Chau Do

2 accepted papers

2018

Learning to Pour using Deep Deterministic Policy Gradients

Chau Do, Camilo Gordillo, Wolfram Burgard

IROS 2018poster

Pouring is a fundamental skill for robots in both domestic and industrial environments. Ideally, a robot should be able to pour with high accuracy to specific, pre-defined heights and without spilling. However, due to the complex dynamics of liquids, it is difficult to learn how to pour to achieve t…

Cited by 38 Source ↗Scholar ↗

2016

A probabilistic approach to liquid level detection in cups using an RGB-D camera

Chau Do, Tobias Schubert, Wolfram Burgard

IROS 2016poster

Robotic assistants have the potential to greatly improve our quality of life by supporting us in our daily activities. A service robot acting autonomously in an indoor environment is faced with very complex tasks. Consider the problem of pouring a liquid into a cup, the robot should first determine…

Cited by 48 Source ↗Scholar ↗