ProgPrompt: program generation for situated robot task planning using large language models

I Singh, V Blukis, A Mousavian, A Goyal, D Xu… - Autonomous …, 2023 - Springer
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 …

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 …

An overview of diagnostics and therapeutics using large language models

M Malgaroli, D McDuff - Journal of Traumatic Stress, 2024 - Wiley Online Library
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) …

[HTML][HTML] The Future of Intelligent Healthcare: A Systematic Analysis and Discussion on the Integration and Impact of Robots Using Large Language Models for …

S Pashangpour, G Nejat - Robotics, 2024 - mdpi.com
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 …

[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 …

[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 …

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 …

[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 …

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 …

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 …