations, numerous empirical low accuracy, limited universality, a certain degree lag. Therefore, there is an urgent need new that are efficient, simple, accurate formations. To address...
Recommendation systems have become an important solution to information search problems. This article proposes a neural matrix factorization recommendation system model based on the multimodal large language called BoNMF. combines BoBERTa's powerful capabilities in natural processing, ViT computer vision, and decomposition technology. By capturing potential characteristics of users items, after interacting with low-dimensional composed user item IDs, network outputs results. recommend. Cold...