Natural object manipulation using anthropomorphic robotic hand through deep reinforcement learning and deep grasping probability network

[1]  Kamal Al-Sabahi,et al.  A hierarchical self-attentive neural extractive summarizer via reinforcement learning (HSASRL) , 2020, Applied Intelligence.

[2]  Manuel G. Catalano,et al.  A Century of Robotic Hands , 2019, Annu. Rev. Control. Robotics Auton. Syst..

[3]  Charles C. Kemp,et al.  ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[4]  Alireza Nazemi,et al.  A new collaborate neuro-dynamic framework for solving convex second order cone programming problems with an application in multi-fingered robotic hands , 2019, Applied Intelligence.

[5]  Dieter Fox,et al.  ContactGrasp: Functional Multi-finger Grasp Synthesis from Contact , 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[6]  Fanny Ficuciello,et al.  Synergy-Based Control of Underactuated Anthropomorphic Hands , 2019, IEEE Transactions on Industrial Informatics.

[7]  F. Ficuciello,et al.  Vision-based grasp learning of an anthropomorphic hand-arm system in a synergy-based control framework , 2019, Science Robotics.

[8]  Houda Benbrahim,et al.  Deep Reinforcement Learning Overview of the state of the Art , 2018, J. Autom. Mob. Robotics Intell. Syst..

[9]  Shifei Ding,et al.  Applications of asynchronous deep reinforcement learning based on dynamic updating weights , 2018, Applied Intelligence.

[10]  Jakub W. Pachocki,et al.  Learning dexterous in-hand manipulation , 2018, Int. J. Robotics Res..

[11]  Sergey Levine,et al.  DeepMimic , 2018, ACM Trans. Graph..

[12]  Antonio Morales,et al.  Characterisation of Grasp Quality Metrics , 2018, J. Intell. Robotic Syst..

[13]  Martin A. Riedmiller,et al.  Learning by Playing - Solving Sparse Reward Tasks from Scratch , 2018, ICML.

[14]  Marc Peter Deisenroth,et al.  Deep Reinforcement Learning: A Brief Survey , 2017, IEEE Signal Processing Magazine.

[15]  Marcin Andrychowicz,et al.  Overcoming Exploration in Reinforcement Learning with Demonstrations , 2017, 2018 IEEE International Conference on Robotics and Automation (ICRA).

[16]  Sergey Levine,et al.  Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations , 2017, Robotics: Science and Systems.

[17]  Kenji Tahara,et al.  Grasp and dexterous manipulation of multi-fingered robotic hands: a review from a control view point , 2017, Adv. Robotics.

[18]  Xinyu Liu,et al.  Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics , 2017, Robotics: Science and Systems.

[19]  Sham M. Kakade,et al.  Towards Generalization and Simplicity in Continuous Control , 2017, NIPS.

[20]  Sergey Levine,et al.  Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates , 2016, 2017 IEEE International Conference on Robotics and Automation (ICRA).

[21]  Hong Liu,et al.  Robot grasp detection using multimodal deep convolutional neural networks , 2016 .

[22]  Manfred Lau,et al.  Tactile mesh saliency , 2016, ACM Trans. Graph..

[23]  Emanuel Todorov,et al.  Design of a highly biomimetic anthropomorphic robotic hand towards artificial limb regeneration , 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

[24]  Sergey Levine,et al.  Learning dexterous manipulation for a soft robotic hand from human demonstrations , 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[25]  Oliver Brock,et al.  A novel type of compliant and underactuated robotic hand for dexterous grasping , 2016, Int. J. Robotics Res..

[26]  Kostas J. Kyriakopoulos,et al.  Open-source, anthropomorphic, underactuated robot hands with a selectively lockable differential mechanism: Towards affordable prostheses , 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[27]  Gerwin Smit,et al.  The Lightweight Delft Cylinder Hand: First Multi-Articulating Hand That Meets the Basic User Requirements , 2015, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[28]  Ravi Balasubramanian,et al.  The Human Hand as an Inspiration for Robot Hand Development , 2014, Springer Tracts in Advanced Robotics.

[29]  Vikash Kumar,et al.  Fast, strong and compliant pneumatic actuation for dexterous tendon-driven hands , 2013, 2013 IEEE International Conference on Robotics and Automation.

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

[31]  Jan Rosell,et al.  Autonomous motion planning of a hand-arm robotic system based on captured human-like hand postures , 2011, Auton. Robots.

[32]  Ying Li,et al.  A shape matching algorithm for synthesizing humanlike enveloping grasps , 2005, 5th IEEE-RAS International Conference on Humanoid Robots, 2005..

[33]  Thomas G. Dietterich,et al.  Proceedings of the 14th International Conference on Neural Information Processing Systems: Natural and Synthetic , 2001 .

[34]  Sham M. Kakade,et al.  A Natural Policy Gradient , 2001, NIPS.

[35]  Yonghua Zhou,et al.  Parallel computing method of deep belief networks and its application to traffic flow prediction , 2019, Knowl. Based Syst..

[36]  José Manuel Iñesta Quereda,et al.  Planar Grasping Characterization Based on Curvature-Symmetry Fusion , 2004, Applied Intelligence.

[37]  Jan Peters Machine Learning for Motor Skills in Robotics , 2022 .