Abstract
Object affordances provide useful information related to understanding of human activities. The aim of this paper is to create an ontology for object affordance reasoning that can be shared across different assistive robots operating within the household domain. A novel ontology called O-PrO (Object Property Ontology) consisting of 61 household objects is presented. The ontology can be used for computing cognitive and semantic object affordances.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Notes
- 1.
O-PrO can be downloaded from the GitHub repository, https://git.io/viO6Q.
- 2.
- 3.
- 4.
- 5.
- 6.
- 7.
- 8.
- 9.
References
Deng, J., Dong, W., Socher, R., Li, L.J., Li, K., Fei-Fei, L.: Imagenet: a large-scale hierarchical image database. In: IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2009, pp. 248–255. IEEE (2009)
Gibson, J.J.: The ecological approach to the visual perception of pictures. Leonardo 11(3), 227–235 (1978)
Havasi, C., Speer, R., Alonso, J.: Conceptnet 3: a flexible, multilingual semantic network for common sense knowledge. In: Recent Advances in Natural Language Processing, pp. 27–29. Citeseer (2007)
Horton, T.E., Chakraborty, A., Amant, R.S.: Affordances for robots: a brief survey. Avant 3(2), 70–84 (2012)
Knublauch, H., Fergerson, R.W., Noy, N.F., Musen, M.A.: The Protégé OWL plugin: an open development environment for semantic web applications. In: McIlraith, Sheila, A., Plexousakis, D., Harmelen, F. (eds.) ISWC 2004. LNCS, vol. 3298, pp. 229–243. Springer, Heidelberg (2004). doi:10.1007/978-3-540-30475-3_17
Koppula, H.S., Saxena, A.: Physically grounded spatio-temporal object affordances. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8691, pp. 831–847. Springer, Heidelberg (2014). doi:10.1007/978-3-319-10578-9_54
Koppula, H.S., Gupta, R., Saxena, A.: Learning human activities and object affordances from RGB-D videos. Int. J. Robot. Res. 32(8), 951–970 (2013)
Lai, K., Bo, L., Ren, X., Fox, D.: A large-scale hierarchical multi-view RGB-D object dataset. In: 2011 IEEE International Conference on Robotics and Automation (ICRA), pp. 1817–1824. IEEE (2011)
Liu, R., Zhang, X.: Understanding human behaviors with an object functional role perspective for robotics. IEEE Trans. Cogn. Develop. Syst. 8(2), 115–127 (2015). doi:10.1109/TAMD.2015.2504919
Miller, G., Fellbaum, C.: Wordnet: an electronic lexical database (1998)
Moralez, L.A.: Affordance ontology: towards a unified description of affordances as events. Res. Cogitans 7(1), 35–45 (2016)
Sanders, J.T.: An ontology of affordances. Ecol. Psychol. 9(1), 97–112 (1997)
Sarathy, V., Scheutz, M.: Cognitive affordance representations in uncertain logic. In: Fifteenth International Conference on the Principles of Knowledge Representation and Reasoning (2016)
Shu, T., Ryoo, M., Zhu, S.C.: Learning social affordance for human-robot interaction. In: International Joint Conference on Artificial Intelligence (IJCAI) (2016)
Tenorth, M., Kunze, L., Jain, D., Beetz, M.: Knowrob-map-knowledge-linked semantic object maps. In: 2010 10th IEEE-RAS International Conference on Humanoid Robots, pp. 430–435. IEEE (2010)
Varadarajan, K.M., Vincze, M.: Afrob: the affordance network ontology for robots. In: 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 1343–1350. IEEE (2012)
Zhu, Y., Fathi, A., Fei-Fei, L.: Reasoning about object affordances in a knowledge base representation. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8690, pp. 408–424. Springer, Heidelberg (2014). doi:10.1007/978-3-319-10605-2_27
Acknowledgement
This research work is supported by UGC, Government of India under SAP Level-II. Financial assistance received under DST-UKIERI DST/INT/UK/P-91/2014 is gratefully acknowledged.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Bhattacharyya, R., Bhuyan, Z., Hazarika, S.M. (2017). O-PrO: An Ontology for Object Affordance Reasoning. In: Basu, A., Das, S., Horain, P., Bhattacharya, S. (eds) Intelligent Human Computer Interaction. IHCI 2016. Lecture Notes in Computer Science(), vol 10127. Springer, Cham. https://doi.org/10.1007/978-3-319-52503-7_4
Download citation
DOI: https://doi.org/10.1007/978-3-319-52503-7_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-52502-0
Online ISBN: 978-3-319-52503-7
eBook Packages: Computer ScienceComputer Science (R0)