Results 141 to 150 of about 8,382,253 (346)

Selective Crystal Growth and Optical Responses of 2H and 3R Polytypes in van der Waals Polar Insulator α‐In2Se3

open access: yesAdvanced Optical Materials, EarlyView.
Selective growth protocols are established to obtain high‐quality bulk single crystals of the 2H and 3R polytypes of the vdW polar insulator α‐In2Se3, together with rapid, non‐destructive phase‐identification methods. Combined optical transmission and absolute reflectivity measurements, supported by DFT calculations, reveal distinct polytype‐dependent ...
Ryoga Murata, Takao Sasagawa
wiley   +1 more source

Multiobjective Codesign Optimization of a Planar Pneumatic Artificial Muscle‐Based Snake‐Like Robot for Enhanced Agility and Energy Efficiency

open access: yesAdvanced Robotics Research, EarlyView.
A codesign multiobjective optimization framework was developed to enhance the morphology and controller of a snake‐like robot driven by artificial muscles. It improved planar locomotion, agility, and power efficiency. The approach optimized link geometry and controller gains, revealing that shorter muscles near joints and longer linkages maximize ...
Ayla Valles, Mahdi Haghshenas‐Jaryani
wiley   +1 more source

Hard‐Magnetic Soft Millirobots in Underactuated Systems

open access: yesAdvanced Robotics Research, EarlyView.
This review provides a comprehensive overview of hard‐magnetic soft millirobots in underactuated systems. It examines key advances in structural design, physics‐informed modeling, and control strategies, while highlighting the interplay among these domains.
Qiong Wang   +4 more
wiley   +1 more source

Prompt-Contrastive Learning for Zero-Shot Relation Extraction. [PDF]

open access: yesEntropy (Basel)
Zhong X   +5 more
europepmc   +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

Sonia Escalante

open access: yesComillas Journal of International Relations, 2020
Comillas Journal of International Relations
doaj  

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