Articles tagged with Intelligent Control
Researchers developed a multi-dimensional analysis model to understand self-driving vehicles' behavior, incorporating perceptual and behavioral intelligence. The model enables rigorous evaluation of interactive cognition abilities, supporting human-vehicle-friendly interaction and fostering public trust.
Researchers developed an all-flexible, self-cleaning smart window that fine-tunes solar gain in real time and protects against environmental contaminants. The device's multifunctionality could accelerate green building development and address climate change concerns.
A review article discusses the 'cartographic-level vector' concept to reconcile geometric fidelity and real-world cartographic specifications in remote sensing. The authors propose a unified rule set for extracting vectors that align with cartographic conventions.
Researchers are using machine learning to enable autonomous control of particle accelerators, opening up new possibilities for commissioning and operating high-power accelerators. The technology has been successfully applied to the CAFe2 superconducting segment, achieving global trajectory adaptive control.
A research team has developed an innovative intelligent control method for low-carbon operation of energy-intensive equipment, combining mechanism analysis with deep learning. The method achieved significant reductions in carbon emissions, while maintaining optimal operational efficiency and increasing product yield by up to 3.65%.
Researchers are working on EdgeRIC: Real-time radio access network intelligent control, aiming to enhance wireless communication and machine learning. The project involves developing intelligent systems that can adapt to changing conditions, prioritizing users and acquiring lower latency for applications.
A researcher developed a system to determine the pose of cooperative spacecraft using ToF cameras and reflector markers. The system consists of three steps: reflector detection, matching, and pose calculation, and was tested in experiments with high accuracy.
Researchers developed an intelligent FLC designer to create stable solar sail attitude control without a priori knowledge or excessive manual workload. The IFLCD uses neural network modelling and automatic design method to solve the black-box and time-varying control problem, making it suitable for unmanned and complicated systems.
Researchers developed algorithms that can predict volleyball players' actions with over 80% accuracy, combining visual data with hidden variables. The algorithms also showed promise in predicting multiple actions across sequences of up to 44 frames.
Biohybrid micro- and nanorobots promise to deliver drugs to body tissues with high precision, enabling tasks such as cancer treatment, cell microsurgery, and tissue engineering. Researchers envision incorporating novel biological components into robots to overcome immune responses and increase efficiency in manufacturing.
A team of UBC Okanagan researchers has developed a system to enhance interactions between humans and robots in industrial settings. The system uses artificial intelligence and machine learning to capture and analyze the environment, allowing robots to respond in a timely manner to ensure human safety.
Researchers at Beijing Institute of Technology created a robot that can track fast-moving rats for extended periods using real-time localization and movement analysis. The robotic rat's built-in stereo vision system enables it to characterize typical behaviors of actual rats, promoting autonomy and reproducibility in behavior research.
A team of mathematicians from the University of Averio combined past and future operators to create a new theory for fractional calculus, which can predict how variables change and react. This breakthrough has implications for various technologies and applications, including information exchange and automation.
Researchers created tools called disturbance observers using fractional calculus, which estimate and eliminate disturbances in systems. The new approach outperformed existing methods, particularly when combined to handle highly fluctuating disturbance signals.
The world is shifting towards Intelligent Technology, rethinking core principles of automation and Al to navigate an IT paradigm. The fifth era introduces a new control framework, bridging physical, mental, and augmented realities.
Researchers developed a control concept that reduces travel time by about a minute and waiting time by up to seven seconds, increasing intersections that can be passed without stops from 60% to almost 100%. A driver information system was also created to provide speed recommendations to vehicles, resulting in improved traffic flow.
The microchip industry is struggling to achieve precise timing as device dimensions and tolerances continue to shrink. To address this issue, NIST is supporting the development of time synchronization standards in collaboration with International SEMATECH's e-Manufacturing initiatives.