]. S. Szabo, R. Norcross, W. Shackleford, F. Sadri, C. Schlenoff et al., Safety of Human?Robot Collaboration Systems Project AvailableSafety of Human?Robot Collaboration in ManufacturingIndustrial robot standardization at ISO RoboticsLogic?Based Approaches to Intention Recognition," in Handbook of Research on Ambient Intelligence and Smart Environments: Trends and PerspectivesModeling intention recognition for intelligent agent systemsInferring Intention Through State Representation in Cooperative Human?Robot EnvironmentsA spatial logic based on regions and connection, 8th Safety Across High?Consequence Industries Conference Engineering Creative Design in Robotics and Mechatronics presented at the 3rd International Conference on Representation and Reasoning OWL?S: Semantic Markup of Web Services. AvailableOntology?based User Intention Recognition for Proactive Planning of Intelligent Robot Behavior," presented at the International Conference on Multimedia and Ubiquitous Engineering, pp.229-233, 1987.

R. Kelley, A. Tavakkoli, C. King, M. Nicolescu, M. Nicolescu et al., Understanding human intentions via hidden markov models in autonomous mobile robots, Proceedings of the 3rd international conference on Human robot interaction , HRI '08, 2008.
DOI : 10.1145/1349822.1349870

O. Schrempf and U. Hanebeck, A Generic Model for Estimating User? Intentions in Human?Robot Cooperation, presented at the 2nd International Conference on Informatics in Control, Automation, and Robotics ICINCO 05 Barcelona, 2005.

W. Mao and J. Gratch, A Utility?Based Approach to Intention Recognition, presented at the AAMAS Workshop on Agent Tracking: Modeling Other Agents from Observations, 2004.

S. ?. Youn, K. ?w, and . Oh, Intention Recognition using a Graph Representation, World Academy of Science, Engineering and Technology, vol.25, 2007.

C. Schlenoff, S. Foufou, and S. Balakirsky, Performance Evaluation of Robotic Knowledge Representation (PERK)," presented at the Performance Metrics for Intelligent Systems (PerMIS), 2012.

E. Charniak and D. Mcdermott, Introduction to artificial intelligence, 1985.

P. Roy, B. Bouchard, A. Bouzouane, and S. Giroux, A Hybrid Plan Recognition Model for Alzheimer's Patients: Interleaved-Erroneous Dilemma, 2007 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT'07), 2007.
DOI : 10.1109/IAT.2007.17

G. Sukthanker and K. Sycara, Team?aware robotic demining agents for military simulation, presented at the Innovative Applications of Artificial Intelligence (IAAI), 2001.

L. M. Pereira and H. T. Ahn, Elder Care via Intention Recognition and Evolution Prospection, presented at the 18th International Conference on Applications of Declarative Programming and Knowledge Management (INAP'09), 2009.
DOI : 10.1023/A:1018990308362

F. Mulder and F. Voorbraak, A formal description of tactical plan recognition, Information Fusion, vol.4, issue.1, 2003.
DOI : 10.1016/S1566-2535(02)00102-1

P. A. Jarvis, T. F. Lunt, and K. L. Myers, Identifying terrorist activity with AI plan?recognition technology, AI Magazine, vol.26, p.9, 2005.

R. Demolombe, A. Mara, and O. Fern, Intention Recognition in the Situation Calculus and Probability Theory Frameworks, presented at the Computational Logic in Multi?Agent Systems (CLIMA) Conference, 2006.
DOI : 10.1007/11750734_20

M. Philipose, K. Fishkin, M. Perkowitz, D. Patterson, D. Hahnel et al., Inferring ADLs from interactions with objects, IEEE Pervasive Computing, 2005.

P. R. Cohen, C. R. Perrault, and J. F. Allen, Beyond question answering, Strategies for Natural Language Processing, pp.245-274, 1981.

C. W. Geib and R. P. Goldman, Plan recognition in intrusion detection systems, Proceedings DARPA Information Survivability Conference and Exposition II. DISCEX'01, 2001.
DOI : 10.1109/DISCEX.2001.932191

L. M. Pereira and T. A. Han, Intention recognition via causal Bayes networks plus plan generation," presented at the Progress in Artificial Intelligence, Proceedings of the 14th Portugese International Conference on Artificial Intelligence, 2009.

C. S. Pierce, Collected Papers, Band VII (Hrsg, 1958.

P. Michalak, Intention Recognition for Task Learning, 2005.

E. Charniak and R. P. Goldman, A Bayesian model of plan recognition, Artificial Intelligence, vol.64, issue.1, pp.53-79, 1993.
DOI : 10.1016/0004-3702(93)90060-O

T. A. Han and L. M. Pereira, State?of?the?Art of Intention Recognition and its use in Decision Making, Studies in Applied Philosophy, Epistemology and Rational Ethics, vol.2, pp.263-287, 2012.

K. Knonlige and M. Pollack, Ascribing plans to agents: preliminary report, presented at the International Joint Conference on Artificial Intelligence, 1989.

D. E. Appelt and M. E. Pollack, Weighted abduction for plan ascription, User Modelling and User-Adapted Interaction, vol.4, issue.1, pp.1-25, 1991.
DOI : 10.1007/BF01101857

A. Waern, Plan inference for a purpose, presented at the Fourth International Conference on User Modeling, 1994.

M. Bauer, A dempster-shafer approach to modeling agent preferences for plan recognition, User Modeling and User-Adapted Interaction, vol.32, issue.5, pp.317-348, 1996.
DOI : 10.1007/BF01126114

J. Pearl, Probabilistic Reasoning in Intelligent Systems, 1988.

B. Raskutti and I. Zukerman, Generation and selection of likely interpretations during plan recognition in task-oriented consultation systems, User Modeling and User-Adapted Interaction, vol.1, issue.4, pp.323-353, 1991.
DOI : 10.1007/BF00141048

D. W. Albrecht, I. Zukerman, and A. E. Nicholson, Bayesian models for keyhold plan recognition in an adventure game, User Modeling and User-Adapted Interaction, vol.8, issue.1/2, pp.5-47, 1998.
DOI : 10.1023/A:1008238218679

T. Dean and T. Wellman, Planning and Control, 1991.

D. V. Pynadath and M. P. Wellman, Accounting for context in plan recognition with applications to traffic monitoring, presented at the Conference on Uncertainty in Artificial Intelligence (UAI'95), 1995.

J. Forbes, T. Huang, K. Kanazawa, and S. Russell, The batmobile: towards a Bayesian automated taxi, presented at the The 24th International Joint Conference on Artificial Intelligence, 1995.

S. M. Brown, A decision theoretic approach for interface agent development, p.1998

R. P. Goldman, C. W. Geib, and C. Miller, A new model of plan recognition, presented at the Conference on Uncertainty in Artificial Intelligence (UAI'99), 1999.

H. Bui, S. Venkatesh, and G. West, Policy recognition in the abstract hidden markov model, Journal of Artificial Intelligence Research, vol.17, pp.451-499, 2002.

N. Blaylock and J. Allen, Corpus?based statistical goal recognition, presented at the 18th International Joint Conference on Artificial Intelligence (IJCAI'03), 2003.

H. Bui, A general model for online probabilistic plan recognition, presented at the 8th International Joint Conference on Artificial Intelligence (IJCAI'03), 2003.

M. Huber and R. Simpson, Recognizing the plans of screen reader users, Modeling Other Agents from Observations, 2004.

C. W. Geib, Assessing the complexity of plan recognition," presented at the Conference of the American Association of Artificial Intelligence, 2004.

K. A. Tahboub, Intelligent Human-Machine Interaction Based on Dynamic Bayesian Networks Probabilistic Intention Recognition, Journal of Intelligent and Robotic Systems, vol.4, issue.4, pp.31-52, 2006.
DOI : 10.1007/s10846-005-9018-0

O. C. Schrempf, D. Albrecht, and E. D. Hanebeck, Tractable probabilistic models for intention recognition based on expert knowledge, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2007.
DOI : 10.1109/IROS.2007.4399226

C. W. Geib and R. P. Goldman, A probabilistic plan recognition algorithm based on plan tree grammars, Artificial Intelligence, vol.173, issue.11, pp.1101-1132, 2009.
DOI : 10.1016/j.artint.2009.01.003

M. G. Armentano and A. Amandi, Goal recognition with variable?order markov model, presented at the 21st International Joint Conference on Artificial Intelligence, 2009.

T. A. Han and L. M. Pereira, Context?dependent and incremental intention recognition via Bayesian network model construction, Journal of Artificial Intelligence Research, 2011.

M. T. Cox and B. Kerkez, Case?based Plan Recognition with Novel Imputs, International Journal of Control and Intelligent Systems, vol.34, pp.96-104, 2006.

J. L. Kolodner, Case?based reasoning, 1993.

B. Kerkez and M. T. Cox, INCREMENTAL CASE-BASED PLAN RECOGNITION WITH LOCAL PREDICTIONS, International Journal on Artificial Intelligence Tools, vol.12, issue.04, pp.413-463, 2003.
DOI : 10.1142/S0218213003001307

C. K. Riesbeck and R. C. Schank, Inside case?based reasoning, 1989.

D. Leake, Case-based reasoning, The Knowledge Engineering Review, vol.9, issue.01, 1996.
DOI : 10.1017/S0269888900006585
URL : https://hal.archives-ouvertes.fr/hal-01060352

P. Taillandier, O. Therond, and B. Gaudou, A new BDI agent architecture based on the belief theory. Application to teh modelling of cropping plan decision?making, presented at the International Congress on Environmental Modelling and Software : Managing Resources of a Lmited Planet, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00714325

F. Dignum, D. Morley, E. A. Sonenberg, and L. Cavedon, Towards socially sophisticated BDI agents, Proceedings Fourth International Conference on MultiAgent Systems, 2000.
DOI : 10.1109/ICMAS.2000.858442

A. Pokahr, L. Braubach, and W. Lamersdorf, Jadex: A BDI Reasoning Engine, Multi?Agent Programming: Languages, Platforms, and Applications, pp.149-174, 2005.
DOI : 10.1007/0-387-26350-0_6

M. Rao and P. Georgeff, Formal models and decision procedures for multi? agent systems, 1995.

M. Rao and P. Georgeff, BDI?agents: From Theory to Practice, presented at the First INternational Conference on Multiagent Systems (ICMAS), 1995.

M. Georgeff, B. Pell, M. Pollack, M. Tambe, and M. Wooldridge, The Belief-Desire-Intention Model of Agency, 1999.
DOI : 10.1007/3-540-49057-4_1

S. Sardina, L. D. Silva, and L. Padgham, Hierarchical planning in BDI agent programming langauges: a formal approach, presented at the Fifth International Joint Conference on Autonomous Agents and Multiagent Systems, 2006.

H. Kautz and J. Allen, Generalized plan recognition," presented at the The Conference of the American Association of Artificial Intelligence (AAAI'1986), 1986.

B. Karlsson, A. E. Ciarlini, B. Feijo, and A. L. Furtado, Applying a plan? recognition / plan?generation paradigm to interactive storytelling, the LOGTELL case study, presented at the ICAPS06 Workshop on AI Planning for Computer Games and Synthetic Characters, 2006.

B. A. Goodman and D. J. Litman, On the interaction between plan recognition and intelligent interfaces, User Modelling and User-Adapted Interaction, vol.14, issue.4, pp.83-115, 1992.
DOI : 10.1007/BF01101860

N. Lesh, C. Rich, and C. L. Sidner, Using Plan Recognition in Human-Computer Collaboration, presented at the Seventh International Conference on User Modelling, Canada, 1999.
DOI : 10.1007/978-3-7091-2490-1_3

M. H. Nguyen and W. Wobcke, A Flexinble Framework for SharedPlan, presented at the Advances in Artificial Intelligence19th Australian Joint Conference on Artificial Intelligence, 2006.

S. Giroux, J. Bauchet, H. Pigot, D. Lusser?desrochers, and Y. Lachappelle, Pervasive behavior tracking for cognitive assistance, Proceedings of the 1st ACM international conference on PErvasive Technologies Related to Assistive Environments, PETRA '08, 2008.
DOI : 10.1145/1389586.1389684

C. Baum and D. Edwards, Cognitive Performance in Senile Dementia of the Alzheimer's Type: The Kitchen Task Assessment, American Journal of Occupational Therapy, vol.47, issue.5, 1993.
DOI : 10.5014/ajot.47.5.431

S. Carberry and S. Elzer, Exploiting Evidence Analysis in Plan Recognition, 2007.
DOI : 10.1007/978-3-540-73078-1_4

Z. Wang, M. Deisenroth, H. B. Amor, D. Vogt, N. Scholkopf et al., Probabilistic Modeling of Human Movements for Intention Inference, Robotics: Science and Systems VIII, 2012.
DOI : 10.15607/RSS.2012.VIII.055

H. Goto, J. Miura, and J. Sugiyama, Human?Robot Collaborative Assembly by On?line Human Action Recognition Based on an FSM Task Model, presented at the Human?Robot Interaction 2013 Workshop on Collaborative Manipulation, 2013.

D. C. Cheng and R. Thowanmas, Case?based plan recognition for real?time strategy games, presented at the 5th Game?On International Conference, 2004.

M. Buro and T. Furtak, RTS Games as Testbeds for Real?Time Research, presented at the Workshop on Game AI, JCIS, 2003.

J. Mayfield, Evaluating Plan Recognition Systems: Three Properties of a Good Explanation, Artificial Intelligence Review, vol.14, pp.351-376, 2000.
DOI : 10.1007/978-94-010-0874-7_16

J. Marvel, T. ?. Hong, and E. Messina, 2011 Solutions in Perception Challenge Performance Metrics and Results," presented at the Performance Metrics for Intelligent Systems (PerMIS) Conference, 2012.

M. Newman and S. Balakirsky, Contests in China Put Next?Generation Robot Technology to the Test, IEEE Robotics and Automation Magazine, 2011.

T. Choudhury and G. Borriello, The Mobile Sensing Platform: An Embedded Activity Recognition System, IEEE Pervasive Computing, vol.7, issue.2, 2008.
DOI : 10.1109/MPRV.2008.39

N. Ravi, N. Dandekar, P. Mysore, and M. Littman, Activity Recognition from Accelerometer Data, Seventeenth Conference on Innovative Applications of Artificial Intelligence (IAAI/AAAI), 2005.

R. Bodor, B. Jackson, and N. Papanikolopoulos, Vision?Based Human Tracking and Activity Recognition, presented at the 11th Mediterranean Conference on Control and Automation, 2003.

A. Hoogs and A. G. Perera, Video Activity Recognition in the Real World, presented at the American Association of Artificial Intelligence (AAAI) Conference, 2008.

J. Bateman, Situating Spatial Language and the Role of Ontology: Issues and Outlook, Language and Linguistics Compass, vol.9, issue.1, pp.639-664, 2010.
DOI : 10.1111/j.1749-818X.2010.00226.x

B. Smith and P. Grenon, The Cornucopia of Formal-Ontological Relations, Dialectica, vol.47, issue.2, pp.279-296, 2004.
DOI : 10.1111/j.1746-8361.2004.tb00305.x

C. Masolo, S. Borgo, A. Gangemi, N. Guarino, and A. Oltramari, Ontologies library (final)

B. Heller and H. Herre, General ontological language GOL: a formal framework for building and representing ontologies

N. Asher and L. Vieu, Towards a geometry of common sense: a semantics and a complete axiomatisation of mereotopology, presented at the 15th International Joint Conference on Atrificial Intelligence (IJCAI), 1995.

D. Lenat and R. Guha, Building Large Scale Knowledge?Based Systems: Representation and Inference in the Cyc Project, 1990.

A. Philpot, E. Hovy, and P. Pantel, The Omega ontology, 2005.
DOI : 10.1017/CBO9780511676536.016

I. Niles and A. Pease, Towards a standard upper ontology, Proceedings of the international conference on Formal Ontology in Information Systems , FOIS '01, 2001.
DOI : 10.1145/505168.505170

D. Oberle, A. Ankolekar, P. Hitzler, P. Cimiano, M. Sintek et al., DOLCE ergo SUMO: On foundational and domain models in the SmartWeb Integrated Ontology (SWIntO), Web Semantics: Science, Services and Agents on the World Wide Web, vol.5, issue.3, pp.156-174, 2007.
DOI : 10.1016/j.websem.2007.06.002

R. Casati and A. C. Varzi, Holes and other superficialities, 1994.

J. Bateman and S. Farrar, Spatial ontology baseline

P. Buitelaar, Semantic Lexicons: Between Terminology and Ontology, presented at the OntoLex Workshop on Ontologies and Lexical Knowledge Bases, Bulgaria, 2000.
DOI : 10.1017/cbo9780511676536.013

N. Guarino and C. Welty, An overview of OntoClean, pp.151-171, 2004.

C. Welty and W. Anderson, Towards OntoClean 2.0: a framework for rigidity, Applied Ontology, vol.1, pp.107-116, 2005.

J. Albrecht, Towards interoperable geo-information standards: A comparison of reference models for geo-spatial information, The Annals of Regional Science, vol.33, issue.2, pp.151-169, 1999.
DOI : 10.1007/s001680050098

P. Vossen, Euro WordNet: a multilingual database with lexical semantics networks, 1998.

C. F. Baker, C. Fillmore, and J. Lowe, The Berkeley FrameNet Project, 1998.

G. Miller, WordNet: an online lexical database, International Journal of Lexicography, vol.3, 1990.

K. Kipper?schuler, VerbNet: a broad?coverage, comp[rehensive verb lexicon

J. D. Kleer and J. S. Brown, A qualitative physics based on confluence. Formal theories of the commonsense world, 1985.

P. Simon, Parts: a study of ontology, 1987.

D. Mark, D. Comas, M. Egenhofer, S. Freundschuh, J. Gould et al., Evaluating and refining computational models of spatial relations through cross?linguistic human?subjects testing.," in Spatialinformation theory: a theoretical basis for GIS, pp.553-568, 1995.

J. Renz, R. Rauh, and M. Knauff, Towards cognitive adequancy of topological spatial relations," in Spatial cognition II ? integrating abstract theories, emperical studies, formal methods, and practical applications, pp.184-197, 2000.

R. Rauh, C. Hagen, M. Knauff, T. Kuss, C. Schlieder et al., Preferred and Alternative Mental Models in Spatial Reasoning, Spatial Cognition & Computation, vol.5, issue.2-3, pp.239-269, 2005.
DOI : 10.1080/13875868.2005.9683805

A. Klippel, R. Kai?florian, T. Barkowsky, and C. Freksa, The Cognitive Reality of Schematic Maps, Mp?based mobile services ? theories, methods, and implementations, pp.96-100, 2005.
DOI : 10.1007/3-540-26982-7_5

S. Kuehne and K. Forbus, Qualitative physics as a component in natural langauge semantics: a progress report, presented at the 24th Annual Meeting of the Cognitive Science Society, 2002.

M. Knauff, Stop using introspection to gather data for the design of computational modeling and spatial assistance," presented at the AAAI Spring Symposium on Reasoning with Mental and External Diagrams: Computational Modeling anf Spatial Assistance, 2005.

F. Wolter and M. Zakharyaschev, Spatio?temporal representation and reasoning based on RCC?8, 7th Conference on Principles of Knowledge Representation and Reasoning (KR2000), 2000.

J. Albath, J. Leopold, C. Sabharwal, and A. Maglia, RCC?3D: Qualitative Spatial Reasoning in 3D, presented at the 23rd International Conference on Computer Applications in Industry and Engineering (CAINE), 2010.

G. Ligozat, Qualitative triangulation for spatial reasoning, CPSIT 1993, pp.54-68, 1993.
DOI : 10.1007/3-540-57207-4_5

C. Freksa, Using orientation information for Qualitative spatial reasoning," in Theories and methods of spatio?temporal reasoning in geographic space A, pp.162-178, 1992.

C. Schlieder, Reasoning about ordering, COSIT, pp.341-349, 1995.
DOI : 10.1007/3-540-60392-1_22

R. Moratz, F. Dylla, and J. Frommberger, A relative orientation algebra with adjustable granularity, presented at the Proceedings of the Workshop on Agents in Real?Time and Dynamic Environments, 2005.

J. O. Wallgrun, L. Frommberger, D. Wolter, F. Dylla, and C. Freksa, Qualitative Spatial Representation and Reasoning in the SparQ-Toolbox, Spatial Cognition V, pp.39-58, 2006.
DOI : 10.1016/0004-3702(92)90090-K

J. Renz and B. Nebel, On the complexity of qualitative spatial reasoning: A maximal tractable fragment of the Region Connection Calculus, Artificial Intelligence, vol.108, issue.1-2, pp.69-123, 1999.
DOI : 10.1016/S0004-3702(99)00002-8

N. V. Weghe, A. G. Cohn, P. D. Maeyer, and F. Witlox, Representing moving objects in computer-based expert systems: the overtake event example, Expert Systems with Applications, vol.29, issue.4, pp.977-983, 2005.
DOI : 10.1016/j.eswa.2005.06.022

A. G. Cohn and S. M. Hazarika, Qualitative spatial representation and reasoning: An overview, Fundamenta Informaticae, vol.43, pp.2-32, 2001.

R. Moratz, T. Tenbrink, J. Bateman, and K. Fischer, Spatial Knowledge Representation for Human-Robot Interaction, Spatial Cognition III ? Lecture Nores in Computer Science, pp.263-285, 2003.
DOI : 10.1007/3-540-45004-1_16

J. Bateman and S. Farrar, Spatial Ontology Baseline Version 2.0

J. Bateman and S. Farrar, Towards a generic foundation for spatial ontology, presented at the Formal Ontology in Information Systems (FOIS), 2004.

F. Jackendoff, The architecture of the linguistic?spatial interface, Language and space, pp.1-30, 1999.

E. Stopp, K. Gapp, G. Herzog, T. Laengle, and T. Lueth, Utilizing spatial relations for natural language access to an autonomous mobile robot, 1994.
DOI : 10.1007/3-540-58467-6_4

P. Olivier and H. Tsujii, A computational view of the cognitive semantics of spatial prepositions, Proceedings of the 32nd annual meeting on Association for Computational Linguistics -, 1994.
DOI : 10.3115/981732.981774

C. Kray and A. Blocher, Modeling the basic meaning of path relations, presented at the 16th INternational Joint Conference on Artificial Intelligence (IJCAI), 1999.

M. Levit and D. Roy, Interpretation of Spatial Language in a Map Navigation Task, IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), vol.37, issue.3, pp.667-679, 2006.
DOI : 10.1109/TSMCB.2006.889809

N. Mavridis and D. Roy, Grounded Situation Models for Robots: Where words and percepts meet, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006.
DOI : 10.1109/IROS.2006.282258

L. Steels and M. Loetzsch, Perspective alignment in spatial language," in Spatial language and dialogue, pp.70-88, 2009.

A. Rashid, N. M. Sharif, M. J. Egenhofer, and D. M. Mark, Natutal?language spatial relations between linear and areal objects: the topology and metric of English?language terms, International Journal of Geographical Information Science, vol.12, pp.215-246, 1998.

M. Egenhofer, A. Rashid, and B. M. Shariff, Metric details for natural-language spatial relations, ACM Transactions on Information Systems, vol.16, issue.4, pp.295-321, 1998.
DOI : 10.1145/291128.291129

D. M. Mark, W. Kuhn, B. Smith, and A. G. Turk, Ontology, natiural language, and information systems: implications of cross?linguistic studies on geographic terms," presented at the 6th AGILE conference on geographic information science, 2003.

D. M. Mark and A. G. Turk, Landscape categories in Yindjibarndi: ontology, environment, and language," in Spatial information theory: foundations of geographic information science, pp.31-49, 2003.

C. Schlenoff, A. Pietromartire, S. Foufou, and S. Balakirsky, Ontology?Based State Representation for Robot Intention Recognition in Ubiquitous Environments, presented at the UBICOMP 2012 Workshop on "Smart Gadgets Meet Ubiquitous and Social Robots on the Web (UbiRobs), 2012.

C. Schlenoff, A. Pietromartire, Z. Kootbally, S. Balakirsky, and S. Foufou, Ontology-based state representation for intention recognition in cooperative human-robot environments, Proceedings of the 2012 ACM Conference on Ubiquitous Computing, UbiComp '12, pp.1224-1234, 2013.
DOI : 10.1145/2370216.2370404

J. Carbonera and C. Schlenoff, Defining Position in a Core Ontology for Robotics, RSJ International Conference on Intelligent Robots and Systems (IROS), 2013.

J. Tan, F. Duan, Y. Zhang, K. Watandbe, R. Kato et al., Hman?Robot Collaboration in Cellular Manufacturing Design and Development, presented at the International Conference on Information Systems (ICIS), 2009.

J. Shi, G. Jimmerson, T. Pearson, and R. Menassa, Levels of Human and Robot Collaboration for Automotive Manufacturing," presented at the Performance Metrics for Intelligent Systems (PerMIS), 2012.

S. Balakirsky, Z. Kootbally, C. Schlenoff, T. Kramer, and S. Gupta, An industrial robotic knowledge representation for kit building applications, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012.
DOI : 10.1109/IROS.2012.6385871

C. Schlenoff, E. Prestes, R. Madhavan, P. Goncalves, H. Li et al., An IEEE standard Ontology for Robotics and Automation, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012.
DOI : 10.1109/IROS.2012.6385518

F. Harmelen and D. Mcguiness, OWL Web Ontology Language Overview, W3C web site: http://www.w3.org/TR, 2004.

S. Balakirsky, Z. Kootbally, T. Kramer, A. Pietromartire, C. Schlenoff et al., Knowledge driven robotics for kitting applications, Robotics and Autonomous Systems, vol.61, issue.11, pp.1205-1214, 2013.
DOI : 10.1016/j.robot.2013.04.006

D. Nau, M. Ghallab, and P. Traverso, Automated Planning: Theory and Practice, 2004.

C. Schlenoff, S. Foufou, and S. Balakirsky, An Approach to Ontology?Based Intention Recognition Using State Representations, presented at the Fourth International Conference on Knowledge Engineering and Ontology Development, 2012.

C. Schlenoff, T. Hong, C. Liu, R. Eastman, and S. Foufou, A literature review of sensor ontologies for manufacturing applications, 2013 IEEE International Symposium on Robotic and Sensors Environments (ROSE)
DOI : 10.1109/ROSE.2013.6698425

C. Schlenoff, A. Pietromartire, and S. Foufou, Performance Evaluation of Intention Recognition in Human?Robot Collaborative Environments, The ITEA Journal, vol.34, 2013.

S. Carpin, M. Lewis, J. Wang, S. Balakirsky, and C. Scrapper, USARSim: a robot simulator for research and education, Proceedings 2007 IEEE International Conference on Robotics and Automation, 2007.
DOI : 10.1109/ROBOT.2007.363180

C. Scrapper, S. Balakirsky, and E. Messina, MOAST and USARSim: a combined framework for the development and testing of autonomous systems, Unmanned Systems Technology VIII, 2006.
DOI : 10.1117/12.663898

A. Jacoff, E. Messina, and J. Evans, A Reference Test Course for Urban Search and Rescue Robots, presented at the 14th International Florida Artificial Intelligence Research Society Conference, 2001.

I. Astrova, N. Korda, and A. Kalja, Storing OWL ontologies in SQL Relational Databases, World Academy of Science, Engineering and Technology, vol.29, pp.167-172, 2007.

C. Schlenoff and S. Foufou, Evaluating State-Based Intention Recognition Algorithms against Human Performance, Robot Intelligence Technology and Applications 2, pp.219-232, 2014.
DOI : 10.1007/978-3-319-05582-4_19

S. Carpin, M. Lewis, J. Wang, S. Balakirsky, and C. Scrapper, USARSim: a robot simulator for research and education, Proceedings 2007 IEEE International Conference on Robotics and Automation, 2007.
DOI : 10.1109/ROBOT.2007.363180

C. Schlenoff and S. Foufou, Comparing State?Based Intention Recognition to Human Performance, IEEE Transactions on Human?Machines Systems, p.2013