Results 101 to 110 of about 2,709,471 (316)

Material Preparation Information File (MPIF): A Community‐Driven Standard for Reporting MOF Syntheses

open access: yesAdvanced Materials, EarlyView.
The Material Preparation Information File (MPIF) establishes a universal, community‐driven format for documenting the synthesis of metal–organic frameworks and related materials. By capturing complete, machine‐readable synthesis and characterization details, MPIF enhances reproducibility, supports FAIR data sharing, and bridges experimental chemistry ...
Ocean Cheung   +10 more
wiley   +1 more source

Transferable Semi-supervised Semantic Segmentation

open access: yes, 2018
The performance of deep learning based semantic segmentation models heavily depends on sufficient data with careful annotations. However, even the largest public datasets only provide samples with pixel-level annotations for rather limited semantic ...
Feng, Jiashi   +4 more
core   +1 more source

Scalable Task Planning via Large Language Models and Structured World Representations

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

Overvejelser omkring princippperne for en syntaktisk-semantisk kontrastiv analyse af modalverberne i moderne engelsk og dansk

open access: yesHermes, 1988
The present paper deals with the principles of a syntactico-semantic constrastive analysis exemplified by the author's project concerning a semantic subcategorization of modality and a constrastive analysis has been established for the project along the ...
Karen M. Lauridsen
doaj   +1 more source

Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics

open access: yesAdvanced Robotics Research, EarlyView.
This review explores how flexible sensing technology and artificial intelligence (AI) significantly enhance human–machine interfaces in medical robotics. It highlights key sensing mechanisms, AI‐driven advancements, and applications in prosthetics, exoskeletons, and surgical robotics.
Yuxiao Wang   +5 more
wiley   +1 more source

Scene-Aware Deep Networks for Semantic Segmentation of Images

open access: yesIEEE Access, 2019
Scene classification and semantic segmentation are two important research directions in computer vision. They are widely used in the research of automatic driving and human–computer interaction.
Zhike Yi   +5 more
doaj   +1 more source

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

open access: yesAdvanced 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

Critical Foundations of the Contextual Theory of Mind [PDF]

open access: yes, 2011
The contextual mind is found attested in various usages of the term complement, in the background of Kant. The difficulties of Kant's intuitionism are taken up through Quine, but referential opacity is resolved as semantic presence in lived context.
antiquari(at)vodamail(dot)co(dot)za, Mr S.A. Orwin O'Dowd
core  

The Proposition Bank: An Annotated Corpus of Semantic Roles

open access: yesInternational Conference on Computational Logic, 2005
The Proposition Bank project takes a practical approach to semantic representation, adding a layer of predicate-argument information, or semantic role labels, to the syntactic structures of the Penn Treebank.
Martha Palmer   +2 more
semanticscholar   +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

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