Abstract
The incorporation of service robots in human populated environments gives rise to the adaptation of cruise strategies that allow robots to move in a natural, secure and ordinary manner among their cohabitants. Therefore, robots should firstly apprehend their space similarly with the people and, secondly, should adopt human motion anticipation strategies in their planning mechanism. The paper at hand introduces a closed-loop human oriented robot navigation strategy, where on-board a moving robot, multimodal human detection and tracking methods are deployed to predict human motion intention in the shared workspace. The human occupied space is probabilistically constrained following the proxemics theory. The impact of human presence in the commonly shared space is imprinted to the robot’s navigation behaviour after undergoing a social filtering step based on the inferred walking pattern. The proposed method has been integrated with a robotic platform and extensively evaluated in terms of socially acceptable behaviour in real-life experiments exhibiting increased navigation capacity in human populated environments.
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References
Buttimer, A., Seamon, D.: The Human Experience of Space and Place. Routledge, Abingdon (2015)
Charalampous, K., Kostavelis, I., Gasteratos, A.: Robot navigation in large-scale social maps: an action recognition approach. Expert Syst. Appl. 66, 261–273 (2016)
Flaherty, G.: Dementia and Wandering Behavior: Concern for the Lost Elder. Springer Publishing Company, Heidelberg (2006)
Fulgenzi, C., Tay, C., Spalanzani, A., Laugier, C.: Probabilistic navigation in dynamic environment using rapidly-exploring random trees and Gaussian processes. In: IROS, pp. 1056–1062. IEEE (2008)
Hall, E.T.: The Hidden Dimension, vol. 1990. Anchor Books, New York (1969)
Kim, B., Pineau, J.: Socially adaptive path planning in human environments using inverse reinforcement learning. Int. J. Soc. Robot. 8(1), 51–66 (2016)
Kirby, R., Simmons, R., Forlizzi, J.: Companion: a constraint-optimizing method for person-acceptable navigation. In: RO-MAN 2009, pp. 607–612. IEEE (2009)
Large, F., Vasquez, D., Fraichard, T., Laugier, C.: Avoiding cars and pedestrians using velocity obstacles and motion prediction. In: Intelligent Vehicles Symposium, pp. 375–379. IEEE (2004)
Leigh, A., Pineau, J.: Laser-based person tracking for clinical locomotion analysis. In: IROS-Rehabilitation and Assistive Robotics (2014)
Luber, M., Spinello, L., Silva, J., Arras, K.O.: Socially-aware robot navigation: a learning approach. In: IROS, pp. 902–907. IEEE (2012)
Mac, T.T., Copot, C., Tran, D.T., De Keyser, R.: Heuristic approaches in robot path planning: a survey. RAS 86, 13–28 (2016)
Papadakis, P., Spalanzani, A., Laugier, C.: Social mapping of human-populated environments by implicit function learning. In: IROS, pp. 1701–1706. IEEE (2013)
Sisbot, E.A., Marin-Urias, L.F., Alami, R., Simeon, T.: A human aware mobile robot motion planner. IEEE TRO 23(5), 874–883 (2007)
Svenstrup, M., Bak, T., Andersen, H.J.: Trajectory planning for robots in dynamic human environments. In: IROS, pp. 4293–4298. IEEE (2010)
Talebpour, Z., Navarro, I., Martinoli, A.: On-board human-aware navigation for indoor resource-constrained robots: a case-study with the ranger. In: Symposium System Integration, pp. 63–68. IEEE (2015)
Trautman, P., Ma, J., Murray, R.M., Krause, A.: Robot navigation in dense human crowds: statistical models and experimental studies of human-robot cooperation. IJRR 34(3), 335–356 (2015)
Unhelkar, V.V., Pérez-D’Arpino, C., Stirling, L., Shah, J.A.: Human-robot co-navigation using anticipatory indicators of human walking motion. In: ICRA, pp. 6183–6190. IEEE (2015)
Acknowledgments
This work has been supported by the EU Horizon 2020 funded project namely: “Robotic Assistant for MCI Patients at home (RAMCIP)” under the grant agreement with no: 643433.
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Kostavelis, I., Kargakos, A., Giakoumis, D., Tzovaras, D. (2017). Robot’s Workspace Enhancement with Dynamic Human Presence for Socially-Aware Navigation. In: Liu, M., Chen, H., Vincze, M. (eds) Computer Vision Systems. ICVS 2017. Lecture Notes in Computer Science(), vol 10528. Springer, Cham. https://doi.org/10.1007/978-3-319-68345-4_25
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DOI: https://doi.org/10.1007/978-3-319-68345-4_25
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