Results 61 to 70 of about 22,074,380 (291)

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

Advanced 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

Performance of a large language model in the informed consent process for participation in a clinical trial

npj Digital Medicine
The performance of large language models (LLMs) in the informed consent process for a randomized clinical trial (RCT) remains unknown. The objective of this proof-of-concept study was to evaluate whether a large language model constrained to trial ...
Rebeca Moscatel, Komal Aryal, David Chen, Allan S. Detsky, Kieran L. Quinn   +4 more
doaj   +1 more source

MRAC-LLM Toolbox: An interactive model reference adaptive control enhanced with large language models

SoftwareX
This paper presents the MRAC-LLM Toolbox, a MATLAB-based software that integrates classical Model Reference Adaptive Control (MRAC) with Large Language Model (LLM) assistance for interactive control system design.
Merve Nilay Aydın, Halil Ibrahim Okur, Handan Gürsoy-Demir, Kadir Tohma, Celaleddin Yeroğlu   +4 more
doaj   +1 more source

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

LLM-RS: A Large Language Model-Based Sequential Recommendation with Reasoning

Mathematics
Traditional sequential recommender systems have primarily relied on implicit pattern recognition in user interaction sequences, achieving strong performance but functioning as “black boxes” that lack transparent reasoning. This paper introduces LLM-RS, a
Ahmed M. Gadallah, Hesham A. Hefny, Mohammed E. Almandouh, Miled Tezeghdanti, Noaman M. Ali   +4 more
doaj   +1 more source

Reverse synthesis of natural language phrases grounding on their ontological representation using a large language model [PDF]

The presented article introduces a novel solution that uses a specially developed structured prompt for a large language model (Chat GPT). A series of experiments were carried out on synthesizing natural language phrases based on their ontological ...
Kaverynskyi, V.V., Litvin, A.A., Palagin, O.V.   +2 more
core  

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

Advanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source

LLM-PCGC: Large Language Model-based Point Cloud Geometry Compression [PDF]

The key to effective point cloud compression is to obtain a robust context model consistent with complex 3D data structures. Recently, the advancement of large language models (LLMs) has highlighted their capabilities not only as powerful generators for ...
Ye, Yuqi, Gao, Wei
core   +1 more source

An Enhanced, Lightweight Large Language Model-Driven Time Series Forecasting Approach for Air Conditioning System Cooling Load Forecasting

Mathematics
Accurate cooling load forecasting in high-efficiency chiller plants with ice storage systems is essential for intelligent control, energy conservation, and maintaining indoor comfort.
Cong Zhu, Yongkuan Yang, Haiping Chen, Miao Zeng   +3 more
doaj   +1 more source

LLM‐Integrated Human–Robot Interaction System for Microrobots

Advanced Robotics Research, EarlyView.
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley   +1 more source