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1476 Part G Human-Centered and Life-Like Robotics 62.3 I.Segev,M.London:Dendritic Processing.In:The 62.18 B.Webb:Can robots make good models of bio- Handbook of Brain Theory and Neural Networks, logical behaviour?,Behav.Brain Sci.24,1033-1094 ed.by M.A.Arbib(Bradford Books/The MIT Press (2001) Cambridge 2003)pp.324-332,Second Edition 62.19 J.Y.Lettvin,H.Maturana,W.S.McCulloch, 62.4 Y.Fregnac:Hebbian synaptic plasticity.In:The W.H.Pitts:What the frog's eye tells the frog brain, Handbook of Brain Theory and Neural Networks, Proc.IRE,Vol.47(1959)Pp.1940-1951 ed.by M.A.Arbib (Bradford Books/The MIT Press, 62.20 D.Ingle:Visual releasers of prey catching behavion Cambridge 2003)pp.515-522,2nd Edition in frogs and toads,Brain Behav.Evol.1,500-518 62.5 R.D.Beer:Intelligence as Adaptive Behavior:An (1968) Experiment in Computational Neuroethology(Aca- 62.21 R.L.Didday:A model of visuomotor mechanisms demic,San Diego 1990) in the frog optic tectum,Math.Biosci.30,169-180 62.6 D.Cliff:Neuroethology,computational.In:The (1976) Handbook of Brain Theory and Neural Networks, 62.22 M.A.Arbib:Levels of modeling of visually guided ed.by M.A.Arbib (Bradford Books/The MIT Press behavior,Behav.Brain Sci.10,407-465 (1987) Cambridge 2002),2nd Edition 62.23 M.A.Arbib:Visuomotor coordination:neural 62.7 W.Reichardt:Autocorrelation,a principle for the models and perceptual robotics.In:Visuomotor evaluation of sensory information by the central Coordination:Amphibians,Comparisons,Models nervous system.In:Sensory Communication,ed. and Robots,ed.by J.P.Ewert,M.A.Arbib(Plenum, by W.A.Rosenblith(MIT Press and Wiley,New York, New York 1989)pp.121-171 London1961)pp.303-317 62.24 T.Collett:Do toads plan routes?A study of detour 62.8 A.Borst,M.Dickinson:Visual course control in flies. behavior of B.viridis,J.Compar.Physiol.146,261- In:The Handbook of Brain Theory and Neural Net- 271(1982) works,ed.by M.A.Arbib (Bradford Books/The MIT 62.25 M.A.Arbib,D.H.House:Depth and detours:An Press,Cambridge 2003)pp.1205-1210,2nd edn. essay on visually guided behavior.In:Vision,Brain 62.9 P.van der Smagt,F.Groen:Visual feedback in and Cooperative Computation ed.by M.A.Arbib, motion.In:Neural Systems for Robotics,ed.by A.R.Hanson (Bradford Books/The MIT Press,Cam- 0.Omidvar,P.van der Smagt (Morgan Kaufmann, bridge1987)pp.129-163 San Francisco 1997)pp.37-73 62.26 F.J.Corbacho,M.A.Arbib:Learning to detour, 62.10 P.van der Smagt:Teaching a robot to see Adapt.Behav.4,419-468(1995) how it moves.In:Neural Network Perspectives 62.27 A.Cobas,M.A.Arbib:Prey-catching and predator- on Cognition and Adaptive Robotics,ed.by avoidance in frog and toad:defining the schemas, A.Browne (Institute of Physics Publishing,Bristol J.Theor..Biol157,271-304(1992) 1997)pp.195-219 62.28 R.C.Arkin:Motor schema-based mobile robot nav- 62.11 S.C.Liu,A.Usseglio-Viretta:Fly-like visuomotor re- igation,Int.J.Robot.Res.8,92-112 (1989) sponses of a robot using aVLSI motion-sensitive 62.29 0.Khatib:Real-time obstacle avoidance for ma- chip5,Biol.Cybern.85(6),449-457(2001) nipulators and mobile robots,Int.J.Robot.Res.5, 62.12 F.Ruffier,S.Viollet,S.Amic,N.Franceschini:Bio- 90-98(1986) inspired optical flow circuits for the visual guidance 62.30 B.H.Krogh,C.E.Thorpe:Integrated path planning of micro air vehicles,Inter.Symp.Circuits Syst. and dynamic steering control for autonomous ve- I5CAS)2003,Vol.3(2003) hicles,Proc.IEEE Int.Conf.Robot.Autom.(San 62.13 M.B.Reiser,M.H.Dickinson:A test bed for insect- Francisco 1986)pp.1664-1669 inspired robotic control,Philos.Trans.Math.Phys. 62.31 R.A.Brooks,C.L.Breazeal,M.Marjanoviae,B.Scas- Eng.Sci.361181m),2267-2285(2003) sellati:The COG project:building a humanoid 62.14 M.V.Srinivasan,S.Zhang,J.S.Chahl:Landing robot.In:Computation for Metaphor,Analogy and Part strategies in honeybees,and possible applications Agents,Vol.1562,ed.by C.L.Nehaniv (Springer, 9 to autonomous airborne vehicles,Biol.Bull.200(2), New York 1999)pp.52-87 216-221(2001) 62.32 R.C.Arkin:Behavior-Based Robotics (MIT Press, 62.15A. Barron,M.V.Srinivasan:Visual regulation Cambridge 1998) of ground speed and headwind compensa- 62.33 R.C.Arkin,M.Fujita,T.Takagi,R.Hasegawa:An tion in freely flying honey bees.Apis mel- ethological and emotional basis for human-Rrbot lifera L,J.Exp.Biol.209(Pt 5),978-984 interaction,Robot.Auton.Syst.42(3-4),191-201 2006) (2003 62.16 T.Vladusich,J.M.Hemmi,M.V.Srinivasan,J.Zeil: 62.34 P.Dean,P.Redgrave,G.W.M.Westby:Event or Interactions of visual odometry and landmark emergency?Two response systems in the mam- guidance during food search in honeybees,J.Exp. malian superior colliculus,Trends Neurosci.12, Bio1.208,4123-4135(2005) 138-147(1989) 62.17 M.V.Srinivasan,S.W.Zhang:Visual control of hon- 62.35 B.E.Stein,M.A.Meredith:The Merging of the eybee flight,EXS 84,95-113(1997) Senses (MIT Press,Cambridge 1993)1476 Part G Human-Centered and Life-Like Robotics 62.3 I. Segev, M. London: Dendritic Processing. In: The Handbook of Brain Theory and Neural Networks, ed. by M.A. Arbib (Bradford Books/The MIT Press, Cambridge 2003) pp. 324–332, Second Edition 62.4 Y. Fregnac: Hebbian synaptic plasticity. In: The Handbook of Brain Theory and Neural Networks, ed. by M.A. Arbib (Bradford Books/The MIT Press, Cambridge 2003) pp. 515–522, 2nd Edition 62.5 R.D. Beer: Intelligence as Adaptive Behavior: An Experiment in Computational Neuroethology (Aca￾demic, San Diego 1990) 62.6 D. Cliff: Neuroethology, computational. In: The Handbook of Brain Theory and Neural Networks, ed. by M.A. Arbib (Bradford Books/The MIT Press, Cambridge 2002), 2nd Edition 62.7 W. Reichardt: Autocorrelation, a principle for the evaluation of sensory information by the central nervous system. In: Sensory Communication, ed. by W.A. Rosenblith (MIT Press and Wiley, New York, London 1961) pp. 303–317 62.8 A. Borst, M. Dickinson: Visual course control in flies. In: The Handbook of Brain Theory and Neural Net￾works, ed. by M.A. Arbib (Bradford Books/The MIT Press, Cambridge 2003) pp. 1205–1210, 2nd edn. 62.9 P. van der Smagt, F. Groen: Visual feedback in motion. In: Neural Systems for Robotics, ed. by O. Omidvar, P. van der Smagt (Morgan Kaufmann, San Francisco 1997) pp. 37–73 62.10 P. van der Smagt: Teaching a robot to see how it moves. In: Neural Network Perspectives on Cognition and Adaptive Robotics, ed. by A. Browne (Institute of Physics Publishing, Bristol 1997) pp. 195–219 62.11 S.C. Liu, A. Usseglio-Viretta: Fly-like visuomotor re￾sponses of a robot using aVLSI motion-sensitive chips, Biol. Cybern. 85(6), 449–457 (2001) 62.12 F. Ruffier, S. Viollet, S. Amic, N. Franceschini: Bio￾inspired optical flow circuits for the visual guidance of micro air vehicles, Inter. Symp. Circuits Syst. (ISCAS) 2003, Vol. 3 (2003) 62.13 M.B. Reiser, M.H. Dickinson: A test bed for insect￾inspired robotic control, Philos. Trans. Math. Phys. Eng. Sci. 361(1811), 2267–2285 (2003) 62.14 M.V. Srinivasan, S. Zhang, J.S. Chahl: Landing strategies in honeybees, and possible applications to autonomous airborne vehicles, Biol. Bull. 200(2), 216–221 (2001) 62.15 A. Barron, M.V. Srinivasan: Visual regulation of ground speed and headwind compensa￾tion in freely flying honey bees. Apis mel￾lifera L, J. Exp. Biol. 209(Pt 5), 978–984 (2006) 62.16 T. Vladusich, J.M. Hemmi, M.V. Srinivasan, J. Zeil: Interactions of visual odometry and landmark guidance during food search in honeybees, J. Exp. Biol. 208, 4123–4135 (2005) 62.17 M.V. Srinivasan, S.W. Zhang: Visual control of hon￾eybee flight, EXS 84, 95–113 (1997) 62.18 B. Webb: Can robots make good models of bio￾logical behaviour?, Behav. Brain Sci. 24, 1033–1094 (2001) 62.19 J.Y. Lettvin, H. Maturana, W.S. McCulloch, W.H. Pitts: What the frog’s eye tells the frog brain, Proc. IRE, Vol. 47 (1959) pp. 1940–1951 62.20 D. Ingle: Visual releasers of prey catching behavior in frogs and toads, Brain Behav. Evol. 1, 500–518 (1968) 62.21 R.L. Didday: A model of visuomotor mechanisms in the frog optic tectum, Math. Biosci. 30, 169–180 (1976) 62.22 M.A. Arbib: Levels of modeling of visually guided behavior, Behav. Brain Sci. 10, 407–465 (1987) 62.23 M.A. Arbib: Visuomotor coordination: neural models and perceptual robotics. In: Visuomotor Coordination: Amphibians, Comparisons, Models, and Robots, ed. by J.P. Ewert, M.A. Arbib (Plenum, New York 1989) pp. 121–171 62.24 T. Collett: Do toads plan routes? A study of detour behavior of B. viridis, J. Compar. Physiol. 146, 261– 271 (1982) 62.25 M.A. Arbib, D.H. House: Depth and detours: An essay on visually guided behavior. In: Vision, Brain and Cooperative Computation ed. by M.A. Arbib, A.R. Hanson (Bradford Books/The MIT Press, Cam￾bridge 1987) pp.129–163 62.26 F.J. Corbacho, M.A. Arbib: Learning to detour, Adapt. Behav. 4, 419–468 (1995) 62.27 A. Cobas, M.A. Arbib: Prey-catching and predator￾avoidance in frog and toad: defining the schemas, J. Theor. Biol 157, 271–304 (1992) 62.28 R.C. Arkin: Motor schema-based mobile robot nav￾igation, Int. J. Robot. Res. 8, 92–112 (1989) 62.29 O. Khatib: Real-time obstacle avoidance for ma￾nipulators and mobile robots, Int. J. Robot. Res. 5, 90–98 (1986) 62.30 B.H. Krogh, C.E. Thorpe: Integrated path planning and dynamic steering control for autonomous ve￾hicles, Proc. IEEE Int. Conf. Robot. Autom. (San Francisco 1986) pp. 1664–1669 62.31 R.A. Brooks, C.L. Breazeal, M. Marjanoviæ, B. Scas￾sellati: The COG project: building a humanoid robot. In: Computation for Metaphor, Analogy and Agents, Vol. 1562, ed. by C.L. Nehaniv (Springer, New York 1999) pp. 52–87 62.32 R.C. Arkin: Behavior-Based Robotics (MIT Press, Cambridge 1998) 62.33 R.C. Arkin, M. Fujita, T. Takagi, R. Hasegawa: An ethological and emotional basis for human-Rrbot interaction, Robot. Auton. Syst. 42(3-4), 191–201 (2003) 62.34 P. Dean, P. Redgrave, G.W.M. Westby: Event or emergency? Two response systems in the mam￾malian superior colliculus, Trends Neurosci. 12, 138–147 (1989) 62.35 B.E. Stein, M.A. Meredith: The Merging of the Senses (MIT Press, Cambridge 1993) Part G 62
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