Camilo Gordillo — accepted AI-conference 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

Automatic channel selection in neural microprobes: A combinatorial multi-armed bandit approach

Camilo Gordillo, Barbara Frank, Istvan Ulbert, Oliver Paul, Patrick Ruther, Wolfram Burgard

IROS 2016poster

State-of-the-art neural microprobes contain hundreds of electrodes within a single shaft. Due to hardware and wiring restrictions, it is usually only possible to measure a small subset of the available electrodes simultaneously. The selection of the best channels is typically performed offline eithe…

Cited by 0 Source ↗Scholar ↗