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Accelerating Laboratory Automation Through Robot Skill Learning For Sample Scraping
Motivated by how human chemists carry out this process of scraping powder from vials, our work proposes a model-free reinforcement learning method for learning a scraping policy, leading to a fully autonomous sample scraping procedure.
SOLIS: Autonomous Solubility Screening using Deep Neural Networks
This can result in researchers spending a significant amount of their time on repetitive tasks, which introduces errors and can prohibit production of statistically relevant data.
At Your Service: Coffee Beans Recommendation From a Robot Assistant
From this, we propose how this computational model can be deployed on a service robot to reliably predict customers' coffee bean preferences, starting from the user inputting their coffee preferences to the robot recommending the coffee beans that best meet the user's likings.
