H. Robinson, B. Macdonald, and E. Broadbent, The Role of Healthcare Robots for Older People at Home: A Review, International Journal of Social Robotics, vol.19, issue.9, pp.575-591, 2014.
DOI : 10.1177/153331750401900209

T. Kruse, Human-aware robot navigation: A survey, Robotics and Autonomous Systems, vol.61, issue.12, pp.1726-1743, 2013.
DOI : 10.1016/j.robot.2013.05.007

URL : https://hal.archives-ouvertes.fr/hal-01684295

W. Burgard, The interactive museum tour-guide robot, pp.11-18, 1998.
DOI : 10.1016/s0004-3702(99)00070-3

URL : https://doi.org/10.1016/s0004-3702(99)00070-3

P. Althaus, Navigation for human-robot interaction tasks Robotics and Automation, Proceedings. ICRA'04 IEEE International Conference on, pp.1894-1900, 2004.
DOI : 10.1109/robot.2004.1308100

URL : http://www.irc.atr.jp/~kanda/pdf/philipp_icra2004.pdf

F. Lindner and C. Eschenbach, Towards a Formalization of Social Spaces for Socially Aware Robots, International Conference on Spatial Information Theory, pp.283-303, 2011.
DOI : 10.1007/978-3-642-23196-4_16

T. Edward and . Hall, A system for the notation of proxemic behavior, American anthropologist, vol.655, pp.1003-1026, 1963.

A. Kendon, Spacing and Orientation in Co-present Interaction, pp.1-15, 2010.
DOI : 10.1007/978-3-642-12397-9_1

T. Fraichard, R. Paulin, P. Reignier, and R. , Human-Robot Motion: An attention-based navigation approach, The 23rd IEEE International Symposium on Robot and Human Interactive Communication, pp.684-691, 2014.
DOI : 10.1109/ROMAN.2014.6926332

URL : https://hal.archives-ouvertes.fr/hal-01018471

S. Thrun, MINERVA: a second-generation museum tour-guide robot, Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C), 1999.
DOI : 10.1109/ROBOT.1999.770401

W. Burgard, Experiences with an interactive museum tour-guide robot, In: Artificial intelligence, vol.114, pp.1-2, 1999.

E. Prassler, J. Scholz, and P. Fiorini, Navigating a Robotic Wheelchair in a Railway Station during Rush Hour, The International Journal of Robotics Research, vol.18, issue.7, pp.711-727, 1999.
DOI : 10.1016/0954-1810(88)90025-8

R. Illah and . Nourbakhsh, An affective mobile robot educator with a full-time job, In: Artificial Intelligence, vol.1141, pp.95-124, 1999.

R. Siegwart, Design, implementation and exploitation of a new fully autonomous tour guide robot, 2003.

O. Kai, N. Arras, R. Tomatis, and . Siegwart, Robox, a remarkable mobile robot for the real world, Experimental Robotics VIII, pp.178-187, 2003.

A. Clodic, Rackham: An interactive robot-guide " . In: Robot and Human Interactive Communication, The 15th IEEE International Symposium on. IEEE, pp.502-509, 2006.
DOI : 10.1109/roman.2006.314378

URL : https://hal.archives-ouvertes.fr/hal-00480381

S. Thrun, Probabilistic algorithms and the interactive museum tourguide robot minerva, The International Journal of Robotics Research, vol.1911, pp.972-999, 2000.
DOI : 10.1177/02783640022067922

R. Illah, C. Nourbakhsh, T. Kunz, and . Willeke, The mobot museum robot installations: A five year experiment, Proceedings. 2003 IEEE/RSJ International Conference on, pp.3636-3641, 2003.

I. Macaluso, Experiences with CiceRobot, a Museum Guide Cognitive Robot, Advances in Artificial Intelligence, pp.474-482, 2005.
DOI : 10.1007/11558590_48

URL : http://www.pa.icar.cnr.it/cossentino/paper/aixia05.pdf

. Kuo-chen, J. Huang, L. Li, and . Fu, Human-oriented navigation for service providing in home environment, SICE Annual Conference 2010, Proceedings of. IEEE, pp.1892-1897, 2010.

C. Lam, Human-Centered Robot Navigation???Towards a Harmoniously Human???Robot Coexisting Environment, IEEE Transactions on Robotics, vol.27, issue.1, pp.99-112, 2011.
DOI : 10.1109/TRO.2010.2076851

. Soren-tranberg-hansen, Adaptive human aware navigation based on motion pattern analysis, RO-MAN 2009, The 18th IEEE International Symposium on Robot and Human Interactive Communication, pp.927-932, 2009.
DOI : 10.1109/ROMAN.2009.5326212

R. Kirby, R. Simmons, and J. Forlizzi, Companion: A constraint-optimizing method for person-acceptable navigation Robot and Human Interactive Communication, The 18th IEEE International Symposium on. IEEE, pp.607-612, 2009.

L. Scandolo and T. Fraichard, An anthropomorphic navigation scheme for dynamic scenarios Robotics and Automation (ICRA), IEEE International Conference on. IEEE. 2011, pp.809-814, 2011.
DOI : 10.1109/icra.2011.5979772

URL : https://hal.inria.fr/inria-00563693/file/11-icra-scandolo-fraichard.pdf

S. Emrah-akin, A human aware mobile robot motion planner, IEEE Transactions on Robotics, vol.235, issue.7, pp.874-883, 2007.

M. Svenstrup, T. Bak, and H. Andersen, Trajectory planning for robots in dynamic human environments, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.4293-4298, 2010.
DOI : 10.1109/IROS.2010.5651531

E. Twitchell and H. , The hidden dimension, 1966.

J. Kessler, C. Schroeter, and H. Gross, Approaching a Person in a Socially Acceptable Manner Using a Fast Marching Planner, International Conference on Intelligent Robotics and Applications, pp.368-377, 2011.
DOI : 10.1109/ROBOT.2007.363998

K. Dautenhahn, How may I serve you?, Proceeding of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction , HRI '06, pp.172-179, 2006.
DOI : 10.1145/1121241.1121272

URL : https://hal.archives-ouvertes.fr/hal-01976200

M. Svenstrup, Pose estimation and adaptive robot behaviour for humanrobot interaction Robotics and Automation ICRA'09, pp.3571-3576, 2009.

S. Hansen, Adaptive human aware navigation based on motion pattern analysis " . In: Robot and Human Interactive Communication, The 18th IEEE International Symposium on. IEEE, pp.927-932, 2009.

M. Luber, Socially-aware robot navigation: A learning approach In: Intelligent robots and systems (IROS), IEEE, pp.902-907, 2012.

G. Michael, . Efran, A. James, and . Cheyne, Shared space: The co-operative control of spatial areas by two interacting individuals, In: Canadian Journal of Behavioural Science/Revue canadienne des sciences du comportement, vol.53, p.201, 1973.

S. Eric and . Knowles, Group size and the extension of social space boundaries, In: Journal of Personality and Social Psychology, vol.335, p.647, 1976.

J. Rios-martinez, A. Spalanzani, and C. Laugier, Understanding human interaction for probabilistic autonomous navigation using Risk-RRT approach, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.2014-2019, 2011.
DOI : 10.1109/IROS.2011.6094496

URL : https://hal.archives-ouvertes.fr/inria-00633896

J. Rios-martinez, Navigating between people: A stochastic optimization approach, 2012 IEEE International Conference on Robotics and Automation, pp.2880-2885
DOI : 10.1109/ICRA.2012.6224934

URL : https://hal.archives-ouvertes.fr/hal-00679440

J. Rios-martinez, A. Spalanzani, and C. Laugier, From Proxemics Theory to Socially-Aware Navigation: A Survey, International Journal of Social Robotics, vol.26, issue.1, pp.137-153, 2015.
DOI : 10.1109/TRO.2009.2035747

URL : https://hal.archives-ouvertes.fr/hal-01067278

J. James, G. Gibson, J. Jack, . Man-gold, . William et al., The theory of affordances, pp.56-60, 2014.

G. Diego, T. Kai, and O. Arras, Please do not disturb! Minimum interference coverage for social robots, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.1968-1973, 2011.
DOI : 10.1109/IROS.2011.6094867

S. Sehestedt, S. Kodagoda, and G. Dissanayake, Robot path planning in a social context, 2010 IEEE Conference on Robotics, Automation and Mechatronics, pp.206-211, 2010.
DOI : 10.1109/RAMECH.2010.5513126

E. Martinson, Hiding the acoustic signature of a mobile robot, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.985-990, 2007.
DOI : 10.1109/IROS.2007.4399264

K. Kitazawa and T. Fujiyama, Pedestrian vision and collision avoidance behavior: Investigation of the information process space of pedestrians using an eye tracker " . In: Pedestrian and evacuation dynamics, pp.95-108, 2008.

L. Michael and . Walters, A long-term human-robot proxemic study, pp.137-142, 2011.

L. Takayama and C. Pantofaru, Influences on proxemic behaviors in human-robot interaction, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.5495-5502, 2009.
DOI : 10.1109/IROS.2009.5354145

J. Mumm and B. Mutlu, Human-robot proxemics, Proceedings of the 6th international conference on Human-robot interaction, HRI '11, pp.331-338, 2011.
DOI : 10.1145/1957656.1957786

M. Jeremy, . Wolfe, S. Todd, and . Horowitz, What attributes guide the deployment of visual attention and how do they do it? " In: Nature reviews neuroscience 5, pp.495-501, 2004.

L. Itti and C. Koch, Computational modelling of visual attention, Nature Reviews Neuroscience, vol.39, issue.3, pp.194-208, 2001.
DOI : 10.1016/S0042-6989(98)00242-9

J. Brian and . Scholl, Objects and attention: The state of the art, pp.1-46, 2001.

R. Desimone and J. Duncan, Neural Mechanisms of Selective Visual Attention, Annual Review of Neuroscience, vol.18, issue.1, pp.193-222, 1995.
DOI : 10.1146/annurev.ne.18.030195.001205

D. Parkhurst, K. Law, and E. Niebur, Modeling the role of salience in the allocation of overt visual attention, Vision Research, vol.42, issue.1, pp.107-123, 2002.
DOI : 10.1016/S0042-6989(01)00250-4

F. Baluch and L. Itti, Mechanisms of top-down attention, Trends in Neurosciences, vol.34, issue.4, pp.210-224, 2011.
DOI : 10.1016/j.tins.2011.02.003

I. Rock and D. Gutman, The effect of inattention on form perception., Journal of Experimental Psychology: Human Perception and Performance, vol.7, issue.2, p.275, 1981.
DOI : 10.1037/0096-1523.7.2.275

J. Duncan, Selective attention and the organization of visual information., Journal of Experimental Psychology: General, vol.113, issue.4, p.501, 1984.
DOI : 10.1037/0096-3445.113.4.501

I. Michael and . Posner, Orienting of attention, Quarterly journal of experimental psychology, vol.321, issue.17, pp.3-25, 1980.

A. Treisman, Features and Objects, pp.201-237, 1988.
DOI : 10.1093/acprof:osobl/9780199734337.003.0015

M. Goldsmith, What's in a location? Comparing object-based and spacebased models of feature integration in visual search, In: Journal of Experimental Psychology: General, vol.1272, p.189, 1998.

J. Zijiang, K. He, and . Nakayama, Visual attention to surfaces in three-dimensional space, Proceedings of the National Academy of Sciences 92, pp.11155-11159, 1995.

M. Kathleen, . O-'craven, E. Paul, N. Downing, and . Kanwisher, fMRI evidence for objects as the units of attentional selection, Nature, vol.4016753, pp.584-587, 1999.

D. Kahneman and A. Henik, Perceptual organization and attention, pp.181-211, 1981.

R. Egly, J. Driver, D. Robert, and . Rafal, Shifting visual attention between objects and locations: Evidence from normal and parietal lesion subjects., Journal of Experimental Psychology: General, vol.123, issue.2, p.161, 1994.
DOI : 10.1037/0096-3445.123.2.161

C. Koch and S. Ullman, Shifts in selective visual attention: towards the underlying neural circuitry " . In: Matters of intelligence, pp.115-141, 1987.

V. Navalpakkam and L. Itti, An Integrated Model of Top-Down and Bottom-Up Attention for Optimizing Detection Speed, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 2 (CVPR'06), 2006.
DOI : 10.1109/CVPR.2006.54

, IEEE, vol.2, pp.2049-2056, 2006.

L. Itti, C. Koch, and E. Niebur, A model of saliency-based visual attention for rapid scene analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.20, issue.11, pp.1254-1259, 1998.
DOI : 10.1109/34.730558

L. Itti and C. Koch, A saliency-based search mechanism for overt and covert shifts of visual attention, Vision Research, vol.40, issue.10-12, pp.1489-1506, 2000.
DOI : 10.1016/S0042-6989(99)00163-7

J. Robert, L. Peters, and . Itti, Beyond bottom-up: Incorporating task-dependent influences into a computational model of spatial attention, IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2007.

H. John, . Reynolds, J. David, and . Heeger, The normalization model of attention, pp.168-185, 2009.

J. David and . Heeger, Normalization of cell responses in cat striate cortex, Visual neuroscience 9.02, pp.181-197, 1992.

J. Maisonnasse, Attentional Model for Perceiving Social Context in Intelligent Environments, IFIP International Conference on Artificial Intelligence Applications and Innovations, pp.171-178, 2006.
DOI : 10.1007/0-387-34224-9_20

W. Charles, Y. Eriksen, and . Yeh, Allocation of attention in the visual field, In: Journal of Experimental Psychology: Human Perception and Performance, vol.115, p.583, 1985.

W. Charles, J. Eriksen, and . James, Visual attention within and around the field of focal attention: A zoom lens model " . In: Perception & psychophysics 40, pp.225-240, 1986.

P. Cavanagh, A. George, and . Alvarez, Tracking multiple targets with multifocal attention, Trends in cognitive sciences 9, pp.349-354, 2005.
DOI : 10.1016/j.tics.2005.05.009

A. Stephanie, . Mcmains, C. David, and . Somers, Multiple spotlights of attentional selection in human visual cortex, Neuron, vol.424, pp.677-686, 2004.

M. Anne, G. Treisman, and . Gelade, A feature-integration theory of attention, Cognitive psychology, vol.121, pp.97-136, 1980.

H. Pashler, Target-distractor discriminability in visual search, Perception & Psychophysics, vol.35, issue.2, pp.285-292, 1987.
DOI : 10.3758/BF03205927

J. Duncan and G. W. Humphreys, Visual search and stimulus similarity., Psychological Review, vol.96, issue.3, p.433, 1989.
DOI : 10.1037/0033-295X.96.3.433

L. Allen, . Nagy, R. Robert, and . Sanchez, Critical color differences determined with a visual search task, JOSA A 7, pp.1209-1217, 1990.

A. Treisman, Search, similarity, and integration of features between and within dimensions., Journal of Experimental Psychology: Human Perception and Performance, vol.17, issue.3, p.652, 1991.
DOI : 10.1037/0096-1523.17.3.652

M. Jeremy and . Wolfe, Guided search 2.0 a revised model of visual search, Psychonomic bulletin & review 1, pp.202-238, 1994.

C. Vira and Y. Y. Haimes, Multiobjective decision making: theory and methodology, 1983.

K. Bringmann, Approximation-guided evolutionary multi-objective optimization, IJCAI Proceedings-International Joint Conference on Artificial Intelligence, p.1198, 2011.

M. Gendreau and J. Potvin, Handbook of metaheuristics, 2010.
DOI : 10.1007/978-1-4419-1665-5

K. Deb, Multi-objective optimization using evolutionary algorithms, 2001.

C. A. , C. Coello, B. Gary, D. A. Lamont, and . Van-veldhuizen, Evolutionary algorithms for solving multi-objective problems, 2007.

M. Carlos, . Fonseca, J. Peter, and . Fleming, An overview of evolutionary algorithms in multiobjective optimization, Evolutionary computation, vol.31, pp.1-16, 1995.

J. Schaffer, Multiple objective optimization with vector evaluated genetic algorithms, Proceedings of the 1st international Conference on Genetic Algorithms . L. Erlbaum Associates Inc. 1985, pp.93-100

E. Zitzler and L. Thiele, Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach, IEEE transactions on Evolutionary Computation, pp.257-271, 1999.
DOI : 10.1109/4235.797969

E. David and . Golberg, Genetic algorithms in search, optimization, and machine learning, p.102, 1989.

E. David, J. Goldberg, and . Richardson, Genetic algorithms with sharing for multimodal function optimization, Genetic algorithms and their applications: Proceedings of the Second International Conference on Genetic Algorithms. Hillsdale , NJ: Lawrence Erlbaum, pp.41-49, 1987.

B. Sareni and L. Krahenbuhl, Fitness sharing and niching methods revisited, IEEE Transactions on Evolutionary Computation, vol.2, issue.3, pp.97-106, 1998.
DOI : 10.1109/4235.735432

URL : https://hal.archives-ouvertes.fr/hal-00359799

K. Deb, A fast and elitist multiobjective genetic algorithm: NSGA-II, IEEE Transactions on Evolutionary Computation, vol.6, issue.2, pp.182-197, 2002.
DOI : 10.1109/4235.996017

E. Ziztler, L. Laumanns, and . Thiele, Spea2: Improving the strength pareto evolutionary algorithm for multiobjective optimization, In: Evolutionary Methods for Design, Optimization, and Control, pp.95-100, 2002.

D. Joshua, . Knowles, W. David, and . Corne, Approximating the nondominated front using the Pareto archived evolution strategy, Evolutionary computation 8, pp.149-172, 2000.

M. Laumanns, E. Zitzler, and L. Thiele, A unified model for multiobjective evolutionary algorithms with elitism, Proceedings of the 2000 Congress on, pp.46-53, 2000.

M. Laumanns, Combining Convergence and Diversity in Evolutionary Multiobjective Optimization, Evolutionary Computation, vol.9, issue.3, pp.263-282, 2002.
DOI : 10.1109/4235.797969

K. Deb and M. Abouhawwash, An optimality theory based proximity measure for set based multi-objective optimization, 2012.

E. Zitzler, Evolutionary algorithms for multiobjective optimization: Methods and applications, 1999.

M. Fleischer, The Measure of Pareto Optima Applications to Multi-objective Metaheuristics, International Conference on Evolutionary Multi-Criterion Optimization, pp.519-533, 2003.
DOI : 10.1007/3-540-36970-8_37

J. Knowles and D. Corne, Properties of an adaptive archiving algorithm for storing nondominated vectors, IEEE Transactions on Evolutionary Computation, vol.7, issue.2, pp.100-116, 2003.
DOI : 10.1109/TEVC.2003.810755

L. While, A faster algorithm for calculating hypervolume, IEEE Transactions on Evolutionary Computation, vol.10, issue.1, pp.29-38, 2006.
DOI : 10.1109/TEVC.2005.851275

H. Ishibuchi, N. Tsukamoto, and Y. Nojima, Evolutionary manyobjective optimization: A short review In: IEEE congress on evolutionary computation, pp.2419-2426, 2008.

C. Robin, . Purshouse, J. Peter, and . Fleming, On the evolutionary optimization of many conflicting objectives, IEEE Transactions on Evolutionary Computation, vol.116, pp.770-784, 2007.

F. Salem, . Adra, J. Peter, and . Fleming, Diversity management in evolutionary manyobjective optimization, IEEE Transactions on Evolutionary Computation, vol.152, pp.183-195, 2011.

K. Yong, N. Hwang, and . Ahuja, Gross motion planning?a survey, In: ACM Computing Surveys (CSUR), vol.243, pp.219-291, 1992.

M. Steven and . Lavalle, Planning algorithms, 2006.

F. Ahmed and K. Deb, Multi-objective path planning using spline representation, 2011 IEEE International Conference on Robotics and Biomimetics, pp.1047-1052
DOI : 10.1109/ROBIO.2011.6181426

F. Ahmed and K. Deb, Multi-objective optimal path planning using elitist non-dominated sorting genetic algorithms, Soft Computing, vol.11, issue.6, pp.1283-1299, 2013.
DOI : 10.1109/TEVC.2007.892759

J. Yuan, Step-spreading map knowledge based multi-objective genetic algorithm for robot-path planning, IEEE International Conference on Systems, Man and Cybernetics. IEEE, pp.3402-3407, 2007.

J. Wei and J. Liu, Collision-Free Composite ?3–Splines Generation for Nonholonomic Mobile Robots by Parallel Variable-Length Genetic Algorithm, 2008 International Conference on Computational Intelligence for Modelling Control & Automation, pp.545-550, 2008.
DOI : 10.1109/CIMCA.2008.200

J. Wei and J. Liu, Generating minimax-curvature and shorter ? 3-spline path using multi-objective variable-length genetic algorithm, 2010 International Conference on. IEEE. 2010, pp.319-324

H. Chang, High-quality path planning for autonomous mobile robots with ?3-splines and parallel genetic algorithms, Robotics and Biomimetics, pp.1671-1677, 2008.

D. Kenneth and . Jong, Evolutionary computation: a unified approach, 2006.

O. Castilho and L. Trujilo, Multiple Objective Optimization Genetic Algorithms For Path Planning In Autonomous Mobile Robots, In: Int. J. Comput. Syst. Signal, vol.61, pp.48-63, 2005.

O. Castillo, L. Trujillo, and P. Melin, Multiple objective genetic algorithms for path-planning optimization in autonomous mobile robots, In: Soft Computing, vol.113, pp.269-279, 2007.

A. Hidalgo-paniagua, Solving the multi-objective path planning problem in mobile robotics with a firefly-based approach, Soft Computing, vol.3, issue.4, pp.1-16, 2015.
DOI : 10.1109/4235.797969

A. Hidalgo-paniagua, MOSFLA-MRPP: Multi-Objective Shuffled Frog-Leaping Algorithm applied to Mobile Robot Path Planning, Engineering Applications of Artificial Intelligence, vol.44, pp.123-136, 2015.
DOI : 10.1016/j.engappai.2015.05.011

A. Hidalgo-paniagua, M. A. Vega-rodríguez, and J. Ferruz, Applying the MOVNS (multi-objective variable neighborhood search) algorithm to solve the path planning problem in mobile robotics, Expert Systems with Applications, vol.58, pp.20-35, 2016.
DOI : 10.1016/j.eswa.2016.03.035

H. Jun and Z. Qingbao, Multi-objective Mobile Robot Path Planning Based on Improved Genetic Algorithm, 2010 International Conference on Intelligent Computation Technology and Automation, pp.752-756, 2010.
DOI : 10.1109/ICICTA.2010.300

W. W. Eric, ?. Mathworld, and . Resource, Bézier Curve

M. Wagner, Efficient optimization of many objectives by approximationguided evolution, European Journal of Operational Research, vol.2432, issue.43, pp.465-479, 2015.

K. Deb and A. Srinivasan, Innovization, Proceedings of the 8th annual conference on Genetic and evolutionary computation , GECCO '06, pp.1629-1636, 2006.
DOI : 10.1145/1143997.1144266

A. Gaur and K. Deb, Adaptive Use of Innovization Principles for a Faster Convergence of Evolutionary Multi-Objective Optimization Algorithms, Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion, GECCO '16 Companion, 2016.
DOI : 10.1162/106365600568202

T. Rida, T. Farouki, and . Sakkalis, Pythagorean hodographs, In: IBM Journal of Research and Development, vol.345, pp.736-752, 1990.

H. Bruyninckx and D. Reynaerts, Path planning for mobile and hyper-redundant robots using Pythagorean hodograph curves, 1997 8th International Conference on Advanced Robotics. Proceedings. ICAR'97, pp.595-600, 1997.
DOI : 10.1109/ICAR.1997.620243

J. Connors and G. Elkaim, Manipulating B-Spline based paths for obstacle avoidance in autonomous ground vehicles, In: ION National Technical Meeting, ION NTM. Citeseer, pp.22-24, 2007.

K. Deb and S. Tiwari, Omni-optimizer: A generic evolutionary algorithm for single and multi-objective optimization, European Journal of Operational Research, vol.185, issue.3, pp.1062-1087, 2008.
DOI : 10.1016/j.ejor.2006.06.042

A. Dworak, Middleware trends and market leaders, Conf. Proc, vol.111010, pp.5-53, 2011.

N. Koenig and A. Howard, Design and use paradigms for gazebo, an open-source multi-robot simulator, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566), pp.2149-2154, 2004.
DOI : 10.1109/IROS.2004.1389727

E. Rohmer, P. Surya, M. Singh, and . Freese, V-REP: A versatile and scalable robot simulation framework, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.1321-1326
DOI : 10.1109/IROS.2013.6696520