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27
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Autonomous Syst 61(12):1726–1743
25. Zhang Z, Yue S, Zhang G (2015) Fly visual system inspired artificial neural network for
collision detection. Neurocomputing 153:221–234
26. Song C, Xie S, Zhou Z et al (2015) Modeling of pneumatic artificial muscle using a hybrid
artificial neural network approach. Mechatronics 31:124–131
27. Mano M, Capi G, Tanaka N et al (2013) An artificial neural network based robot controller
that uses rat’s brain signals. Robotics 2(2):54–65
28. Nguyen HN, Zhou J, Kang HJ (2015) A calibration method for enhancing robot accuracy
through integration of an extended Kalman filter algorithm and an artificial neural network.
Neurocomputing 151:996–1005
29. Soltanpour MR, Khooban MH (2013) A particle swarm optimization approach for fuzzy sliding
mode control for tracking the robot manipulator. Nonlinear Dyn 74(1–2):467–478
30. Fateh MM, Azargoshasb S (2014) Discrete adaptive fuzzy control for asymptotic tracking of
robotic manipulators. Nonlinear Dyn 78(3):2195–2204
31. Zhou Q, Li H, Shi P (2015) Decentralized adaptive fuzzy tracking control for robot finger
dynamics. IEEE Trans Fuzzy Syst 23(3):501–510
32. Ferrauto T, Parisi D, Di Stefano G et al (2013) Different genetic algorithms and the evolution
of specialization: a study with groups of simulated neural robots. Artif Life 19(2):221–253
33. Arkin RC (1998) Behaviour Based Robotics. MIT Press, Cambridge, USA
34. Verschure P, Voegtlin T, Douglas RJ (2003) Environmentally mediated synergy between
perception and behaviour in mobile robots. Nature 425(6958):620–624
35. Verschure P, Althaus P (2003) A real-world rational agent: Unifying old and new AI. Cogn Sci
27(4):561–590
36. Fuster JM (2003) Cortex and Mind: Unifying Cognition. Oxford University Press, Oxford
37. Freeman WJ (1987) Simulation of chaotic EEG patterns with a dynamic model of the olfactory
system. Biol Cybern 56(2–3):139–150
38. Freeman WJ (1991) The physiology of perception. Sci Am 264(2):78–85
39. Freeman WJ (2003) A neurobiological theory of meaning in perception, Part I: Information and
meaning in nonconvergent and nonlocal brain dynamics. Int J Bifur Chaos 13(9):2493–2511
40. Freeman WJ (2004) How and why brains create meaning from sensory information. Int J Bifur
Chaos 14(2):515–530
41. Harter D, Kozma R (2005) Chaotic neurodynamics for autonomous agents. IEEE Trans Neural
Netw 16(3):565–579
42. Islam M, Murase K (2005) Chaotic dynamics of a behavior-based miniature mobile robot:
Effects of environment and control structure. Neural Netw 18(2):123–144
43. Arena P, De Fiore S, Fortuna L et al (2008) Perception-action map learning in controlled
multiscroll systems applied to robot navigation. Chaos, 18(4), No.043119
44. Kozma R, Freeman WJ (2009) The KIV model of intentional dynamics and decision making.
Neural Netw 22(3):277–285
45. Ohl FW, Scheich H, Freeman WJ (2001) Change in pattern of ongoing cortical activity with
auditory category learning. Nature 412(6848):733–736
46. Webb B (2002) Robots in invertebrate neuroscience. Nature 417(6886):259–363
47. Pennisi E (2007) Behavior - robot cockroach tests insect decision-making behavior. Science
318(5853):1055
48. Yu X, Sun Y, Liu J et al (2009) Autonomous navigation for unmanned aerial vehicles based on
chaotic bionics theory. J Bionic Eng 6(3):270–279
49. Yu X, Sun Y, Liu J et al (2009) Autonomous guidance for intelligent missile based on chaotic
perception-action dynamics. J Aerosp Eng 223(G7):853–862
50. Yu X, Sun Y, Liu J et al (2010) Autonomous spatial orientation of robots using chaotic cognition
and geometric cues. J Syst Control Eng 224(I2):139–152
51. Yu X, Yu H (2011) A novel low-altitude reconnaissance strategy for smart uavs: Active
perception and chaotic navigation. Trans Instit Meas Control 33(5):610–630
27
24. Kruse T, Pandey AK, Alami R et al (2013) Human-aware robot navigation: a survey. Robot
Autonomous Syst 61(12):1726–1743
25. Zhang Z, Yue S, Zhang G (2015) Fly visual system inspired artificial neural network for
collision detection. Neurocomputing 153:221–234
26. Song C, Xie S, Zhou Z et al (2015) Modeling of pneumatic artificial muscle using a hybrid
artificial neural network approach. Mechatronics 31:124–131
27. Mano M, Capi G, Tanaka N et al (2013) An artificial neural network based robot controller
that uses rat’s brain signals. Robotics 2(2):54–65
28. Nguyen HN, Zhou J, Kang HJ (2015) A calibration method for enhancing robot accuracy
through integration of an extended Kalman filter algorithm and an artificial neural network.
Neurocomputing 151:996–1005
29. Soltanpour MR, Khooban MH (2013) A particle swarm optimization approach for fuzzy sliding
mode control for tracking the robot manipulator. Nonlinear Dyn 74(1–2):467–478
30. Fateh MM, Azargoshasb S (2014) Discrete adaptive fuzzy control for asymptotic tracking of
robotic manipulators. Nonlinear Dyn 78(3):2195–2204
31. Zhou Q, Li H, Shi P (2015) Decentralized adaptive fuzzy tracking control for robot finger
dynamics. IEEE Trans Fuzzy Syst 23(3):501–510
32. Ferrauto T, Parisi D, Di Stefano G et al (2013) Different genetic algorithms and the evolution
of specialization: a study with groups of simulated neural robots. Artif Life 19(2):221–253
33. Arkin RC (1998) Behaviour Based Robotics. MIT Press, Cambridge, USA
34. Verschure P, Voegtlin T, Douglas RJ (2003) Environmentally mediated synergy between
perception and behaviour in mobile robots. Nature 425(6958):620–624
35. Verschure P, Althaus P (2003) A real-world rational agent: Unifying old and new AI. Cogn Sci
27(4):561–590
36. Fuster JM (2003) Cortex and Mind: Unifying Cognition. Oxford University Press, Oxford
37. Freeman WJ (1987) Simulation of chaotic EEG patterns with a dynamic model of the olfactory
system. Biol Cybern 56(2–3):139–150
38. Freeman WJ (1991) The physiology of perception. Sci Am 264(2):78–85
39. Freeman WJ (2003) A neurobiological theory of meaning in perception, Part I: Information and
meaning in nonconvergent and nonlocal brain dynamics. Int J Bifur Chaos 13(9):2493–2511
40. Freeman WJ (2004) How and why brains create meaning from sensory information. Int J Bifur
Chaos 14(2):515–530
41. Harter D, Kozma R (2005) Chaotic neurodynamics for autonomous agents. IEEE Trans Neural
Netw 16(3):565–579
42. Islam M, Murase K (2005) Chaotic dynamics of a behavior-based miniature mobile robot:
Effects of environment and control structure. Neural Netw 18(2):123–144
43. Arena P, De Fiore S, Fortuna L et al (2008) Perception-action map learning in controlled
multiscroll systems applied to robot navigation. Chaos, 18(4), No.043119
44. Kozma R, Freeman WJ (2009) The KIV model of intentional dynamics and decision making.
Neural Netw 22(3):277–285
45. Ohl FW, Scheich H, Freeman WJ (2001) Change in pattern of ongoing cortical activity with
auditory category learning. Nature 412(6848):733–736
46. Webb B (2002) Robots in invertebrate neuroscience. Nature 417(6886):259–363
47. Pennisi E (2007) Behavior - robot cockroach tests insect decision-making behavior. Science
318(5853):1055
48. Yu X, Sun Y, Liu J et al (2009) Autonomous navigation for unmanned aerial vehicles based on
chaotic bionics theory. J Bionic Eng 6(3):270–279
49. Yu X, Sun Y, Liu J et al (2009) Autonomous guidance for intelligent missile based on chaotic
perception-action dynamics. J Aerosp Eng 223(G7):853–862
50. Yu X, Sun Y, Liu J et al (2010) Autonomous spatial orientation of robots using chaotic cognition
and geometric cues. J Syst Control Eng 224(I2):139–152
51. Yu X, Yu H (2011) A novel low-altitude reconnaissance strategy for smart uavs: Active
perception and chaotic navigation. Trans Instit Meas Control 33(5):610–630