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.
Year
DOI
Venue
2013
10.1007/978-3-642-41190-8_6
ICIAP Workshops
Keywords
Field
DocType
perception,reasoning
Computer vision,Computer science,Gesture,Industrial robot,First-order logic,Co operation,Artificial intelligence,Problem description,Robot,Perception,Human–robot interaction
Conference
Volume
ISSN
Citations 
8158
0302-9743
1
PageRank 
References 
Authors
0.36
8
4
Name
Order
Citations
PageRank
Nikhil Somani1437.34
Emmanuel C. Dean-Leon26215.39
Caixia Cai3285.15
Alois Knoll Knoll41700271.32