REFERENCES
1. Burke JL, Murphy RR, Rogers E, Lumelsky VJ, Scholtz J. Final report for the DARPA/NSF interdisciplinary study on human-robot interaction. IEEE Trans Syst, Man, Cybern C 2004;34:103-12.
2. Thrun S. Toward a framework for human-robot interaction. Human–Computer Interaction 2004;19:9-24.
3. Olszewska JI, Barreto M, Bermejo-Alonso J, et al. Ontology for autonomous robotics. In: 2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) IEEE; 2017. pp. 189-94.
4. de Freitas EP, Olszewska JI, Carbonera JL, et al. Ontological concepts for information sharing in cloud robotics. J Ambient Intell Human Comput 2020:1-12.
5. Kostavelis I, Gasteratos A. Semantic mapping for mobile robotics tasks: A survey. Robotics and Autonomous Systems 2015;66:86-103.
6. Hanheide M, Göbelbecker M, Horn GS, et al. Robot task planning and explanation in open and uncertain worlds. Artificial Intelligence 2017;247:119-50.
7. Toscano C, Arrais R, Veiga G. Enhancement of industrial logistic systems with semantic 3D representations for mobile manipulators. In: Iberian Robotics conference. Cham: Springer International Publishing; 2018. pp. 617-28.
8. Olivares-Alarcos A, Beßler D, Khamis A, Goncalves P, Habib MK, et al. A review and comparison of ontology-based approaches to robot autonomy. The Knowledge Engineering Review 2019:34.
9. Guarino N. Formal ontology in information systems: Proceedings of the first international conference (FOIS’98); June 6-8 IOS press; 1998.
10. Niles I, Pease A. Towards a standard upper ontology. In: Proceedings of the international conference on Formal Ontology in Information Systems-Volume 2001 2001. pp. 2-9.
11. Lenat D, Guha R. Building large knowledge-based systems: Representation and inference in the CYC project. Artificial Intelligence 1993;61:53-63.
12. Arp R, Smith B, Spear AD. Building ontologies with basic formal ontology. Mit Press; 2015.
13. Masolo C, Borgo S, Gangemi A, Guarino N, Oltramari A. Wonderweb deliverable d18: Ontology library. Technical report, ISTC-CNR 2003.
14. Prestes E, Carbonera JL, Rama Fiorini S, et al. Towards a core ontology for robotics and automation. Robotics and Autonomous Systems 2013;61:1193-204.
15. Balakirsky S, Schlenoff C, Rama Fiorini S, et al. Towards a robot task ontology standard. In: International Manufacturing Science and Engineering Conference. vol. 50749 American Society of Mechanical Engineers; 2017. p. V003T04A049.
16. Efficient integration of metric and topological maps for directed exploration of unknown environments. Robotics and Autonomous Systems 2002;41:21-39.
17. Sim R, Little JJ. Autonomous vision-based robotic exploration and mapping using hybrid maps and particle filters. Image and Vision Computing 2009;27:167-77.
18. He Z, Sun H, Hou J, Ha Y, Schwertfeger S. Hierarchical topometric representation of 3D robotic maps. Auton Robot 2021;45:755-71.
19. Niloy A, Shama A, Chakrabortty RK, Ryan MJ, Badal FR, et al. Critical design and control issues of indoor autonomous mobile robots: a review. IEEE Access 2021;9:35338-70.
20. Liu J, Li Y, Tian X, Sangaiah AK, Wang J. Towards Semantic Sensor Data: An Ontology Approach. Sensors (Basel) 2019;19:1193.
21. Günther M, Wiemann T, Albrecht S, Hertzberg J. Model-based furniture recognition for building semantic object maps. Artificial Intelligence 2017;247:336-51.
22. Lim GH, Suh IH, Suh H. Ontology-based unified robot knowledge for service robots in indoor environments. IEEE Trans Syst, Man, Cybern A 2011;41:492-509.
23. Rusu RB, Marton ZC, Blodow N, Holzbach A, Beetz M. Model-based and learned semantic object labeling in 3D point cloud maps of kitchen environments. In: 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems IEEE; 2009. pp. 3601-8.
24. Galindo C, Saffiotti A. Inferring robot goals from violations of semantic knowledge. Robotics and Autonomous Systems 2013;61:1131-43.
25. Wang T, Chen Q. Object semantic map representation for indoor mobile robots. In: Proceedings 2011 International Conference on System Science and Engineering IEEE; 2011. pp. 309-13.
26. Vasudevan S, Siegwart R. Bayesian space conceptualization and place classification for semantic maps in mobile robotics. Robotics and Autonomous Systems 2008;56:522-37.
27. Diab M, Pomarlan M, Beßler D, et al. An ontology for failure interpretation in automated planning and execution. In: Iberian Robotics conference Springer; 2019. pp. 381-90.
28. Balakirsky S. Ontology based action planning and verification for agile manufacturing. Robotics and Computer-Integrated Manufacturing 2015;33:21-28.
29. Garg S, Sünderhauf N, Dayoub F, et al. Semantics for robotic mapping, perception and interaction: a survey. FNT in Robotics 2020;8:1-224.
30. Manzoor S, Rocha YG, Joo SH, et al. Ontology-based knowledge representation in robotic systems: a survey oriented toward applications. Applied Sciences 2021;11:4324.
31. Tenorth M, Beetz M. KnowRob: A knowledge processing infrastructure for cognition-enabled robots. The International Journal of Robotics Research 2013;32:566-90.
32. Beßler D, Pomarlan M, Beetz M. Owl-enabled assembly planning for robotic agents. In: Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems 2018. pp. 1684-92.
33. Schlenoff C, Prestes E, Madhavan R, et al. An IEEE standard ontology for robotics and automation. In: 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems IEEE; 2012. pp. 1337-42.
35. Bruno B, Chong NY, Kamide H, et al. The CARESSES EU-Japan project: making assistive robots culturally competent. In: Italian Forum of Ambient Assisted Living Springer; 2017. pp. 151-69.
36. Waibel M, Beetz M, Civera J, et al. Roboearth. IEEE Robot Automat Mag 2011;18:69-82.
37. Saxena A, Jain A, Sener O, Jami A, Misra DK, et al. Robobrain: Large-scale knowledge engine for robots. arXiv preprint arXiv: 14120691 2014.
38. Dogmus Z, Erdem E, Patoglu V. RehabRobo-Onto: Design, development and maintenance of a rehabilitation robotics ontology on the cloud. Robotics and Computer-Integrated Manufacturing 2015;33:100-9.
39. Gonçalves PJS, Torres PMB. Knowledge representation applied to robotic orthopedic surgery. Robotics and Computer-Integrated Manufacturing 2015;33:90-9.
40. Bayat B, Bermejo-Alonso J, Carbonera J, et al. Requirements for building an ontology for autonomous robots. IR 2016;43:469-80.
42. Crespo J, Barber R, Mozos O. Relational model for robotic semantic navigation in indoor environments. J Intell Robot Syst 2017;86:617-39.
43. Crespo J, Barber R, Mozos O, BeBler D, Beetz M. Reasoning Systems for Semantic Navigation in Mobile Robots. In: 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) IEEE; 2018. pp. 5654-59.
44. Protégé. Protégé; Access May, 2020. Available from: https://protege.stanford.edu.
45. Reasoner H. Hermit Reasoner; Access May, 2020. Available from: http://www.hermit-reasoner.com.
46. Gangemi A, Borgo S, Catenacci C, Lehmann J. Task taxonomies for knowledge content. Metokis Deliverable D 2004;7:2004.
48. Edelkamp S, Hoffmann J. PDDL2.2: The language for the classical part of the 4th international planning competition. Technical Report 195 University of Freiburg; 2004.
49. Gerevini A, Long D. Plan constraints and preferences in PDDL3. Technical Report 2005-08-07, Department of Electronics for Automation … 2005.
50. Cashmore M, Fox M, Long D, et al. Rosplan: Planning in the robot operating system. In: Proceedings of the International Conference on Automated Planning and Scheduling. vol. 25 2015.
51. Gayathri R, Uma V. Ontology based knowledge representation technique, domain modeling languages and planners for robotic path planning: A survey. ICT Express 2018;4:69-74.
