Pour me a drink: Robotic Precision Pouring Carbonated Beverages into Transparent Containers
Feiya Zhu, Shuo Hu, Letian Leng, Alison Bartsch, Abraham George, Amir, Barati Farimani

TL;DR
This paper introduces an autonomous robotic system capable of precisely pouring various liquids, including carbonated beverages, into different containers using only RGB vision and integrating ChatGPT for user interaction.
Contribution
The work presents a zero-shot, vision-based pouring pipeline that handles diverse liquids and containers without additional training, enhanced by ChatGPT for user-friendly operation.
Findings
Successfully pours multiple beverage types into various containers
Achieves high accuracy using only RGB input and pre-trained segmentation models
Demonstrates seamless human-robot interaction via ChatGPT
Abstract
With the growing emphasis on the development and integration of service robots within household environments, we will need to endow robots with the ability to reliably pour a variety of liquids. However, liquid handling and pouring is a challenging task due to the complex dynamics and varying properties of different liquids, the exacting precision required to prevent spills and ensure accurate pouring, and the necessity for robots to adapt seamlessly to a multitude of containers in real-world scenarios. In response to these challenges, we propose a novel autonomous robotics pipeline that empowers robots to execute precision pouring tasks, encompassing both carbonated and non-carbonated liquids, as well as opaque and transparent liquids, into a variety of transparent containers. Our proposed approach maximizes the potential of RGB input alone, achieving zero-shot capability by harnessing…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsModular Robots and Swarm Intelligence · Robotics and Sensor-Based Localization · Soft Robotics and Applications
