2022

Chemistry Lab Automation via Constrained Task and Motion Planning

Yoshikawa, Naruki, Li, Andrew Zou, Darvish, Kourosh et al.

Understand

Chemists need to perform many laborious and time-consuming experiments in the lab to discover and understand the properties of new materials.

To support and accelerate this process, we propose a robot framework for manipulation that autonomously performs chemistry experiments.
Our framework receives high-level abstract descriptions of chemistry experiments, perceives the lab workspace, and autonomously plans multi-step actions and motions.
The robot interacts with a wide range of lab equipment and executes the generated plans.

Built on

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