LLMs can generate robotic scripts from goal-oriented instructions in biological laboratory automation

T Inagaki, A Kato, K Takahashi, H Ozaki… - arXiv preprint arXiv …, 2023 - arxiv.org
The use of laboratory automation by all researchers may substantially accelerate scientific
activities by humans, including those in the life sciences. However, computer programs to …

[HTML][HTML] Large language models for chemistry robotics

N Yoshikawa, M Skreta, K Darvish… - Autonomous …, 2023 - Springer
This paper proposes an approach to automate chemistry experiments using robots by
translating natural language instructions into robot-executable plans, using large language …

BioPlanner: automatic evaluation of LLMs on protocol planning in biology

O O'Donoghue, A Shtedritski, J Ginger… - arXiv preprint arXiv …, 2023 - arxiv.org
The ability to automatically generate accurate protocols for scientific experiments would
represent a major step towards the automation of science. Large Language Models (LLMs) …

ORGANA: A Robotic Assistant for Automated Chemistry Experimentation and Characterization

K Darvish, M Skreta, Y Zhao, N Yoshikawa… - arXiv preprint arXiv …, 2024 - arxiv.org
Chemistry experimentation is often resource-and labor-intensive. Despite the many benefits
incurred by the integration of advanced and special-purpose lab equipment, many aspects …

Synergizing Human Expertise and AI Efficiency with Language Model for Microscopy Operation and Automated Experiment Design

Y Liu, M Checa, RK Vasudevan - Machine Learning: Science and …, 2024 - iopscience.iop.org
With the advent of large language models (LLMs), in both the open source and proprietary
domains, attention is turning to how to exploit such artificial intelligence (AI) systems in …

Errors are useful prompts: Instruction guided task programming with verifier-assisted iterative prompting

M Skreta, N Yoshikawa, S Arellano-Rubach, Z Ji… - arXiv preprint arXiv …, 2023 - arxiv.org
Generating low-level robot task plans from high-level natural language instructions remains
a challenging problem. Although large language models have shown promising results in …

[PDF][PDF] Can Large Language Models design a Robot?

F Stella, C Della Santina, J Hughes - arXiv preprint arXiv:2303.15324, 2023 - arxiv.org
Large Language Models can lead researchers in the design of robots. Large Language
Models (LLMs)[1], are revolutionizing the field of robotics, providing robots with the ability to …

Creative robot tool use with large language models

M Xu, P Huang, W Yu, S Liu, X Zhang, Y Niu… - arXiv preprint arXiv …, 2023 - arxiv.org
Tool use is a hallmark of advanced intelligence, exemplified in both animal behavior and
robotic capabilities. This paper investigates the feasibility of imbuing robots with the ability to …

Natural Language as Polices: Reasoning for Coordinate-Level Embodied Control with LLMs

Y Mikami, A Melnik, J Miura, V Hautamäki - arXiv preprint arXiv …, 2024 - arxiv.org
We demonstrate experimental results with LLMs that address robotics action planning
problems. Recently, LLMs have been applied in robotics action planning, particularly using …

LLMs in the Imaginarium: tool learning through simulated trial and error

B Wang, H Fang, J Eisner, B Van Durme… - arXiv preprint arXiv …, 2024 - arxiv.org
Tools are essential for large language models (LLMs) to acquire up-to-date information and
take consequential actions in external environments. Existing work on tool-augmented LLMs …