Success/Failure Identification of Skill Movement by Neural Network Using Force Information
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[1] Huosheng Hu,et al. Robot Learning from Demonstration in Robotic Assembly: A Survey , 2018, Robotics.
[2] Kensuke Harada,et al. Cantilever snap assemblies failure detection using SVMs and the RCBHT , 2014, 2014 IEEE International Conference on Mechatronics and Automation.
[3] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[4] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[5] Marc'Aurelio Ranzato,et al. Building high-level features using large scale unsupervised learning , 2011, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[6] Wyatt S. Newman,et al. Interpretation of force and moment signals for compliant peg-in-hole assembly , 2001, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164).