Manipulating Soft Tissues by Deep Reinforcement Learning for Autonomous Robotic Surgery
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Saeid Nahavandi | Asim Bhatti | Thanh Nguyen | Ngoc Duy Nguyen | Glenn Guest | S. Nahavandi | A. Bhatti | T. Nguyen | Glenn Guest
[1] Saeid Nahavandi,et al. Multi-Agent Deep Reinforcement Learning with Human Strategies , 2018, 2019 IEEE International Conference on Industrial Technology (ICIT).
[2] Saeid Nahavandi,et al. Deep Reinforcement Learning for Multiagent Systems: A Review of Challenges, Solutions, and Applications , 2018, IEEE Transactions on Cybernetics.
[3] Shane Legg,et al. Human-level control through deep reinforcement learning , 2015, Nature.
[4] Brijen Thananjeyan,et al. Multilateral surgical pattern cutting in 2D orthotropic gauze with deep reinforcement learning policies for tensioning , 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).
[5] Allison M. Okamura,et al. Methods to Segment Hard Inclusions in Soft Tissue During Autonomous Robotic Palpation , 2015, IEEE Transactions on Robotics.
[6] Nabeel A. Arain,et al. Developing a comprehensive, proficiency-based training program for robotic surgery. , 2012, Surgery.
[7] K. M. Deliparaschos,et al. Evolution of autonomous and semi‐autonomous robotic surgical systems: a review of the literature , 2011, The international journal of medical robotics + computer assisted surgery : MRCAS.
[8] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.
[9] Oliver Kroemer,et al. Learning to select and generalize striking movements in robot table tennis , 2012, AAAI Fall Symposium: Robots Learning Interactively from Human Teachers.
[10] Arianna Menciassi,et al. Design and development of a soft robotic gripper for manipulation in minimally invasive surgery: a proof of concept , 2015 .
[11] Stefan Schaal,et al. Robot Programming by Demonstration , 2009, Springer Handbook of Robotics.
[12] Pieter Abbeel,et al. Learning by observation for surgical subtasks: Multilateral cutting of 3D viscoelastic and 2D Orthotropic Tissue Phantoms , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).
[13] Martin A. Riedmiller,et al. Reinforcement learning for robot soccer , 2009, Auton. Robots.
[14] Thanh Thi Nguyen,et al. A Multi-Objective Deep Reinforcement Learning Framework , 2018, Eng. Appl. Artif. Intell..
[15] Saeid Nahavandi,et al. A New Tensioning Method using Deep Reinforcement Learning for Surgical Pattern Cutting , 2019, 2019 IEEE International Conference on Industrial Technology (ICIT).
[16] Henk Nijmeijer,et al. Robot Programming by Demonstration , 2010, SIMPAR.
[17] Srikanth V. Krishnamurthy,et al. IotSan: fortifying the safety of IoT systems , 2018, CoNEXT.
[18] Mamoru Mitsuishi,et al. Online Trajectory Planning and Force Control for Automation of Surgical Tasks , 2018, IEEE Transactions on Automation Science and Engineering.
[19] Kenneth Y. Goldberg,et al. Automating multi-throw multilateral surgical suturing with a mechanical needle guide and sequential convex optimization , 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).
[20] Stefan Schaal,et al. Learning from Demonstration , 1996, NIPS.
[21] Ben Tse,et al. Autonomous Inverted Helicopter Flight via Reinforcement Learning , 2004, ISER.
[22] Nazim Haouchine,et al. Impact of Soft Tissue Heterogeneity on Augmented Reality for Liver Surgery , 2015, IEEE Transactions on Visualization and Computer Graphics.
[23] Ryan S. Decker,et al. Supervised autonomous robotic soft tissue surgery , 2016, Science Translational Medicine.
[24] Saeid Nahavandi,et al. System Design Perspective for Human-Level Agents Using Deep Reinforcement Learning: A Survey , 2017, IEEE Access.
[25] Mohammad Biglarbegian,et al. State of the Art Robotic Grippers and Applications , 2016, Robotics.
[26] Wei Wang,et al. Variable Admittance Control Based on Fuzzy Reinforcement Learning for Minimally Invasive Surgery Manipulator , 2017, Sensors.
[27] Sergey Levine,et al. Trust Region Policy Optimization , 2015, ICML.
[28] Alois Knoll,et al. Automation of tissue piercing using circular needles and vision guidance for computer aided laparoscopic surgery , 2010, 2010 IEEE International Conference on Robotics and Automation.
[29] Wenjun Xu,et al. Towards transferring skills to flexible surgical robots with programming by demonstration and reinforcement learning , 2016, 2016 Eighth International Conference on Advanced Computational Intelligence (ICACI).
[30] Danail Stoyanov,et al. Surgical robotics beyond enhanced dexterity instrumentation: a survey of machine learning techniques and their role in intelligent and autonomous surgical actions , 2016, International Journal of Computer Assisted Radiology and Surgery.
[31] Saeid Nahavandi,et al. A Human Mixed Strategy Approach to Deep Reinforcement Learning , 2018, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC).
[32] Prokar Dasgupta,et al. An over-view of robot assisted surgery curricula and the status of their validation. , 2015, International journal of surgery.
[33] Ankush Gupta,et al. A case study of trajectory transfer through non-rigid registration for a simplified suturing scenario , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[34] Peter Kazanzides,et al. An open-source research kit for the da Vinci® Surgical System , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).
[35] Mark E Rentschler,et al. Towards autonomous motion control in minimally invasive robotic surgery , 2016, Expert review of medical devices.
[36] Han-Wen Nienhuys,et al. A Surgery Simulation Supporting Cuts and Finite Element Deformation , 2001, MICCAI.
[37] Pieter Abbeel,et al. Superhuman performance of surgical tasks by robots using iterative learning from human-guided demonstrations , 2010, 2010 IEEE International Conference on Robotics and Automation.
[38] Pieter Abbeel,et al. Benchmarking Deep Reinforcement Learning for Continuous Control , 2016, ICML.
[39] J. Kaouk,et al. Fundamental skills of robotic surgery: a multi-institutional randomized controlled trial for validation of a simulation-based curriculum. , 2013, Urology.