Electrochemistry‐Enabled Optical and Plasmonic Programmable Metasurfaces
Electrochemistry is emerging as a promising approach for engineering optical and plasmonic metasurfaces, from the fabrication of nanoscale structures to their dynamic control. This Perspective reviews electrochemical strategies for creating and tuning metasurfaces, examines current challenges and opportunities, and discusses how integration with ...
Charlène Brissaud, Leonardo Scarabelli
wiley +1 more source
Efficient impedance source-based high voltage gain converter with smooth input current. [PDF]
Hajilou M, Farzanehfard H.
europepmc +1 more source
Scalable Task Planning via Large Language Models and Structured World Representations
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 +4 more
wiley +1 more source
Low-Noise Direct Denoising Sampling for DPM++ Samplers with Denoised Outputs. [PDF]
Liang Z, Wang J.
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
Grid-tied Transformer-less Boost Switched Capacitor Topology (TLBSCT) for PV applications. [PDF]
Samantara S +5 more
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
Coupled inductor and switched capacitor hybrid interleaved parallel high gain converter. [PDF]
Hou Y, Rong D, Sun X, Lin Z.
europepmc +1 more source
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek +3 more
wiley +1 more source
Echinoderm‐Inspired Autonomy for Soft‐Legged Robots
Inspired by echinoderms, a modular soft robot achieves autonomous phototaxis without a central controller or explicit communication. Each limb independently adapts its actuation timing through local sensing and short‐term memory. Coordination emerges purely from physical interactions, demonstrating resilience to changes in morphology, environment, and ...
Harmannus A. H. Schomaker +2 more
wiley +1 more source

