LLMs can generate robotic scripts from goal-oriented instructions in biological laboratory automation
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 …
activities by humans, including those in the life sciences. However, computer programs to …
[HTML][HTML] Large language models for chemistry robotics
This paper proposes an approach to automate chemistry experiments using robots by
translating natural language instructions into robot-executable plans, using large language …
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) …
represent a major step towards the automation of science. Large Language Models (LLMs) …
ORGANA: A Robotic Assistant for Automated Chemistry Experimentation and Characterization
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 …
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
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 …
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 …
a challenging problem. Although large language models have shown promising results in …
[PDF][PDF] Can Large Language Models design a Robot?
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 …
Models (LLMs)[1], are revolutionizing the field of robotics, providing robots with the ability to …
Creative robot tool use with large language models
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 …
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
We demonstrate experimental results with LLMs that address robotics action planning
problems. Recently, LLMs have been applied in robotics action planning, particularly using …
problems. Recently, LLMs have been applied in robotics action planning, particularly using …
LLMs in the Imaginarium: tool learning through simulated trial and error
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 …
take consequential actions in external environments. Existing work on tool-augmented LLMs …