Cody J. Phillips — accepted AI-conference papers

2016

Seeing Glassware: from Edge Detection to Pose Estimation and Shape Recovery

Cody J. Phillips, Matthieu Lecce, Kostas Daniilidis

RSS 2016poster

Perception of transparent objects has been an open challenge in robotics despite advances in sensors and data- driven learning approaches. In this paper, we introduce a new approach that combines recent advances in learnt object detectors with perceptual grouping in 2D, and projective geometry of ap…

Cited by 67 Source ↗PDF ↗Scholar ↗

2015

Grasping surfaces of revolution: Simultaneous pose and shape recovery from two views

Cody J. Phillips, Matthieu Lecce, Casey Davis, Kostas Daniilidis

ICRA 2015poster

In many scenarios, robots encounter rotationally symmetric objects for which no known 3D model exists. To be able to grasp such objects using existing grasp point computation schemes, an estimate of their 3D-pose and shape is necessary. In this paper, we address the problem of recovering 3D-pose and…

Cited by 17 Source ↗Scholar ↗