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[HTML][HTML] Leveraging large language models for comprehensive locomotion control in humanoid robots design
This paper investigates the utilization of large language models (LLMs) for the
comprehensive control of humanoid robot locomotion. Traditional reinforcement learning …
comprehensive control of humanoid robot locomotion. Traditional reinforcement learning …
Large language models for artificial general intelligence (AGI): A survey of foundational principles and approaches
A Mumuni, F Mumuni - arxiv preprint arxiv:2501.03151, 2025 - arxiv.org
Generative artificial intelligence (AI) systems based on large-scale pretrained foundation
models (PFMs) such as vision-language models, large language models (LLMs), diffusion …
models (PFMs) such as vision-language models, large language models (LLMs), diffusion …
Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method
This paper investigates adaptive transmission strategies in embodied AI-enhanced
vehicular networks by integrating large language models (LLMs) for semantic information …
vehicular networks by integrating large language models (LLMs) for semantic information …
Programming manipulators by instructions
We propose an instructions-based approach for robot programming where the programmer
interacts with the robot by issuing simple commands in a scripting language, like python …
interacts with the robot by issuing simple commands in a scripting language, like python …
Many of Your DPOs are Secretly One: Attempting Unification Through Mutual Information
Post-alignment of large language models (LLMs) is critical in improving their utility, safety,
and alignment with human intentions. Direct preference optimisation (DPO) has become one …
and alignment with human intentions. Direct preference optimisation (DPO) has become one …
Enhancing Inference Performance of a Personalized Driver Assistance System through LLM Fine-Tuning and Quantization
G Song, J Lim, C Jeong… - … Conference on Electronics …, 2025 - ieeexplore.ieee.org
This paper presents a personalized driver assistance system based on fine-tuning a large
language model (LLM) using the Quantized Low-Rank Adaptation (QLoRA) method. The …
language model (LLM) using the Quantized Low-Rank Adaptation (QLoRA) method. The …
[PDF][PDF] Autonomous Generalist Scientist: Towards and Beyond Human-level Automatic Research Using Foundation Model-Based AI Agents and Robots (A Position)
S Zhang, A Pearson, Z Wang - researchgate.net
The accelerating pace of scientific research highlights the need for more efficient, accurate,
and comprehensive methodologies. Traditional research methods are often hindered by the …
and comprehensive methodologies. Traditional research methods are often hindered by the …