HELIOS - Holistic Experiment Learning Intelligent Orchestration System

Sissi Feng, Yuchen Han, Yang Bai

Submission Type: I want my submission to be considered for poster only

Keywords: self-driving laboratory, multi-agent orchestration, meta-reinforcement learning, closed-loop experimentation, catalyst discovery

TL;DR: HELIOS is an agent-native orchestration framework for self-driving labs that decomposes closed-loop experimentation, enabling the system to improve not only the experiments it proposes but also the process by which it proposes them.

Confirmation Of Submission Requirements: I submit an abstract. It uses the template provided on the submission page and is no longer than 2 pages.

Submission Number: 325