What Is Morphological Computation? On How the Body Contributes to Cognition and Control
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[1] Harald Haas,et al. Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communication , 2004, Science.
[2] Viktor Malyarchuk,et al. Digital cameras with designs inspired by the arthropod eye , 2013, Nature.
[3] Chrisantha Fernando,et al. Pattern Recognition in a Bucket , 2003, ECAL.
[4] Gentaro Taga,et al. A model of the neuro-musculo-skeletal system for human locomotion , 1995, Biological Cybernetics.
[5] A. Church. An Unsolvable Problem of Elementary Number Theory , 1936 .
[6] Gordana Dodig-Crnkovic,et al. Significance of Models of Computation, from Turing Model to Natural Computation , 2011, Minds and Machines.
[7] Ian D. Walker,et al. Soft robotics: Biological inspiration, state of the art, and future research , 2008 .
[8] Henry Markram,et al. Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations , 2002, Neural Computation.
[9] Andrew Philippides,et al. Active Shape Discrimination with Compliant Bodies as Reservoir Computers , 2016, Artificial Life.
[10] Michael Günther,et al. Intelligence by mechanics , 2007, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[11] Marina Basu. The Embodied Mind: Cognitive Science and Human Experience , 2004 .
[12] N. Franceschini,et al. From insect vision to robot vision , 1992 .
[13] Tao Li,et al. Information processing via physical soft body , 2015, Scientific Reports.
[14] Vincent C. Müller,et al. Symbol Grounding in Computational Systems: A Paradox of Intentions , 2009, Minds and Machines.
[15] Gualtiero Piccinini,et al. The Physical Church–Turing Thesis: Modest or Bold? , 2011, The British Journal for the Philosophy of Science.
[16] Benjamin Schrauwen,et al. Automated Design of Complex Dynamic Systems , 2014, PloS one.
[17] Herbert Jaeger,et al. Reservoir computing approaches to recurrent neural network training , 2009, Comput. Sci. Rev..
[18] J. Marsden,et al. Trajectory Design Combining Invariant Manifolds with Discrete Mechanics and Optimal Control , 2012 .
[19] Daniel E. Koditschek,et al. RHex: A Simple and Highly Mobile Hexapod Robot , 2001, Int. J. Robotics Res..
[20] L. Floridi. OPEN PROBLEMS IN THE PHILOSOPHY OF INFORMATION , 2004 .
[21] Oskar von Stryk,et al. A systematic approach to the design of embodiment with application to bio-inspired compliant legged robots , 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[22] Heinrich M. Jaeger,et al. Universal robotic gripper based on the jamming of granular material , 2010, Proceedings of the National Academy of Sciences.
[23] R. Full,et al. Mechanical aspects of legged locomotion control. , 2004, Arthropod structure & development.
[24] R. Full,et al. Evidence for van der Waals adhesion in gecko setae , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[25] Frédéric Boyer,et al. Exploration of Objects by an Underwater Robot with Electric Sense , 2012, Living Machines.
[26] Vivien A. Casagrande,et al. Biophysics of Computation: Information Processing in Single Neurons , 1999 .
[27] A. Wing,et al. Active touch sensing , 2011, Philosophical Transactions of the Royal Society B: Biological Sciences.
[28] T. Prescott,et al. Biomimetic vibrissal sensing for robots , 2011, Philosophical Transactions of the Royal Society B: Biological Sciences.
[29] Surya Girinatha Nurzaman,et al. SVAS3: Strain Vector Aided Sensorization of Soft Structures , 2014, Sensors.
[30] F. Mammano,et al. Biophysics of the cochlea: linear approximation. , 1993, The Journal of the Acoustical Society of America.
[31] Gentaro Taga,et al. A model of the neuro-musculo-skeletal system for human locomotion , 1995, Biological Cybernetics.
[32] Martijn Wisse,et al. A Three-Dimensional Passive-Dynamic Walking Robot with Two Legs and Knees , 2001, Int. J. Robotics Res..
[33] Benjamin Schrauwen,et al. Information Processing Capacity of Dynamical Systems , 2012, Scientific Reports.
[34] Hod Lipson,et al. Morphological communication: exploiting coupled dynamics in a complex mechanical structure to achieve locomotion , 2009, Journal of The Royal Society Interface.
[35] Susan Stepney,et al. When does a physical system compute? , 2013, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[36] Helmut Hauser,et al. The role of feedback in morphological computation with compliant bodies , 2012, Biological Cybernetics.
[37] Matthew Howard,et al. Internal impedance control helps information gain in embodied perception , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).
[38] Vincent C. Müller,et al. On the Possibilities of Hypercomputing Supertasks , 2011, Minds and Machines.
[39] Filip Ilievski,et al. Soft robotics for chemists. , 2011, Angewandte Chemie.
[40] Tad McGeer,et al. Passive Dynamic Walking , 1990, Int. J. Robotics Res..
[41] Surya Girinatha Nurzaman,et al. Guided Self-Organization in a Dynamic Embodied System Based on Attractor Selection Mechanism , 2014, Entropy.
[42] Gerhard Neumann,et al. Stochastic Optimal Control Methods for Investigating the Power of Morphological Computation , 2013, Artificial Life.
[43] Herbert Jaeger,et al. A tutorial on training recurrent neural networks , covering BPPT , RTRL , EKF and the " echo state network " approach - Semantic Scholar , 2005 .
[44] Sudeshna Sinha,et al. Introduction to focus issue: intrinsic and designed computation: information processing in dynamical systems--beyond the digital hegemony. , 2010, Chaos.
[45] Jonas Degrave,et al. Developing an embodied gait on a compliant quadrupedal robot , 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[46] Alin Albu-Schäffer,et al. Soft robotics , 2008, IEEE Robotics & Automation Magazine.
[47] Benjamin Schrauwen,et al. Optoelectronic Reservoir Computing , 2011, Scientific Reports.
[48] Rolf Pfeifer,et al. The implications of embodiment for behavior and cognition: animal and robotic case studies , 2012, ArXiv.
[49] Hector Zenil. A Behavioural Foundation for Natural Computing and a Programmability Test , 2013 .
[50] Russ Tedrake,et al. Efficient Bipedal Robots Based on Passive-Dynamic Walkers , 2005, Science.
[51] H. Lipson. Challenges and Opportunities for Design, Simulation, and Fabrication of Soft Robots , 2014 .
[52] L Pesquera,et al. Photonic information processing beyond Turing: an optoelectronic implementation of reservoir computing. , 2012, Optics express.
[53] Nikolaus Correll,et al. Materials that couple sensing, actuation, computation, and communication , 2015, Science.
[54] Gordana Dodig-Crnkovic,et al. A Dialogue Concerning Two World Systems: Info-Computational vs. Mechanistic , 2009, ArXiv.
[55] Dario Floreano,et al. Miniature curved artificial compound eyes , 2013, Proceedings of the National Academy of Sciences.
[56] P. Calvo,et al. Handbook of cognitive science : an embodied approach , 2008 .
[57] Benjamin Schrauwen,et al. Locomotion Without a Brain: Physical Reservoir Computing in Tensegrity Structures , 2013, Artificial Life.
[58] Chandana Paul,et al. The Tendon Network of the Fingers Performs Anatomical Computation at a Macroscopic Scale , 2007, IEEE Transactions on Biomedical Engineering.
[59] Anthony G. Pipe,et al. From Rat Vibrissae to Biomimetic Technology for Active Touch , 2009 .
[60] Douglas Lind,et al. An Introduction to Symbolic Dynamics and Coding , 1995 .
[61] Benjamin Schrauwen,et al. The body as a reservoir: locomotion and sensing with linear feedback , 2011 .
[62] E. Berger,et al. Effects of sensilla morphology on mechanosensory sensitivity in the crayfish , 2015, Bioinspiration & biomimetics.
[63] Randall D. Beer,et al. The Dynamics of Active Categorical Perception in an Evolved Model Agent , 2003, Adapt. Behav..
[64] Matej Hoffmann,et al. Simple or complex bodies? Trade-offs in exploiting body morphology for control , 2017 .
[65] A. Turing. On Computable Numbers, with an Application to the Entscheidungsproblem. , 1937 .
[66] Juan Pablo Carbajal,et al. Harnessing Nonlinearities: Behavior Generation from Natural Dynamics , 2012 .
[67] Anthony G. Pipe,et al. Whisking with robots , 2009, IEEE Robotics & Automation Magazine.
[68] Helmut Hauser,et al. Towards a theoretical foundation for morphological computation with compliant bodies , 2011, Biological Cybernetics.
[69] Olaf Sporns,et al. Mapping Information Flow in Sensorimotor Networks , 2006, PLoS Comput. Biol..
[70] R. Pfeifer,et al. Exploiting body dynamics for controlling a running quadruped robot , 2005, ICAR '05. Proceedings., 12th International Conference on Advanced Robotics, 2005..
[71] James P. Crutchfield,et al. Computation in Finitary Stochastic and Quantum Processes , 2006 .
[72] S. C. Kleene,et al. Introduction to Metamathematics , 1952 .
[73] R. Bajcsy. Active perception , 1988 .
[74] Helmut Hauser,et al. Morphological Computation and Morphological Control: Steps Toward a Formal Theory and Applications , 2013, Artificial Life.
[75] Vincent C. Müller. Pancomputationalism: Theory or Metaphor? , 2014 .
[76] Mark R. Cutkosky,et al. Whole body adhesion: hierarchical, directional and distributed control of adhesive forces for a climbing robot , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.
[77] Fumiya Iida,et al. Soft Robotics: The Next Generation of Intelligent Machines , 2013, IJCAI.
[78] Christine Chevallereau,et al. Underwater navigation based on passive electric sense: New perspectives for underwater docking , 2015, Int. J. Robotics Res..
[79] Fumiya Iida,et al. The challenges ahead for bio-inspired 'soft' robotics , 2012, CACM.
[80] Gualtiero Piccinini,et al. Computations and Computers in the Sciences of Mind and Brain , 2003 .
[81] Benjamin Schrauwen,et al. Analog readout for optical reservoir computers , 2012, NIPS.
[82] Helmut Hauser,et al. A soft body as a reservoir: case studies in a dynamic model of octopus-inspired soft robotic arm , 2013, Front. Comput. Neurosci..
[83] L. Munari. How the body shapes the way we think — a new view of intelligence , 2009 .
[84] Koh Hosoda,et al. Advantages of flexible musculoskeletal robot structure in sensory acquisition , 2012, Artificial Life and Robotics.
[85] TrimmerBarry. A Journal of Soft Robotics: Why Now? , 2014 .