A System for Robotic Heart Surgery that Learns to Tie Knots Using Recurrent Neural Networks
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Jürgen Schmidhuber | Alois Knoll | Faustino J. Gomez | Daan Wierstra | Istvan Nagy | Hermann Georg Mayer | J. Schmidhuber | Daan Wierstra | F. Gomez | H. Mayer | I. Nagy | A. Knoll
[1] Ronald J. Williams,et al. A Learning Algorithm for Continually Running Fully Recurrent Neural Networks , 1989, Neural Computation.
[2] Paul J. Werbos,et al. Backpropagation Through Time: What It Does and How to Do It , 1990, Proc. IEEE.
[3] Eduardo Sontag,et al. Turing computability with neural nets , 1991 .
[4] Vladimir Vapnik,et al. The Nature of Statistical Learning , 1995 .
[5] A. García-Ruiz,et al. Robotic surgical instruments for dexterity enhancement in thoracoscopic coronary artery bypass graft. , 1997, Journal of laparoendoscopic & advanced surgical techniques. Part A.
[6] Didier Guériot,et al. RBF neural network, basis functions and genetic algorithm , 1997, Proceedings of International Conference on Neural Networks (ICNN'97).
[7] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[8] A. García-Ruiz,et al. Manual vs robotically assisted laparoscopic surgery in the performance of basic manipulation and suturing tasks. , 1998, Archives of surgery.
[9] Xin Yao,et al. Evolving artificial neural networks , 1999, Proc. IEEE.
[10] Risto Miikkulainen,et al. Solving Non-Markovian Control Tasks with Neuro-Evolution , 1999, IJCAI.
[11] Jürgen Schmidhuber,et al. Learning to Forget: Continual Prediction with LSTM , 2000, Neural Computation.
[12] Vladimir N. Vapnik,et al. The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.
[13] John Kenneth Salisbury,et al. The Intuitive/sup TM/ telesurgery system: overview and application , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).
[14] Yoshua Bengio,et al. Gradient Flow in Recurrent Nets: the Difficulty of Learning Long-Term Dependencies , 2001 .
[15] Jürgen Schmidhuber,et al. LSTM recurrent networks learn simple context-free and context-sensitive languages , 2001, IEEE Trans. Neural Networks.
[16] Hyosig Kang,et al. ROBOTIC ASSISTED SUTURING IN MINIMALLY INVASIVE SURGERY , 2002 .
[17] Risto Miikkulainen,et al. Active Guidance for a Finless Rocket Using Neuroevolution , 2003, GECCO.
[18] Risto Miikkulainen,et al. Robust non-linear control through neuroevolution , 2003 .
[19] Alois Knoll,et al. Endo[PA]R: An Open Evaluation System for Minimally Invasive Robotic Surgery , 2004 .
[20] Risto Miikkulainen,et al. Efficient Reinforcement Learning through Symbiotic Evolution , 2004 .
[21] Jürgen Schmidhuber,et al. Evolino: Hybrid Neuroevolution/Optimal Linear Search for Sequence Learning , 2005, IJCAI.
[22] Jürgen Schmidhuber,et al. Modeling systems with internal state using evolino , 2005, GECCO '05.
[23] Jürgen Schmidhuber,et al. A System for Robotic Heart Surgery that Learns to Tie Knots Using Recurrent Neural Networks , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[24] Alois Knoll,et al. Adaptive Control for Human-Robot Skilltransfer: Trajectory Planning Based on Fluid Dynamics , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.
[25] Jürgen Schmidhuber,et al. Training Recurrent Networks by Evolino , 2007, Neural Computation.