Finalist at ICAR'17

We are pleased to announce that our joint paper with the Institute of Robotics and Mechatronics,DLR:

* Storing and Retrieving Perceptual Episodic Memories for Long-term Manipulation Tasks, Ferenc Balint-Benczedi, Zoltan-Csaba Marton, Maximilian Durner and Michael Beetz

has been selected as an ICAR 2017 best paper award finalist.

The paper presents a robotic perception system that generates perceptual episodic memories during the execution of a task. To allow easy retrieval of these memories we introduce an object and scene description language that serves as a layer of abstraction between the structure of the perception logs and the semantic interpretation of these. The description language can be used through a query interface to retrieve specific parts of the generated episodic memory. The purpose of the proposed system is two-fold: to enable on-line retrospection and specialized training of perception routines and to enable researchers to interactively explore perception results.