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Jean-Philippe Mercier

2 accepted papers

2019

Learning Object Localization and 6D Pose Estimation from Simulation and Weakly Labeled Real Images

ICRA 2019poster

Accurate pose estimation is often a requirement for robust robotic grasping and manipulation of objects placed in cluttered, tight environments, such as a shelf with multiple objects. When deep learning approaches are employed to perform this task, they typically require a large amount of training d…

Cited by 15SourceScholar
2015

Multisensor placement in 3D environments via visibility estimation and derivative-free optimization

ICRA 2015poster

This paper proposes a complete system for robotic sensor placement in initially unknown arbitrary three-dimensional environments. The system uses a novel approach for computing the quality of acquisition of a mobile sensor group in such environments. The quality of acquisition is based on a geometri…

Cited by 12SourceScholar