Bruno Leme — accepted AI-conference papers

2023

Force Map: Learning to Predict Contact Force Distribution from Vision

Ryo Hanai, Yukiyasu Domae, Ixchel G. Ramirez-Alpizar, Bruno Leme, Tetsuya Ogata

IROS 2023poster

When humans see a scene, they can roughly imagine the forces applied to objects based on their expe-rience and use them to handle the objects properly. This paper considers transferring this “force-visualization” ability to robots. We hypothesize that a rough force distribution (named “force map”) c…

Cited by 4 Source ↗Scholar ↗

2023

Learning Depth Completion of Transparent Objects using Augmented Unpaired Data

Floris Erich, Bruno Leme, Noriaki Ando, Ryo Hanai, Yukiyasu Domae

ICRA 2023poster

We propose a technique for depth completion of transparent objects using augmented data captured directly from real environments with complicated geometry. Using cyclic adversarial learning we train translators to convert between painted versions of the objects and their real transparent counterpart…

Cited by 7 Source ↗code ↗Scholar ↗