674069 event 1712673056 1712674520 <![CDATA[ARM Lunch, Learn, Engage | Generalizable Robotics in Lab Automation]]> Professor Animesh Garg (COC) will lead a discussion around how the advent of language- and image-based foundation models promises to solve long standing challenges in robotics such as general-purpose perception and reasoning. This new capability has accelerated the autonomy of robotics, and as a result these systems are increasingly viable for flexible automation in scientific labs. We will present a framework for robot planning with visual feedback in the loop to solve open world reasoning. Further, we will present an integrated system, ORGANA, for interactive chemistry lab automation. 

 

Autonomous Research for Materials (ARM) is an Institute for Materials (IMat) Strategic Initiative seeking to connect and engage researchers in materials science, data sciences, and robotics to form partnerships that advance autonomous experimentation and self-driving laboratories. Inquiries about the ARM initiative should be directed to Mark Losego at losego@gatech.edu. 

]]> Featuring Animesh Garg, Georgia Tech College of Computing

]]> Mark Losego

]]> <![CDATA[]]> https://gatech.co1.qualtrics.com/jfe/form/SV_1TFesq5ELVUN0nY 217141 197261 1795 186870