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Neural Computing and Applications

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08.11.2018 | EANN 2017

A neuroplasticity-inspired neural circuit for acoustic navigation with obstacle avoidance that learns smooth motion paths

verfasst von: Danish Shaikh, Poramate Manoonpong

Erschienen in: Neural Computing and Applications | Ausgabe 6/2019

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Abstract

Acoustic spatial navigation for mobile robots is relevant in the absence of reliable visual information about the target that must be localised. Reactive robot navigation in such goal-directed phonotaxis tasks requires generating smooth motion paths towards the acoustic target while simultaneously avoiding obstacles. We have reported earlier on a neural circuit for acoustic navigation which learned stable robot motion paths for a simulated mobile robot. However, in complex environments, the learned motion paths were not smooth. Here, we extend our earlier architecture, by adding a path-smoothing behaviour, to generate smooth motion paths for a simulated mobile robot. This allows the robot to learn to smoothly navigate towards a virtual sound source while avoiding randomly placed obstacles in the environment. We demonstrate through five independent learning trials in simulation that the proposed extension learns motion paths that are not only smooth but also relatively shorter as compared to those generated without learning as well as by our earlier architecture.

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Modified from https://en.wikipedia.org/wiki/Nonsynaptic_plasticity#/media/File:Neurons_big1.jpg.

Alves S, Rosario J, Ferasoli Filho H, Rincon L, Yamasaki R (2011) Conceptual bases of robot navigation modeling, control and applications. In: Barrera A (ed) Advances in robot navigation. InTech, London. https://doi.org/10.5772/20955

Andersson S, Shah V, Handzel A, Krishnaprasad P (2004) Robot phonotaxis with dynamic sound source localization. In: Proceedings of IEEE international conference on robotics and automation, 2004. ICRA ’04, vol 5, pp 4833–4838. https://doi.org/10.1109/ROBOT.2004.1302483

Arkin R (1998) Behavior-based robotics. MIT Press, Cambridge

Bicho E, Mallet P, Schöner G (2000) Target representation on an autonomous vehicle with low-level sensors. Int J Robot Res 19(5):424–447. https://doi.org/10.1177/02783640022066950 CrossRef

Braitenberg V (1984) Vehicles: experiments in synthetic psychology. MIT Press, Cambridge

Brooks R (1986) A robust layered control system for a mobile robot. IEEE J Robot Autom 2(1):14–23. https://doi.org/10.1109/JRA.1986.1087032 CrossRef

Choi JW, Curry R, Elkaim G (2008) Path planning based on Bézier curve for autonomous ground vehicles. In: Advances in electrical and electronics engineering—IAENG special edition of the world congress on engineering and computer science 2008, pp 158–166 . https://doi.org/10.1109/WCECS.2008.27

Christensen-Dalsgaard J, Manley G (2005) Directionality of the lizard ear. J Exp Biol 208(6):1209–1217CrossRef

Dasgupta S, Wörgötter F, Manoonpong P (2014) Neuromodulatory adaptive combination of correlation-based learning in cerebellum and reward-based learning in basal ganglia for goal-directed behavior control. Front Neural Circuits 8:126. https://doi.org/10.3389/fncir.2014.00126 CrossRef

10.

Dudek G, Jenkin M (2010) Computational principles of mobile robotics, 2nd edn. Cambridge University Press, New YorkCrossRefMATH

11.

Farin G (2001) Curves and surfaces for CAGD: a practical guide. The Morgan Kaufmann series in computer graphics. Elsevier, Amsterdam

12.

Fletcher N, Thwaites S (1979) Physical models for the analysis of acoustical systems in biology. Q Rev Biophys 12(1):25–65CrossRef

13.

Fraichard T, Scheuer A (2004) From Reeds and Shepp’s to continuous-curvature paths. IEEE Trans Robot 20(6):1025–1035. https://doi.org/10.1109/TRO.2004.833789 CrossRef

14.

Franz M, Mallot H (2000) Biomimetic robot navigation. Robot Auton Syst 30(1):133–153. https://doi.org/10.1016/S0921-8890(99)00069-X CrossRef

15.

Hebb D (2005) The organization of behavior: a neuropsychological theory. Psychology Press, London

16.

Huang J, Supaongprapa T, Terakura I, Wang F, Ohnishi N, Sugie N (1999) A model-based sound localization system and its application to robot navigation. Robot Auton Syst 27(4):199–209. https://doi.org/10.1016/S0921-8890(99)00002-0 CrossRef

17.

Hwang BY, Park SH, Han JH, Kim MG, Lee JM (2014) Sound-source tracking and obstacle avoidance system for the mobile robot. Springer, Cham, pp 181–192. https://doi.org/10.1007/978-3-319-05711-8_19

18.

Kanayama Y, Hartman B (1997) Smooth local-path planning for autonomous vehicles. Int J Robot Res 16(3):263–284. https://doi.org/10.1177/027836499701600301 CrossRef

19.

Klopf A (1988) A neuronal model of classical conditioning. Psychobiology 16(2):85–125

20.

Komoriya K, Tanie K (1989) Trajectory design and control of a wheel-type mobile robot using B-spline curve. In: Proceedings of IEEE/RSJ international workshop on intelligent robots and systems ’89. The autonomous mobile robots and its applications. IROS ’89, pp 398–405. https://doi.org/10.1109/IROS.1989.637937

21.

Kosko B (1986) Differential Hebbian learning. AIP Conf Proc 151(1):277–282CrossRef

22.

Lamiraux F, Lammond JP (2001) Smooth motion planning for car-like vehicles. IEEE Trans Robot Autom 17(4):498–501. https://doi.org/10.1109/70.954762 CrossRef

23.

LaValle S (2006) Planning algorithms. Cambridge University Press, Cambridge. https://doi.org/10.1017/CBO9780511546877 CrossRefMATH

24.

Magid E, Keren D, Rivlin E, Yavneh I (2006) Spline-based robot navigation. In: 2006 IEEE/RSJ international conference on intelligent robots and systems, pp 2296–2301. https://doi.org/10.1109/IROS.2006.282635

25.

Manoonpong P, Kolodziejski C, Wörgötter F, Morimoto J (2013) Combining correlation-based and reward-based learning in neural control for policy improvement. Adv Complex Syst 16(02n03):1350,015. https://doi.org/10.1142/S021952591350015X MathSciNetCrossRef

26.

Manoonpong P, Wörgötter F (2009) Neural information processing. In: Proceedings of the 16th international conference, ICONIP 2009, part II, chap. adaptive sensor-driven neural control for learning in walking machines, Bangkok, Thailand, 1–5 December 2009. Springer, Berlin, pp 47–55

27.

Nakhaeinia D, Tang S, Noor S, Motlagh O (2011) A review of control architectures for autonomous navigation of mobile robots. Int J Phys Sci 6(2):169–174

28.

Ön S, Yazici A (2011) A comparative study of smooth path planning for a mobile robot considering kinematic constraints. In: 2011 international symposium on innovations in intelligent systems and applications, pp 565–569. https://doi.org/10.1109/INISTA.2011.5946138

29.

Porr B, Wörgötter F (2006) Strongly improved stability and faster convergence of temporal sequence learning by utilising input correlations only. Neural Comput 18(6):1380–1412CrossRefMATH

30.

Porr B, Wörgötter F (2007) Fast heterosynaptic learning in a robot food retrieval task inspired by the limbic system. Biosystems 89(1–3):294–299 (Selected Papers presented at the 6th International Workshop on Neural Coding)CrossRef

31.

Purves D, Augustine G, Fitzpatrick D, Hall W, LaMantia A, White L (2012) Synaptic plasticity. Neuroscience, 5th edn. Sinauer Associates, Sunderland, pp 163–182

32.

Ravankar A, Ravankar A, Kobayashi Y, Emaru T (2016) Path smoothing extension for various robot path planners. In: 2016 16th international conference on control, automation and systems (ICCAS), pp 263–268. https://doi.org/10.1109/ICCAS.2016.7832330

33.

Shaikh D, Hallam J, Christensen-Dalsgaard J (2010) Modifying directionality through auditory system scaling in a robotic lizard. Springer, Berlin, pp 82–92. https://doi.org/10.1007/978-3-642-15193-4_8

34.

Shaikh D, Hallam J, Christensen-Dalsgaard J (2016) From ear to there: a review of biorobotic models of auditory processing in lizards. Biol Cybern 110(4):303–317. https://doi.org/10.1007/s00422-016-0701-y CrossRefMATH

35.

Shaikh D, Manoonpong P (2017) A neural circuit for acoustic navigation combining heterosynaptic and non-synaptic plasticity that learns stable trajectories. Springer, Cham, pp 544–555. https://doi.org/10.1007/978-3-319-65172-9_46

36.

Takahashi A, Hongo T, Ninomiya Y, Sugimoto G (1989) Local path planning and motion control for AGV in positioning. In: Proceedings of IEEE/RSJ international workshop on intelligent robots and systems ’89. IROS ’89. The autonomous mobile robots and its applications, pp 392–397. https://doi.org/10.1109/IROS.1989.637936

37.

Wever E (1978) The reptile ear: its structure and function. Princeton University Press, Princeton

38.

Zeno P, Patel S, Sobh T (2016) Review of neurobiologically based mobile robot navigation system research performed since 2000. J Robot. https://doi.org/10.1155/2016/8637251

39.

Zhang W, Linden D (2003) The other side of the engram: experience-driven changes in neuronal intrinsic excitability. Nat Rev Neurosci 4(11):885–900. https://doi.org/10.1038/nrn1248 CrossRef

40.

Zu L, Yang P, Zhang Y, Chen L, Sun H (2009) Study on navigation system of mobile robot based on auditory localization. In: 2009 IEEE international conference on robotics and biomimetics (ROBIO), pp 321–326. https://doi.org/10.1109/ROBIO.2009.5420665

41.

Zuojun L, Guangyao L, Peng Y, Feng L, Chu C (2012) Behavior based rescue robot audio navigation and obstacle avoidance. In: Proceedings of the 31st Chinese control conference, pp 4847–4851

Titel: A neuroplasticity-inspired neural circuit for acoustic navigation with obstacle avoidance that learns smooth motion paths
verfasst von: Danish Shaikh
Poramate Manoonpong
Publikationsdatum: 08.11.2018
Verlag: Springer London
Erschienen in: Neural Computing and Applications / Ausgabe 6/2019
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI: https://doi.org/10.1007/s00521-018-3845-y

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