Morphological Computation Increases From Lower- to Higher-Level of Biological Motor Control Hierarchy
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Keyan Zahedi | Syn Schmitt | Daniel F. B. Haeufle | Katrin Stollenmaier | Isabelle Heinrich | D. Haeufle | K. Zahedi | S. Schmitt | Katrin Stollenmaier | Isabelle Heinrich
[1] S G Nurzaman,et al. Goal-directed multimodal locomotion through coupling between mechanical and attractor selection dynamics. , 2015, Bioinspiration & biomimetics.
[2] A. V. van Soest,et al. Equilibrium point control cannot be refuted by experimental reconstruction of equilibrium point trajectories. , 2007, Journal of neurophysiology.
[3] Harry Dankowicz,et al. A rigorous dynamical-systems-based analysis of the self-stabilizing influence of muscles. , 2009, Journal of biomechanical engineering.
[4] Jill S Higginson,et al. Stabilisation of walking by intrinsic muscle properties revealed in a three-dimensional muscle-driven simulation , 2013, Computer methods in biomechanics and biomedical engineering.
[5] Paolo Dario,et al. A bioinspired autonomous swimming robot as a tool for studying goal-directed locomotion , 2013, Biological Cybernetics.
[6] Syn Schmitt,et al. Muscles Reduce Neuronal Information Load: Quantification of Control Effort in Biological vs. Robotic Pointing and Walking , 2020, Frontiers in Robotics and AI.
[7] G. E. Loeb,et al. A hierarchical foundation for models of sensorimotor control , 1999, Experimental Brain Research.
[8] Andreas Schulz,et al. A Human-Like Robot Hand and Arm with Fluidic Muscles: Biologically Inspired Construction and Functionality , 2003, Embodied Artificial Intelligence.
[9] Karl-Theodor Kalveram,et al. Energy management that generates terrain following versus apex-preserving hopping in man and machine , 2012, Biological Cybernetics.
[10] Dinant A. Kistemaker,et al. A model of open-loop control of equilibrium position and stiffness of the human elbow joint , 2007, Biological Cybernetics.
[11] Michael Günther,et al. Electro-mechanical delay in Hill-type muscle models , 2012 .
[12] Auke Jan Ijspeert,et al. Towards dynamic trot gait locomotion: Design, control, and experiments with Cheetah-cub, a compliant quadruped robot , 2013, Int. J. Robotics Res..
[13] M Günther,et al. Tailoring anatomical muscle paths: a sheath-like solution for muscle routing in musculoskeletal computer models. , 2019, Mathematical biosciences.
[14] Marc Toussaint,et al. Learning to Control Redundant Musculoskeletal Systems with Neural Networks and SQP: Exploiting Muscle Properties , 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).
[15] Keyan Zahedi,et al. Evaluating Morphological Computation in Muscle and DC-Motor Driven Models of Hopping Movements , 2016, Front. Robot. AI.
[16] Allison M Okamura,et al. Predicting and correcting ataxia using a model of cerebellar function. , 2014, Brain : a journal of neurology.
[17] A. Seyfarth,et al. The role of intrinsic muscle properties for stable hopping—stability is achieved by the force–velocity relation , 2010, Bioinspiration & biomimetics.
[18] Syn Schmitt,et al. Comparative Sensitivity Analysis of Muscle Activation Dynamics , 2015, Comput. Math. Methods Medicine.
[19] Syn Schmitt,et al. Optimality Principles in Human Point-to-Manifold Reaching Accounting for Muscle Dynamics , 2020, Frontiers in Computational Neuroscience.
[20] Maarten F Bobbert,et al. Is equilibrium point control feasible for fast goal-directed single-joint movements? , 2006, Journal of neurophysiology.
[21] Chandana Paul,et al. Morphological computation: A basis for the analysis of morphology and control requirements , 2006, Robotics Auton. Syst..
[22] Stefan Schaal,et al. Interaction of rhythmic and discrete pattern generators in single-joint movements , 2000 .
[23] Cecilia Laschi,et al. Soft robotics: a bioinspired evolution in robotics. , 2013, Trends in biotechnology.
[24] R. Blickhan,et al. Stabilizing function of skeletal muscles: an analytical investigation. , 1999, Journal of theoretical biology.
[25] Florentin Wörgötter,et al. Correction: Adaptive, Fast Walking in a Biped Robot under Neuronal Control and Learning , 2007, PLoS Comput. Biol..
[26] Michael Günther,et al. The dynamics of the skeletal muscle: A systems biophysics perspective on muscle modeling with the focus on Hill‐type muscle models , 2019, GAMM-Mitteilungen.
[27] Fumiya Iida,et al. Toward a human-like biped robot with compliant legs , 2009, Robotics Auton. Syst..
[28] Oliver Röhrle,et al. Modeling the Chemoelectromechanical Behavior of Skeletal Muscle Using the Parallel Open-Source Software Library OpenCMISS , 2013, Comput. Math. Methods Medicine.
[29] James C. Houk,et al. Neural Control of Muscle Length and Tension , 2011 .
[30] Hiroyuki Kambara,et al. A computational model for optimal muscle activity considering muscle viscoelasticity in wrist movements. , 2013, Journal of neurophysiology.
[31] Winfried Ilg,et al. Predicting Perturbed Human Arm Movements in a Neuro-Musculoskeletal Model to Investigate the Muscular Force Response , 2020, Frontiers in Bioengineering and Biotechnology.
[32] Fumiya Iida,et al. Morphological Computation: Connecting Body, Brain, and Environment (特集:ロボティクスと神経科学) , 2005 .
[33] Keyan Ghazi-Zahedi,et al. Morphological Intelligence: Measuring the Body’s Contribution to Intelligence , 2019 .
[34] Blake Hannaford,et al. Artificial Muscles : Actuators for Biorobotic Systems , 1999 .
[35] D. Rus,et al. Design, fabrication and control of soft robots , 2015, Nature.
[36] Amir Karniel,et al. Open questions in computational motor control. , 2011, Journal of integrative neuroscience.
[37] Oliver Rettig,et al. A new kinematic model of the upper extremity based on functional joint parameter determination for shoulder and elbow. , 2009, Gait & posture.
[38] P. Holmes,et al. Reflexes and preflexes: on the role of sensory feedback on rhythmic patterns in insect locomotion , 2010, Biological Cybernetics.
[39] Mindy F Levin,et al. The equilibrium-point hypothesis--past, present and future. , 2009, Advances in experimental medicine and biology.
[40] Katrin Stollenmaier,et al. Simulating the response of a neuro-musculoskeletal model to assistive forces: implications for the design of wearables compensating for motor control deficits , 2020, 2020 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob).
[41] Maarten F Bobbert,et al. Robust passive dynamics of the musculoskeletal system compensate for unexpected surface changes during human hopping. , 2009, Journal of applied physiology.
[42] S Schmitt,et al. Hill-type muscle model with serial damping and eccentric force-velocity relation. , 2014, Journal of biomechanics.
[43] Keyan Zahedi,et al. Quantifying Morphological Computation , 2013, Entropy.
[44] N. Hogan. Adaptive control of mechanical impedance by coactivation of antagonist muscles , 1984 .
[45] Alexandra S. Voloshina,et al. The role of intrinsic muscle mechanics in the neuromuscular control of stable running in the guinea fowl , 2009, The Journal of physiology.
[46] Oliver Brock,et al. A novel type of compliant and underactuated robotic hand for dexterous grasping , 2016, Int. J. Robotics Res..
[47] Fumiya Iida,et al. "Cheap" Rapid Locomotion of a Quadruped Robot: Self-Stabilization of Bounding Gait , 2004 .
[48] Stephen A. Morin,et al. Soft Robotics: Review of Fluid‐Driven Intrinsically Soft Devices; Manufacturing, Sensing, Control, and Applications in Human‐Robot Interaction , 2017 .
[49] Hod Lipson,et al. Morphological communication: exploiting coupled dynamics in a complex mechanical structure to achieve locomotion , 2009, Journal of The Royal Society Interface.
[50] Jeroen B. J. Smeets,et al. Conclusions on motor control depend on the type of model used to represent the periphery , 2012, Biological Cybernetics.
[51] Bernhard Schölkopf,et al. Learning to Play Table Tennis From Scratch using Muscular Robots , 2020, ArXiv.
[52] D. Sternad,et al. Interactions between rhythmic and discrete components in a bimanual task. , 2003, Motor control.
[53] Yasuo Kuniyoshi,et al. Biomechanical Approach to Open-Loop Bipedal Running with a Musculoskeletal Athlete Robot , 2012, Adv. Robotics.
[54] Michael Günther,et al. Intelligence by mechanics , 2007, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[55] Alexander Spröwitz,et al. ATRIAS: Design and validation of a tether-free 3D-capable spring-mass bipedal robot , 2016, Int. J. Robotics Res..
[56] Heather L. More,et al. Scaling of sensorimotor control in terrestrial mammals , 2009, Proceedings of the Royal Society B: Biological Sciences.
[57] Keyan Zahedi,et al. Evaluating Morphological Computation in Muscle and DC-motor Driven Models of Human Hopping , 2015, ArXiv.
[58] H. Hatze,et al. A myocybernetic control model of skeletal muscle , 1977, Biological Cybernetics.
[59] Felix Ruppert,et al. Series Elastic Behavior of Biarticular Muscle-Tendon Structure in a Robotic Leg , 2019, Front. Neurorobot..
[60] Filip Ilievski,et al. Multigait soft robot , 2011, Proceedings of the National Academy of Sciences.
[61] Oliver Röhrle,et al. Predicting electromyographic signals under realistic conditions using a multiscale chemo–electro–mechanical finite element model , 2015, Interface Focus.
[62] D. F. B. Haeufle,et al. The influence of biophysical muscle properties on simulating fast human arm movements , 2017, Computer methods in biomechanics and biomedical engineering.
[63] A. Seyfarth,et al. Integration of intrinsic muscle properties, feed-forward and feedback signals for generating and stabilizing hopping , 2012, Journal of The Royal Society Interface.
[64] R. Siegwart,et al. Efficient and Versatile Locomotion With Highly Compliant Legs , 2013, IEEE/ASME Transactions on Mechatronics.
[65] Florentin Wörgötter,et al. Adaptive, Fast Walking in a Biped Robot under Neuronal Control and Learning , 2007, PLoS Comput. Biol..
[66] Syn Schmitt,et al. Bioinspired pneumatic muscle spring units mimicking the human motion apparatus: benefits for passive motion range and joint stiffness variation in antagonistic setups , 2018, 2018 25th International Conference on Mechatronics and Machine Vision in Practice (M2VIP).
[67] Maarten F. Bobbert,et al. The contribution of muscle properties in the control of explosive movements , 1993, Biological Cybernetics.
[68] A. J. van den Bogert,et al. Intrinsic muscle properties facilitate locomotor control - a computer simulation study. , 1998, Motor control.