Future research challenges and applications of ubiquitous robotics

ABSTRACT

Ambient intelligence, ubiquitous and networked robots, cloud robotics, are new research hot topics that start to gain popularity among the robotics community. They enable robots to acquire richer functionalities and open the way for the composition of a variety of robotic services with three functions: semantic perception, reasoning and actuation. This paper introduces the recent challenges and future trends of these topics.

References

1. V. Raskin, J. Taylor, E. T. Matson, Towards an ontological modeling of something very much like consciousness: The HARMS Way, SDPS 2012 Conference, Berlin, Germany, June 10-14, 2012.
2. E. T. Matson, J. Taylor, V. Raskin, B. C. Min, E. C. Wilson, A Natural language exchange model for enabling Human, Agent, Robot and Machine Interaction, The Fifth International Conference on Automation, Robotics and Applications (ICARA), Wellington, New Zealand, December 6-8, 2011.
3. B. R. Whitby, The Turing Test: AI's Biggest Blind Alley?, in Millican, Peter and Clark, Andy, Machines and Thought: The Legacy of Alan Turing, 1, Oxford University Press, pp. 53--62, 1996.
4. R. Arumugam, V. R. Enti, L. Bingbing, W. Xiaojun, K. Baskaran, F. F. Kong, A. S. Kumar, K. D. Meng, G. W. Kit, M. Rakotondrabe, I. Ivan, Davinci: A cloud computing framework for service robots, in Proc. Of the International Conference on Robotics and Automation, Anchorage, USA, pp. 3084--3089, 2010.
5. G. Hu, W. Peng Tay, Y. Wen: Cloud robotics: architecture, challenges and applications. IEEE Network, Vol. 26, Issue 3, pp. 21--28, 2012.
6. I. Horrocks and P. F. Patel-Schneider, KR and Reasoning on the Semantic Web: OWL. In John Domingue, Dieter Fensel, and James A. Hendler, editors, Handbook of Semantic Web Technologies, chapter 9, pages 365--398, Springer, 2011.
7. C. Bettini, O. Brdiczka, K. Henricksen, J. Indulska, D. Nicklas, A. Ranganathan, D. Riboni, A survey of context modelling and reasoning techniques, Pervasive and Mobile Computing, Vol. 6, Issue 2, pp. 161--180, 2010.
8. A. Chibani, K. Djouani, Y. Amirat Yacin, Context aware service agents for ubiquitous robots applications, in Proc. of the 4th IEEE International Conference on Ubiquitous Robots and Ambient Intelligence (URAI 2007), Pohang, Korea, pp. 118--124, 2007.
9. J. H. Kim, Y. D. Kim, K. H. Lee, The third generation of robotics: Ubiquitous robot, In Proc. of the 2nd Int. Conf. on Autonomous Robots and Agents, Palmerston North, New Zealand, 2004.
10. D. Lee, T. Yamazaki, S. Helal, Robotic Companions for Smart Space Interactions, IEEE Pervasive Computing, Vol., Issue 2, pp. 78--84, 2009.
11. L. Sabri, A. Chibani, Y. Amirat, G. P. Zarri, Narrative reasoning for cognitive ubiquitous robots, in: Knowledge Representation for Autonomous Robots, Workshop at IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2011), San Fransisco, USA, 2011.
12. A. K. Dey, Understanding and Using Context, Personal and Ubiquitous Computing Journal, Vol. 5, Issue 1, pp. 4--7, 2001.
13. Y. G. Ha, J. C. Sohn, Y. J. Cho, Service-oriented integration of networked robots with ubiquitous sensors and devices using the semantic Web services technology, In Proc. of the Of 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2005), Edmonton, Canada, pp. 3947--3952, 2005.
14. A. Safiotti, M. Broxvall, M. Gritti, K. LeBlanc, R. Lundh, J. Rashid, B. S. Seo, Y. J. Cho, The PEIS-Ecology Project: Visions and Results. In Proc. Of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2008), Nice, France, pp. 2329--2335, 2008.
15. L. Sabri, A. Chibani, Y. Amirat, G. P. Zarri, Semantic reasoning framework to supervise and manage contexts and objects in pervasive computing environments, in Proc. of the International Conference on Advanced Information Networking and Applications (AINA 2010), Biopolis, Singapor, pp. 47--52, 2011.
16. K. C. Welch, U. Lahiri, N. Sarkar, Z. Warren, An approach to the design of socially acceptable robots for children with autism spectrum disorders, International Journal of Social Robotics, Vol. 2, Issue 4, pp. 391--403, 2010.
17. S. Helal, S. Lim, R. Bose, H. Yang, H. Kim, Y. J. Cho, Experience of enhancing the space sensing of networked robots using atlas service-oriented architecture., In Proc. Of the 8th Asia-Paci?c Conf. Computer Human Interaction (APCHI 08), Seoul, Korea, pp. 1--10, 2008.
18. A. Yachir, Y. Amirat, K. Tari, A. Chibani, QoS Based Framework for Ubiquitous Robotic Services Composition, In Proc. Of the IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2009, Oct., 11--15, 2009, St. Louis, USA., pp. 2019--2026, 2009.
19. S. S. Hidayat, B. K. Kim, K. Ohba, Learning Affordance for Semantic Robots Using Ontology Approach, In Proc. Of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2008), Nice France, pp. 2630--2636, 2008.
20. P. Rani, C. Liu, N. Sarkar, Interaction between human and robot - an Affect-inspired approach, Interaction Studies, Vol. 9, Issue 2, pp. 230--257, 2008.
21. N. Davies, D. P. Siewiorek, and R. Sukthankar, Activity-based computing, IEEE Pervasive. Computing, Vol. 7, Issue 2, pp. 20--21, 2008.
22. P. Lukowicz, O. Amft, D. Roggen, and J. Cheng, On-Body Sensing: From Gesture-Based Input to Activity-Driven Interaction. IEEE Computer, Vol. 43, Issue 10, pp. 92--96, 2010.
23. D. Roggen, S. Magnenat, M. Waibel, G. Troster. Wearable Computing: Designing and Sharing Activity-Recognition Systems Across Platforms, IEEE Robotics and Automation Magazine, Vol. 18, Issue 2, pp. 83--95, 2011.
24. D. Trabelsi, S. Mohammed, L. Oukhellou, Y. Amirat, Activity Recognition Using Body Mounted Sensors: An Unsupervised Learning based Approach, IEEE World Congress on Computational Intelligence - International Joint Conference on Neural Networks (IJCNN), June 10-15, Brisbane, Australia, 2012.
25. E. Guizzo, Robots with their heads in the clouds, In IEEE Spectrum, Vol. 48, Issue 3, pp. 16--18, 2011.
26. C. Schlenoff, M. Uschold, Knowledge engineering and ontologies for autonomous systems, Robotics and Autonomous Systems, Vol. 49, Numbers: 1-2, pp. 1--5, 2004.
27. A. Sanfeliu, N. Hagita, A. Saf?otti, Network robot systems, Robotics and Autonomous Systems, Vol. 56, Issue 10, pp.793--797, 2008.
28. K. Kamei, S. Nishio, N. Hagita, M. Sato, Cloud networked robotics, IEEE Network, Vol. 26, Issue 3, pp.2--8, 2012.
29. G. Haubl, K. B. Murray, Recommending or persuading? The impact of a shopping agent's algorithm on consumer behavior., In Proc. of the ACM Conference on Electronic Commerce (EC'01), Eds.: M. Wellman and Y. Shoham, New York, NY: Association for Computing Machinery, pp. 163--170.
30. M. Beetz, L. Mosenlechner, M. Tenorth, CRAM -A cognitive robot abstract machine for everyday manipulation in human environments, in Proc. Of the IEEE/RSJ International Conference on Intelligent RObots and Systems, Taipei, Taiwan, pp. 1012--1017, 2010.
31. Y. G. Ha, J. C. Sohn, Y. J. Cho, Service-oriented integration of networked robots with ubiquitous sensors and devices using the semantic web services technology, In Proc. of the Of 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2005), Edmonton, Canada, pp. 3947--3952, 2005.
32. I. H. Suh, G. H. Lim, W. Hwang, H. Suh, J. H. Choi, Y. T. Park, Ontology-based multi-layered robot knowledge framework (omrkf) for robot intelligence, in Proc. of the in IEEE/RSJ International Conference on Intelligent Robots and Systems, San Diego, USA, pp. 429--436, 2007.
33. M. Waibel, M. Beetz, J. Civera, R. d'Andrea, J. Elfring, D. Galvez-Lopez, K. Haussermann, R. J. M. Janssen, J. M. M. Montiel, A. Perzylo, B. Schiessle, M. Tenorth, O. Zweigle, M. J. G. Van de Molengraft., RoboEarth - A World Wide Web for Robots. In Robotics and Automation Magazine, IEEE, Vol. 18, Issue 2, pp 69--82, June 2011.
34. M. Tenorth, U. Klank, D. Pangercic, M. Beetz, Web-Enabled Robot, IEEE Robotics and Automation Mag., Vol. 18, Issue 2, pp. 58--68, 2011.
35. T. Kanda, D. F. Glas, M. Shiomi, N. Hagita, Abstracting People's Trajectories for Social Robots to Proactively Approach Customers, IEEE Transactions on Robotics, Vol. 25, pp. 1382--1396, 2009.
36. D. Riboni, C. Bettini, OWL 2 modeling and reasoning with complex human activities, Pervasive and Mobile Computing Journal, Vol. 7, Issue 3, pp. 379--395, 2011.
37. X. H. Wang, D. Q. Zhang, T. Gu, H. K. Pung, Ontology based context modeling and reasoning using owl, in Proc. of the Second IEEE Annual Conference on Pervasive Computing and Communications Workshops (Percom' 04), pp. 18--22, 2004.
38. S. Yau, J. Liu, Hierarchical situation modeling and reasoning for pervasive computing, in Proc. of the Fourth IEEE Workshop on Software Technologies for Future Embedded and Ubiquitous Systems, and the Second International Workshop on Collaborative Computing, Integration, and Assurance (SEUS-WCCIA 06), pp. 5--10, 2006.
39. M. J. Santofimia, S. E. Fahlman, X. del Toro, F. Moya, J. C. Lopez, A semantic model for actions and events in ambient intelligence, Engineering Applications of Arti?cial Intelligence, Vol. 24, Issue 8, pp. 1432--1445, 2011.
40. J. Quintas, P. Menezes, J. Dias, Cloud Robotics: Towards Context Aware Robotic Networks, in Proc. of the 16th IASTED International Conference on Robotics, Pittsburgh, USA, November 7-9, 2011.
41. J. Rao, X. Su, A Survey of Automated Web Service Composition Methods, In Proc. of the First International Workshop on Semantic Web Services and Web Process Composition, SWSWPC 2004, LNCS, San Diego, USA, Springer-Verlag, pp. 43--54, 2004.
42. A. Cangelosi, G. Metta, G. Sagerer, S. Nol?, C. Nehaniv, K. Fischer, J. Tani, T. Belpaeme, G. Sandini, F. Nori, L. Fadiga, B. Wrede, K. Rohl?ng, E. Tuci, K. Dautenhahn, J. Saunders, A. Zeschel, Integration of action and language knowledge: A roadmap for developmental robotics., IEEE Transactions on Autonomous Mental Development, Vol. 2, Issue 3, pp. 167--195, 2010.

Index Terms

• Computer systems organization

  • Embedded and cyber-physical systems

    • Robotics

• Computing methodologies

  • Artificial intelligence

    • Control methods

      • Robotic planning

    • Distributed artificial intelligence

    • Knowledge representation and reasoning

    • Planning and scheduling

      • Robotic planning

• Human-centered computing

  • Human computer interaction (HCI)

• Information systems

  • Information retrieval

  • Information storage systems

• Theory of computation

  • Logic