A System for Robotic Heart Surgery that Learns to Tie Knots Using Recurrent Neural Networks

@article{Mayer2006ASF,
  title={A System for Robotic Heart Surgery that Learns to Tie Knots Using Recurrent Neural Networks},
  author={H. Mayer and F. Gomez and Daan Wierstra and I. Nagy and A. Knoll and J. Schmidhuber},
  journal={2006 IEEE/RSJ International Conference on Intelligent Robots and Systems},
  year={2006},
  pages={543-548}
}
Tying suture knots is a time-consuming task performed frequently during minimally invasive surgery (MIS). Automating this task could greatly reduce total surgery time for patients. Current solutions to this problem replay manually programmed trajectories, but a more general and robust approach is to use supervised machine learning to smooth surgeon-given training trajectories and generalize from them. Since knottying generally requires a controller with internal memory to distinguish between… Expand
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References

SHOWING 1-10 OF 28 REFERENCES
The Endo[PA]R system for minimally invasive robotic surgery
  • 61
  • PDF
Robotic surgical instruments for dexterity enhancement in thoracoscopic coronary artery bypass graft.
  • 91
ROBOTIC ASSISTED SUTURING IN MINIMALLY INVASIVE SURGERY
  • 18
  • PDF
Manual vs robotically assisted laparoscopic surgery in the performance of basic manipulation and suturing tasks.
  • 109
  • Highly Influential
  • PDF
Evolino: Hybrid Neuroevolution/Optimal Linear Search for Sequence Learning
  • 69
  • PDF
Solving Non-Markovian Control Tasks with Neuro-Evolution
  • 275
  • PDF
Endo[PA]R: An Open Evaluation System for Minimally Invasive Robotic Surgery
  • 13
  • PDF
Efficient Reinforcement Learning through Symbiotic Evolution
  • 195
  • PDF
Active Guidance for a Finless Rocket Using Neuroevolution
  • 133
  • PDF
Learning to Forget: Continual Prediction with LSTM
  • 2,217
...
1
2
3
...