Results 141 to 150 of about 923,447 (235)

Heteroleptic Ag(I) Complexes Bearing Benzothiazole and Benzoxazole Ligands for Orange‐Red Light‐Emitting Electrochemical Cells

Advanced Optical Materials, EarlyView.
Light‐emitting Electrochemical Cells (LECs) are appealing electroluminescent devices with potential application in low‐cost, large‐area display technology and disposable devices. In the manuscript, a novel family of bright photo‐ and electro‐active heteroleptic silver(I) is presented and comprehensively investigated.
Valerio Giuso, Jing‐Yuan Zhuang, Christophe Gourlaouen, Cristina Cebrián, Hai‐Ching Su, Matteo Mauro   +5 more
wiley   +1 more source

Dynamic Fluorescence Modulation via Light‐Driven Competitive Protonation

Advanced Optical Materials, EarlyView.
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, Moritz E. Kleybolte, Colin van Dyck, Sergey I. Vagin, Preeti Gahtori, Antonio Scarpati, Razieh Firouzihaji, Diogo A. Galico, Ulrich S. Schubert, Julianne Gibbs, Alkiviathes Meldrum   +10 more
wiley   +1 more source

Scalable Task Planning via Large Language Models and Structured World Representations

Advanced Robotics Research, EarlyView.
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari, Zhaoting Li, Robert Babuška, Jens Kober, Cosimo Della Santina   +4 more
wiley   +1 more source

Information Transmission Strategies for Self‐Organized Robotic Aggregation

Advanced Robotics Research, EarlyView.
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng, Zihan Li, Yifeng Shao, Jinhao Liu, Li Yu, Shuguang Li   +5 more
wiley   +1 more source

Editorial: Rethinking the embodiment of language: challenges and future horizons. [PDF]

Front Psychol
Cuccio V, Montalti M, Shtyrov Y, Gallese V.   +3 more
europepmc   +1 more source

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

Advanced Robotics Research, EarlyView.
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

Caloric content and industrial processing modulate the mental simulation of food concepts. [PDF]

Psychol Res
Gentili S, Collantoni E, Meregalli V.
europepmc   +1 more source

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

Advanced Robotics Research, EarlyView.
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, Ali Umut Kaypak, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami   +4 more
wiley   +1 more source

Differentiated memory and scientific cognition in AI research agents. [PDF]

Front Big Data
Cuadros DF, Maiga AA, Thatham S, Ortiz A, Powers-Fletcher M, Tang M.   +5 more
europepmc   +1 more source

Improving the Robustness of Visual Teach‐and‐Repeat Navigation Using Drift Error Correction and Event‐Based Vision for Low‐Light Environments

Advanced Robotics Research, EarlyView.
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley   +1 more source