Task-agnostic self-modeling machines

A robot modeled itself without prior knowledge of physics or its shape and used the self-model to perform tasks and detect self-damage. A robot modeled itself without prior knowledge of physics or its shape and used the self-model to perform tasks and detect self-damage.

[1]  Sergey Ioffe,et al.  Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , 2015, ICML.

[2]  Geoffrey E. Hinton,et al.  ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.

[3]  Yoshua Bengio,et al.  Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling , 2014, ArXiv.

[4]  Hod Lipson,et al.  Resilient Machines Through Continuous Self-Modeling , 2006, Science.

[5]  Andrew Howard,et al.  Design and use paradigms for Gazebo, an open-source multi-robot simulator , 2004, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566).

[6]  Wolfram Burgard,et al.  A Probabilistic Framework for Learning Kinematic Models of Articulated Objects , 2011, J. Artif. Intell. Res..

[7]  José Santos-Victor,et al.  An online algorithm for simultaneously learning forward and inverse kinematics , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[8]  Jimmy Ba,et al.  Adam: A Method for Stochastic Optimization , 2014, ICLR.

[9]  Yuval Tassa,et al.  MuJoCo: A physics engine for model-based control , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[10]  Alec Radford,et al.  Proximal Policy Optimization Algorithms , 2017, ArXiv.

[11]  J. Schmahmann Disorders of the cerebellum: ataxia, dysmetria of thought, and the cerebellar cognitive affective syndrome. , 2004, The Journal of neuropsychiatry and clinical neurosciences.

[12]  P. Rochat Five levels of self-awareness as they unfold early in life , 2003, Consciousness and Cognition.