Results 131 to 140 of about 1,125,186 (250)

Electrochemistry‐Enabled Optical and Plasmonic Programmable Metasurfaces

open access: yesAdvanced Optical Materials, EarlyView.
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

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

open access: yesAdvanced 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   +4 more
wiley   +1 more source

ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products

open access: yesAdvanced Robotics Research, EarlyView.
Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar   +8 more
wiley   +1 more source

Conservative Extensions in Modal Logic

open access: yes, 2006
Every normal modal logic L gives rise to the consequence relation \phi |=L \psi which holds if, and only if, \psi is true in a world of an L-model whenever \phi is true in that world. We consider the following algorithmic problem for L. Given two modal
S. Ghilardi   +7 more
core   +2 more sources

Modal Logic, Probability and Machine Learning Systems for Metadata Extraction

open access: yesRatio Mathematica
Artificial intelligence, since its inception, has had two major subfields, namely: logical reasoning and machine learning. Despite this, the interactions between these two fields have been relatively limited.
Simone Cuconato
doaj   +1 more source

Liquid Crystalline Elastomers in Soft Robotics: Assessing Promise and Limitations

open access: yesAdvanced Robotics Research, EarlyView.
Liquid crystalline elastomers (LCEs) are programmable soft materials that undergo large, anisotropic deformation in response to external stimuli. Their molecular alignment encodes directional actuation in a monolithic structure, making them long‐standing candidates for soft robotic systems.
Justin M. Speregen, Timothy J. White
wiley   +1 more source

On Combining Intuitionistic and S4 Modal Logic

open access: yesBulletin of the Section of Logic
We address the problem of combining intuitionistic and S4 modal logic in a non-collapsing way inspired by the recent works in combining intuitionistic and classical logic.
João Rasga, Cristina Sernadas
doaj   +1 more source

Explicit non-normal modal logic

open access: yes
Faroldi argues that deontic modals are hyperintensional and thus traditional modal logic cannot provide an appropriate formalization of deontic situations.
Studer, Thomas, Rohani, Atefeh
core   +1 more source

Origami‐Inspired Structural Design for Aquatic‐Terrestrial Amphibious Robots

open access: yesAdvanced Robotics Research, EarlyView.
This work presents a lightweight amphibious origami robot actuated by a single shape memory alloy wire. A rigid foldable origami structure with displacement amplification enables efficient terrestrial crawling and aquatic swimming. The addition of fan‐shaped units allows controllable turning in both environments.
Weiqi Liu   +5 more
wiley   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

open access: yesAdvanced Robotics Research, EarlyView.
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

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