These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
128 related articles for article (PubMed ID: 38816531)
21. An equilibrium optimizer slime mould algorithm for inverse kinematics of the 7-DOF robotic manipulator. Yin S; Luo Q; Zhou G; Zhou Y; Zhu B Sci Rep; 2022 Jun; 12(1):9421. PubMed ID: 35676308 [TBL] [Abstract][Full Text] [Related]
22. Robot grasping method optimization using improved deep deterministic policy gradient algorithm of deep reinforcement learning. Zhang H; Wang F; Wang J; Cui B Rev Sci Instrum; 2021 Feb; 92(2):025114. PubMed ID: 33648152 [TBL] [Abstract][Full Text] [Related]
23. Exploring a Novel Multiple-Query Resistive Grid-Based Planning Method Applied to High-DOF Robotic Manipulators. Huerta-Chua J; Diaz-Arango G; Vazquez-Leal H; Flores-Mendez J; Moreno-Moreno M; Ambrosio-Lazaro RC; Hernandez-Mejia C Sensors (Basel); 2021 May; 21(9):. PubMed ID: 34068486 [TBL] [Abstract][Full Text] [Related]
24. A Self-Collision Detection Algorithm of a Dual-Manipulator System Based on GJK and Deep Learning. Wu D; Yu Z; Adili A; Zhao F Sensors (Basel); 2023 Jan; 23(1):. PubMed ID: 36617121 [TBL] [Abstract][Full Text] [Related]
25. Deep Reinforcement Learning for Indoor Mobile Robot Path Planning. Gao J; Ye W; Guo J; Li Z Sensors (Basel); 2020 Sep; 20(19):. PubMed ID: 32992750 [TBL] [Abstract][Full Text] [Related]
26. Learning reaching strategies through reinforcement for a sensor-based manipulator. Martín P; Millán Jdel R Neural Netw; 1998 Mar; 11(2):359-76. PubMed ID: 12662844 [TBL] [Abstract][Full Text] [Related]
27. Data-driven methods towards learning the highly nonlinear inverse kinematics of tendon-driven surgical manipulators. Xu W; Chen J; Lau HYK; Ren H Int J Med Robot; 2017 Sep; 13(3):. PubMed ID: 27647806 [TBL] [Abstract][Full Text] [Related]
28. An LEO Constellation Early Warning System Decision-Making Method Based on Hierarchical Reinforcement Learning. Cheng Y; Wei C; Sun S; You B; Zhao Y Sensors (Basel); 2023 Feb; 23(4):. PubMed ID: 36850827 [TBL] [Abstract][Full Text] [Related]
29. Model predictive control for constrained robot manipulator visual servoing tuned by reinforcement learning. Li J; Peng X; Li B; Sreeram V; Wu J; Chen Z; Li M Math Biosci Eng; 2023 Apr; 20(6):10495-10513. PubMed ID: 37322945 [TBL] [Abstract][Full Text] [Related]
30. Improved Distorted Configuration Space Path Planning and its Application to Robot Manipulators. Xie Y; Zhou R; Yang Y Sensors (Basel); 2020 Oct; 20(21):. PubMed ID: 33114444 [TBL] [Abstract][Full Text] [Related]
31. Improved Robot Path Planning Method Based on Deep Reinforcement Learning. Han H; Wang J; Kuang L; Han X; Xue H Sensors (Basel); 2023 Jun; 23(12):. PubMed ID: 37420785 [TBL] [Abstract][Full Text] [Related]
32. An Experimental Safety Response Mechanism for an Autonomous Moving Robot in a Smart Manufacturing Environment Using Q-Learning Algorithm and Speech Recognition. Kiangala KS; Wang Z Sensors (Basel); 2022 Jan; 22(3):. PubMed ID: 35161688 [TBL] [Abstract][Full Text] [Related]
33. A reinforcement learning enhanced pseudo-inverse approach to self-collision avoidance of redundant robots. Hong T; Li W; Huang K Front Neurorobot; 2024; 18():1375309. PubMed ID: 38606052 [TBL] [Abstract][Full Text] [Related]
34. Dual-Arm Robot Trajectory Planning Based on Deep Reinforcement Learning under Complex Environment. Tang W; Cheng C; Ai H; Chen L Micromachines (Basel); 2022 Mar; 13(4):. PubMed ID: 35457870 [TBL] [Abstract][Full Text] [Related]
35. A Lagrangian network for kinematic control of redundant robot manipulators. Wang J; Hu Q; Jiang D IEEE Trans Neural Netw; 1999; 10(5):1123-32. PubMed ID: 18252613 [TBL] [Abstract][Full Text] [Related]
38. Development of a new 3-DOF parallel manipulator for minimally invasive surgery. Khalifa A; Fanni M; Mohamed AM; Miyashita T Int J Med Robot; 2018 Jun; 14(3):e1901. PubMed ID: 29577580 [TBL] [Abstract][Full Text] [Related]
39. Accelerating reinforcement learning with case-based model-assisted experience augmentation for process control. Lin R; Chen J; Xie L; Su H Neural Netw; 2023 Jan; 158():197-215. PubMed ID: 36462366 [TBL] [Abstract][Full Text] [Related]
40. A deep reinforcement learning algorithm for the rectangular strip packing problem. Fang J; Rao Y; Shi M PLoS One; 2023; 18(3):e0282598. PubMed ID: 36928505 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]