Results 121 to 130 of about 15,571 (234)
A maskless, SLM‐driven approach enables the deterministic inscription of arbitrary topographical features in azopolymer films by mapping complex vectorial light fields onto local viscoplastic stress. This platform allows for the rapid generation and dynamic erasure of high‐aspect‐ratio micro‐spikes, offering a versatile tool for reconfigurable flat ...
Jonas Strobelt +3 more
wiley +1 more source
Blockchain and Internet of Medical Things for Resilient Healthcare. [PDF]
Di Grezia G +8 more
europepmc +1 more source
Information-Centric Networking (ICN) is a transformative communication paradigm that emphasizes content retrieval by name rather than host-based addressing, aiming to overcome limitations of the traditional IP-based Internet.
Ibrahim, Qutaiba
core +1 more source
Dynamic Fluorescence Modulation via Light‐Driven Competitive Protonation
A two‐component molecular system demonstrates reversible, light‐driven fluorescence write–erase cycling and thermal imaging. Illumination of a merocyanine photoacid transfers a proton to a highly efficient fluorescent pyridinium dye, switching its emission color; thermal relaxation reverses the process in the dark.
Serena X. Liu +10 more
wiley +1 more source
An Embedded Multi-Sensor IoT Platform for Agricultural Monitoring Using Meshtastic-Based LoRa Communication and Cloud Microservices. [PDF]
Negulescu C +3 more
europepmc +1 more source
The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley +1 more source
Architectures, Protocols and Algorithms of Sensor Networks-Second Edition. [PDF]
Płaczek B.
europepmc +1 more source
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source
Distributed Artificial Intelligence for IoT Security: A Structured Review. [PDF]
Szymoniak S, Kubanek M.
europepmc +1 more source
Soft Actuators Integrated with Control and Power Units: Approaching Wireless Autonomous Soft Robots
Soft robots exhibit significant development potential in various applications. However, there are still key technical challenges regarding material improvement, structure design and components integration. This review focuses on the development and challenge of soft actuators, power components, and control components in untethered intelligent soft ...
Renwu Shi, Feifei Pan, Xiaobin Ji
wiley +1 more source

