James Cahoon — accepted AI-conference papers

2025

The Experiment Orchestration System (EOS): Comprehensive Foundation for Laboratory Automation

Angelos Angelopoulos, Cem Baykal, Jade Kandel, Matthew Verber, James Cahoon, Ron Alterovitz

ICRA 2025

As scientific research in chemistry, materials science, and applied sciences becomes increasingly complex and data-driven, there is a growing need for efficient, scalable, and flexible automation to accelerate discoveries and reduce human burden and error in laboratories. We introduce the Experiment

Cited by 1 Source ↗Scholar ↗

2023

High-Accuracy Injection Using a Mobile Manipulation Robot for Chemistry Lab Automation

Angelos Angelopoulos, Matthew Verber, Collin McKinney, James Cahoon, Ron Alterovitz

IROS 2023poster

Lab automation has the potential to accelerate scientific progress in the natural sciences, allowing tedious experiments that would require many hours of human time to be automated, enabling higher accuracy, efficiency, and repeatability. Mobile manipulation robots have the potential to work in chem…

Cited by 6 Source ↗Scholar ↗