Results 121 to 130 of about 77,612 (245)

Career plans

open access: yes
Career development plans for all ESRs.
openaire   +1 more source

Breaking Optical Transparency and Electromagnetic Performance Trade‐Offs for Transparent Reflective Metasurfaces

open access: yesAdvanced Optical Materials, EarlyView.
A theory‐guided magnetoelectric metasurface design breaks the conventional optical transparency and electromagnetic performance trade‐offs. By preserving the electric and magnetic current paths required for efficient reflection through fine‐metal‐line structure, the developed transparent reflective metasurface achieves high optical transparency without
Mina Feizi   +5 more
wiley   +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

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

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

Home - About - Disclaimer - Privacy