@inproceedings{6d269a38242b4defa8b2daba548ff8fd,
title = "Scene perception and recognition for human-robot co-operation",
abstract = "In this paper, an intuitive interface for collaborative tasks involving a human and a standard industrial robot is presented. The target for this interface is a worker who is experienced in manufacturing processes but has no experience in conventional industrial robot programming. Physical Human-Robot Interaction (pHRI) and interactive GUI control using hand gestures offered by this interface allows this novice user to instruct industrial robots with ease. This interface combines state of the art perception capabilities with first order logic reasoning to generate semantic description of the process plan. This semantic representation creates the possibility of including human and robot tasks in the same plan and also reduces the complexity of problem analysis by allowing process planning at semantic level, thereby isolating the problem description and analysis from the execution and scenario-specific parameters.",
keywords = "HRI, Perception, Reasoning",
author = "Nikhil Somani and Emmanuel Dean-Le{\'o}n and Caixia Cai and Alois Knoll",
year = "2013",
doi = "10.1007/978-3-642-41190-8_6",
language = "English",
isbn = "9783642411892",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "50--59",
booktitle = "New Trends in Image Analysis and Processing - ICIAP 2013 International Workshops, Proceedings",
note = "17th International Conference on Image Analysis and Processing, ICIAP 2013 ; Conference date: 09-09-2013 Through 13-09-2013",
}