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Robotics and Biology LaboratoryProbabilistic Multi-Class Segmentation for the Amazon Picking Challenge

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Probabilistic Multi-Class Segmentation for the Amazon Picking Challenge

This repository includes the code and data for the object perception method of our winning entry to the 2015 Amazon Picking Challenge. The object segmentation method and the analysis from the accompaning paper are implemented in python. The data can be used to develop and benchmark new perception methods in this setting.

Repository: gitlab.tubit.tu-berlin.de/rbo-lab/rbo-apc-object-segmentation

Accompanying paper: Probabilistic Multi-Class Segmentation for the Amazon Picking Challenge

Original author: Rico Jonschkowski

Contact person: Vincent Wall

Project: Amazon Picking Challenge 2015

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