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ProgPrompt: program generation for situated robot task planning using large language models
Task planning can require defining myriad domain knowledge about the world in which a
robot needs to act. To ameliorate that effort, large language models (LLMs) can be used to …
robot needs to act. To ameliorate that effort, large language models (LLMs) can be used to …
Augmented behavioral annotation tools, with application to multimodal datasets and models: A systematic review
E Watson, T Viana, S Zhang - AI, 2023 - mdpi.com
Annotation tools are an essential component in the creation of datasets for machine learning
purposes. Annotation tools have evolved greatly since the turn of the century, and now …
purposes. Annotation tools have evolved greatly since the turn of the century, and now …
An overview of diagnostics and therapeutics using large language models
There is an acute need for solutions to treat stress and trauma–related sequelae, and there
are well‐documented shortages of qualified human professionals. Artificial intelligence (AI) …
are well‐documented shortages of qualified human professionals. Artificial intelligence (AI) …
[HTML][HTML] The Future of Intelligent Healthcare: A Systematic Analysis and Discussion on the Integration and Impact of Robots Using Large Language Models for …
The potential use of large language models (LLMs) in healthcare robotics can help address
the significant demand put on healthcare systems around the world with respect to an aging …
the significant demand put on healthcare systems around the world with respect to an aging …
[HTML][HTML] Applying Large Language Model to a Control System for Multi-Robot Task Assignment
W Zhao, L Li, H Zhan, Y Wang, Y Fu - Drones, 2024 - mdpi.com
The emergence of large language models (LLMs), such as GPT (Generative Pre-trained
Transformer), has had a profound impact and brought about significant changes across …
Transformer), has had a profound impact and brought about significant changes across …
[HTML][HTML] Discrete Space Deep Reinforcement Learning Algorithm Based on Support Vector Machine Recursive Feature Elimination
C Kim - Symmetry, 2024 - mdpi.com
Algorithms for training agents with experience replay have advanced in several domains,
primarily because prioritized experience replay (PER) developed from the double deep Q …
primarily because prioritized experience replay (PER) developed from the double deep Q …
Open-vocabulary predictive world models from sensor observations
R Karlsson, R Asfandiyarov, A Carballo… - Sensors (Basel …, 2024 - pmc.ncbi.nlm.nih.gov
Cognitive scientists believe that adaptable intelligent agents like humans perform spatial
reasoning tasks by learned causal mental simulation. The problem of learning these …
reasoning tasks by learned causal mental simulation. The problem of learning these …
[HTML][HTML] Effects of Large Language Model–Based Offerings on the Well-Being of Students: Qualitative Study
R Selim, A Basu, A Anto, T Foscht… - JMIR Formative …, 2024 - formative.jmir.org
Background In recent years, the adoption of large language model (LLM) applications, such
as ChatGPT, has seen a significant surge, particularly among students. These artificial …
as ChatGPT, has seen a significant surge, particularly among students. These artificial …
Creativity, embodiment, and COVID-19: Discovering new research horizons under methodological and environmental constraints
A Gubenko - Possibility Studies & Society, 2024 - journals.sagepub.com
COVID-19 has been a powerful reminder of the role that our bodies and physical context
play in our lives. The pandemic revealed that human embodiment and many ways creative …
play in our lives. The pandemic revealed that human embodiment and many ways creative …
Responsive Bodies: Robots, Ai, and the Question of Human Distinctiveness
S Balle, U Nissen - Zygon®, 2023 - Wiley Online Library
In this article, we argue two points in relation to the challenge to human distinctiveness
emerging as artificial intelligence systems and humanlike robots simulate various human …
emerging as artificial intelligence systems and humanlike robots simulate various human …