Smart battery management in EVs using IoT, blockchain, and machine learning. [PDF]
Kavitha D, Sharmila B.
europepmc +1 more source
Here, we present a textile, wearable capacitive interface enabling multidirectional remote control by dynamically modulating electrode overlap and spacing via a freely gliding upper electrode. A forearm‐mounted prototype drives robotic and media tasks with 12–15 ms latency, maintains < 0.8% drift after 500 cycles, and remains stably functional at 90 ...
Cagatay Gumus +8 more
wiley +1 more source
Standards and Regulations for Battery Management Systems in Germany: Review and Improvement Potentials. [PDF]
Tadoum DD +6 more
europepmc +1 more source
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
wiley +1 more source
An exact solution for rest-period voltage relaxation in Li-ion batteries for applications on battery management systems. [PDF]
Bharathraj S, Adiga SP, Mayya KS.
europepmc +1 more source
3D‐Printing Aided Rapid Prototyping of Pretensioned Tensegrity Structures for Robotic Applications
Printing, injection molding, and assembly (PMA) is a method for rapid prototyping mesoscale, topologically complex, and tensioned tensegrity structures. In combination with PMA method, two mold design strategies: modular mold and compact channel layout, enable efficiency and scalability for tensegrity fabrication.
Yi Sun +3 more
wiley +1 more source
Synergizing physics and machine learning for advanced battery management. [PDF]
Borah M +4 more
europepmc +1 more source
Functional surfaces are investigated as a foundation for reconfigurable microscale systems with sensing and actuation capabilities. Advances in additive manufacturing enable our development of planar arrays of hybrid‐material, compliant microdevices that convert environmental stimuli into programmed motion and visual responses.
Sandra Edward +5 more
wiley +1 more source
Battery management in IoT hybrid grid system using deep learning algorithms based on crowd sensing and micro climatic data. [PDF]
Rajamani S, Ramasamy A.
europepmc +1 more source
From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures
This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley +1 more source

