Driving school for self-driving labs

Abstract

Self-driving labs benefit from occasional and asynchronous human interventions. We present a heuristic framework for how self-driving lab operators can interpret progress and make changes during a campaign.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jan 01, 2023
Source ID
10.1039/d3dd00150d

Entities

People

  • Keith A Brown
  • Kelsey L. Snapp

Organizations

  • Boston University
  • Division of Civil, Mechanical & Manufacturing Innovation
  • Google
  • Honeywell Federal Manufacturing and Technologies (United States)
  • National Science Foundation
  • United States Army Soldier Systems Center

Tags

Readers

  • Applied Combinatorial Optimization and Logic Circuit Design.
  • Robotics and Automation.