Results 181 to 190 of about 16,624 (311)

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

Advanced 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, Ali Umut Kaypak, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami   +4 more
wiley   +1 more source

3D Printing of Soft Robotic Systems: Advances in Fabrication Strategies and Future Trends

Advanced Robotics Research, EarlyView.
Collectively, this review systematically examines 3D‐printed soft robotics, encompassing material selections, function integration, and manufacturing methodologies. Meanwhile, fabrication strategies are analyzed in order of increasing complexity, highlighting persistent challenges with proposed solutions.
Changjiang Liu, Bin Cui, Xumin Huang, Xiaoyu (Rayne) Zheng, T. Thang Vo‐Doan, Ruirui Qiao   +5 more
wiley   +1 more source

Data-efficient prediction in tableting using word embeddings and empirically-guided neural networks. [PDF]

Int J Pharm X
Abdelrahman N, Klinken-Uth S.
europepmc   +1 more source

Historical representations of social groups across 200 years of word embeddings from Google Books. [PDF]

Proc Natl Acad Sci U S A, 2022
Charlesworth TES, Caliskan A, Banaji MR.
europepmc   +1 more source

A Review on Sensor Technologies, Control Approaches, and Emerging Challenges in Soft Robotics

Advanced Robotics Research, EarlyView.
This review provides an introspective of sensors and controllers in soft robotics. Initially describing the current sensing methods, then moving on to the control methods utilized, and finally ending with challenges and future directions in soft robotics focusing on the material innovations, sensor fusion, and embedded intelligence for sensors and ...
Ean Lovett, Maxwell Hammond, Niloufar Seyfi, Amirreza Fahim Golestaneh, Venanzio Cichella, Caterina Lamuta   +5 more
wiley   +1 more source

Predicting drug-gene relations via analogy tasks with word embeddings. [PDF]

Sci Rep
Yamagiwa H, Hashimoto R, Arakane K, Murakami K, Soeda S, Oyama M, Zhu Y, Okada M, Shimodaira H.   +8 more
europepmc   +1 more source

Combining word embeddings to extract chemical and drug entities in biomedical literature. [PDF]

BMC Bioinformatics, 2021
López-Úbeda P, Díaz-Galiano MC, Ureña-López LA, Martín-Valdivia MT.   +3 more
europepmc   +1 more source

One Word Is Not Enough: Simple Prompts Improve Word Embeddings [PDF]

Ranjan, Rajeev
openalex  

Learning to Respond to Mixed-code Queries using Bilingual Word Embeddings

, 2019
Chia-Fang Ho, Jason S. Chang, Jhih-Jie Chen, Ching‐Yu Yang   +3 more
openalex   +1 more source

Word Embeddings as Tuples of Feature Probabilities

, 2020
Siddharth Bhat, Alok Debnath, Souvik Banerjee, Manish Shrivastava   +3 more
openalex   +1 more source