On human-centric and robot-centric perspective of a building model

Abstract The effectiveness of mobile robots operating in buildings depends strongly on their ability to cooperate with people. The cooperation requires a common language for communication. In this paper, the problem of modelling buildings in the context of communication between humans and robots is considered. Significant differences between the perception of building elements by humans and robots are discussed at the onset. This analysis allows us to propose a human-oriented building model, which represents elements, features and relations used by people in communication. This model warrants the unambiguous identification of building elements, which forms a good basis for the communication between humans and robots. Further, the model is implemented by means of a flexible, document-based database. Finally, a mapping between the proposed model and the existing robot-oriented models of buildings is proposed, followed by case studies that demonstrate the usage of the proposed methodology.

[1]  John R. Josephson,et al.  What Are They? Why Do We Need Them? , 1999 .

[2]  Sebastian Thrun,et al.  Probabilistic robotics , 2002, CACM.

[3]  Wojciech Palacz,et al.  MODELING BUILDINGS FOR MOBILE ROBOTS , 2009 .

[4]  Janusz Kacprzyk,et al.  Intelligent Systems'2014 - Proceedings of the 7th IEEE International Conference Intelligent Systems IS'2014, September 24-26, 2014, Warsaw, Poland, Volume 2: Tools, Architectures, Systems, Applications , 2015, IEEE Conf. on Intelligent Systems.

[5]  Alberto Elfes,et al.  Using occupancy grids for mobile robot perception and navigation , 1989, Computer.

[6]  Roland Siegwart,et al.  Cognitive maps for mobile robots - an object based approach , 2007, Robotics Auton. Syst..

[7]  Krzysztof Cetnarowicz,et al.  Robot Task Allocation Using Signal Propagation Model , 2013, ICCS.

[8]  Steven M. LaValle,et al.  Planning algorithms , 2006 .

[9]  Howie Choset,et al.  Principles of Robot Motion: Theory, Algorithms, and Implementation ERRATA!!!! 1 , 2007 .

[10]  Krzysztof Cetnarowicz,et al.  Modeling buildings in the context of Mobile Robotics , 2014 .

[11]  Wojciech Turek Extensible Multi-Robot System , 2008, ICCS.

[12]  Charles M. Eastman,et al.  BIM Handbook: A Guide to Building Information Modeling for Owners, Managers, Designers, Engineers and Contractors , 2008 .

[13]  Moritz Tenorth,et al.  KnowRob: A knowledge processing infrastructure for cognition-enabled robots , 2013, Int. J. Robotics Res..

[14]  Bogdan Harasymowicz-Boggio,et al.  Semantic Place Labeling Method , 2015, J. Autom. Mob. Robotics Intell. Syst..

[15]  Antonios Gasteratos,et al.  Semantic mapping for mobile robotics tasks: A survey , 2015, Robotics Auton. Syst..

[16]  A. Jastriebow,et al.  Analysis of multi-step algorithms for cognitive maps learning , 2014 .

[17]  Pawel Kaczmarek,et al.  Design for a Robotic Companion , 2015, Int. J. Humanoid Robotics.

[18]  Igor Wojnicki,et al.  A Robust Planning Algorithm for Groups of Entities in Discrete Spaces , 2015, Entropy.

[19]  Stanislaw Ambroszkiewicz,et al.  Architecture of an Autonomous Robot at the IT Level , 2015, J. Autom. Mob. Robotics Intell. Syst..

[20]  Benjamin Kuipers,et al.  The Spatial Semantic Hierarchy , 2000, Artif. Intell..

[21]  as,et al.  Living with inconsistency and taming nonmonotonicity , 2010 .

[22]  Wolfram Burgard,et al.  Conceptual spatial representations for indoor mobile robots , 2008, Robotics Auton. Syst..

[23]  Roland Siegwart,et al.  Introduction to Autonomous Mobile Robots , 2004 .

[24]  Gérard Ligozat Qualitative Spatial and Temporal Reasoning: Ligozat/Qualitative Spatial and Temporal Reasoning , 2013 .

[25]  Jean-Claude Latombe,et al.  Robot motion planning , 1970, The Kluwer international series in engineering and computer science.

[26]  S. Ambroszkiewicz,et al.  Multirobot system architecture: environment representation and protocols , 2010 .

[27]  Balakrishnan Chandrasekaran,et al.  What are ontologies, and why do we need them? , 1999, IEEE Intell. Syst..

[28]  Dana H. Ballard,et al.  Generalizing the Hough transform to detect arbitrary shapes , 1981, Pattern Recognit..