How Cognitive Models of Human Body Experience Might Push Robotics
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Betty J. Mohler | Jan Peters | Philipp Beckerle | Tim Schürmann | Jan Peters | B. Mohler | P. Beckerle | Tim Schürmann
[1] R. Weale. Vision. A Computational Investigation Into the Human Representation and Processing of Visual Information. David Marr , 1983 .
[2] Jonathan D. Cohen,et al. Rubber hands ‘feel’ touch that eyes see , 1998, Nature.
[3] Mitsuo Kawato,et al. MOSAIC Model for Sensorimotor Learning and Control , 2001, Neural Computation.
[4] Miomir Vukobratović,et al. Intelligent Control of Robotic Systems , 2003 .
[5] Giulio Sandini,et al. Developmental robotics: a survey , 2003, Connect. Sci..
[6] Nicholas P. Holmes,et al. The body schema and multisensory representation(s) of peripersonal space , 2004, Cognitive Processing.
[7] Alexandre Pouget,et al. Bayesian multisensory integration and cross-modal spatial links , 2004, Journal of Physiology-Paris.
[8] Konrad Paul Kording,et al. Bayesian integration in sensorimotor learning , 2004, Nature.
[9] Konrad Paul Kording,et al. Review TRENDS in Cognitive Sciences Vol.10 No.7 July 2006 Special Issue: Probabilistic models of cognition Bayesian decision theory in sensorimotor control , 2022 .
[10] Konrad Paul Kording,et al. Causal Inference in Multisensory Perception , 2007, PloS one.
[11] J. Tenenbaum,et al. Intuitive theories as grammars for causal inference , 2007 .
[12] M. Bassolino,et al. Extended Multisensory Space in Blind Cane Users , 2007, Psychological science.
[13] Ron Sun,et al. The Cambridge Handbook of Computational Psychology , 2008 .
[14] James L. McClelland,et al. Connectionist models of cognition. , 2008 .
[15] Á. Mayer,et al. Body schema and body awareness of amputees , 2008, Prosthetics and orthotics international.
[16] J. Bradshaw,et al. Mechanisms underlying embodiment, disembodiment and loss of embodiment , 2008, Neuroscience & Biobehavioral Reviews.
[17] Marjolein P. M. Kammers,et al. What is embodiment? A psychometric approach , 2008, Cognition.
[18] T. Shultz,et al. The Cambridge Handbook of Computational Psychology: Computational Models of Developmental Psychology , 2008 .
[19] H. Ehrsson,et al. Upper limb amputees can be induced to experience a rubber hand as their own , 2008, Brain : a journal of neurology.
[20] Stefan Ulbrich,et al. Rapid learning of humanoid body schemas with Kinematic Bézier Maps , 2009, 2009 9th IEEE-RAS International Conference on Humanoid Robots.
[21] Active body schema learning , 2009 .
[22] Masaki Ogino,et al. Cognitive Developmental Robotics: A Survey , 2009, IEEE Transactions on Autonomous Mental Development.
[23] Wolfram Burgard,et al. Body schema learning for robotic manipulators from visual self-perception , 2009, Journal of Physiology - Paris.
[24] Angelo Cangelosi,et al. Epigenetic Robotics Architecture (ERA) , 2010, IEEE Transactions on Autonomous Mental Development.
[25] Giulio Sandini,et al. The iCub humanoid robot: An open-systems platform for research in cognitive development , 2010, Neural Networks.
[26] Alejandro Hernández Arieta,et al. Body Schema in Robotics: A Review , 2010, IEEE Transactions on Autonomous Mental Development.
[27] Oliver Alan Kannape,et al. The limits of agency in walking humans , 2010, Neuropsychologia.
[28] Max Berniker,et al. Bayesian approaches to sensory integration for motor control. , 2011, Wiley interdisciplinary reviews. Cognitive science.
[29] Gergő Orbán,et al. Representations of uncertainty in sensorimotor control , 2011, Current Opinion in Neurobiology.
[30] Jan Peters,et al. Model learning for robot control: a survey , 2011, Cognitive Processing.
[31] David W. Franklin,et al. Computational Mechanisms of Sensorimotor Control , 2011, Neuron.
[32] Giulio Sandini,et al. Force Control and Reaching Movements on the iCub Humanoid Robot , 2011, ISRR.
[33] Adam N. Sanborn,et al. Bridging Levels of Analysis for Probabilistic Models of Cognition , 2012 .
[34] Thomas R. Shultz,et al. Computational Models in Developmental Psychology , 2013 .
[35] A. Clark. Whatever next? Predictive brains, situated agents, and the future of cognitive science. , 2013, The Behavioral and brain sciences.
[36] M. Reiner,et al. Perspectives and possible applications of the rubber hand and virtual hand illusion in non-invasive rehabilitation: Technological improvements and their consequences , 2014, Neuroscience & Biobehavioral Reviews.
[37] Albert Jin Chung,et al. Perception of Body Ownership Is Driven by Bayesian Sensory Inference , 2015, PloS one.
[38] Lorenzo Rosasco,et al. Teaching iCub to recognize objects using deep Convolutional Neural Networks , 2015, MLIS@ICML.
[39] Alessandro Roncone,et al. Learning peripersonal space representation through artificial skin for avoidance and reaching with whole body surface , 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[40] Ed Vul,et al. Choosing fast and slow: explaining differences between hedonic and utilitarian choices , 2015, CogSci.
[41] Junpei Zhong,et al. Artificial Neural Models for Feedback Pathways for Sensorimotor Integration , 2015 .
[42] Alessandro Roncone,et al. Peripersonal Space and Margin of Safety around the Body: Learning Visuo-Tactile Associations in a Humanoid Robot with Artificial Skin , 2016, PloS one.
[43] M. Molinari,et al. The embodiment of assistive devices-from wheelchair to exoskeleton. , 2016, Physics of life reviews.
[44] Bruno Lara,et al. Body Representations for Robot Ego-Noise Modelling and Prediction. Towards the Development of a Sense of Agency in Artificial Agents , 2016, ALIFE.
[45] Bruno Lara,et al. Exploration Behaviors, Body Representations, and Simulation Processes for the Development of Cognition in Artificial Agents , 2016, Front. Robot. AI.
[46] Matteo Bianchi,et al. A Human–Robot Interaction Perspective on Assistive and Rehabilitation Robotics , 2017, Front. Neurorobot..
[47] Gordon Cheng,et al. Yielding Self-Perception in Robots Through Sensorimotor Contingencies , 2017, IEEE Transactions on Cognitive and Developmental Systems.
[48] Giorgio Metta,et al. Robotic Homunculus: Learning of Artificial Skin Representation in a Humanoid Robot Motivated by Primary Somatosensory Cortex , 2018, IEEE Transactions on Cognitive and Developmental Systems.
[49] Stefan Wermter,et al. On the Robustness of Speech Emotion Recognition for Human-Robot Interaction with Deep Neural Networks , 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[50] Justine C. Cléry,et al. Frontier of Self and Impact Prediction , 2018, Front. Psychol..
[51] Gordon Cheng,et al. Adaptive Robot Body Learning and Estimation Through Predictive Coding , 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[52] J. O'Regan,et al. Which limb is it? Responses to vibrotactile stimulation in early infancy , 2017, The British journal of developmental psychology.
[53] Claudio Castellini,et al. Robotic interfaces for cognitive psychology and embodiment research: A research roadmap. , 2018, Wiley interdisciplinary reviews. Cognitive science.