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Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 89 matches

• 2024
• 
  Zhongbo Sun, Yanpeng Zhou, Shijun Tang, Jun Luo, Bo Zhao:
  Noise suppression zeroing neural network for online solving the time-varying inverse kinematics problem of four-wheel mobile manipulators with external disturbances. Artif. Intell. Rev. 57(8): 211 (2024)
• 
  Naseeb Singh, Virendra Kumar Tewari, Prabir Kumar Biswas, Laxmi Kant Dhruw, Rakesh Ranjan, Abhishek Ranjan:
  Optimizing cotton-picking robotic manipulator and inverse kinematics modeling using evolutionary algorithm-assisted artificial neural network. J. Field Robotics 41(7): 2322-2342 (2024)
• 
  Jiaxi Jiang, Paul Streli, Xuejing Luo, Christoph Gebhardt, Christian Holz:
  MANIKIN: Biomechanically Accurate Neural Inverse Kinematics for Human Motion Estimation. ECCV (2) 2024: 128-146
• 
  Qiankai Cao, Juin Chuen Oh, Jie Gu:
  A Mixed-signal 3D Footstep Planning SoC for Motion Control of Humanoid Robots with Embedded Zero-Moment-Point based Gait Scheduler and Neural Inverse Kinematics. VLSI Technology and Circuits 2024: 1-2
• 2023
• 
  Daniel Cagigas-Muñiz:
  Artificial Neural Networks for inverse kinematics problem in articulated robots. Eng. Appl. Artif. Intell. 126(Part D): 107175 (2023)
• 
  Muhammad Esmat, Mohammed Abdel-Nasser, Abdul-Wahid A. Saif:
  Solving Inverse Kinematics for 3R Manipulator Using Artificial Neural Networks. SSD 2023: 116-120
• 
  Qadri Hamarsheh, Mohammed Baniyounis, Rolf Biesenbach, Mohammed Jernaz:
  An Artificial Neural Network Approach in Solving Inverse Kinematics of a 6 DOF KUKA Industrial Robot. SSD 2023: 157-163
• 
  Jiefeng Li, Siyuan Bian, Qi Liu, Jiasheng Tang, Fan Wang, Cewu Lu:
  NIKI: Neural Inverse Kinematics with Invertible Neural Networks for 3D Human Pose and Shape Estimation. CVPR 2023: 12933-12942
• 
  Benedict Stephan, Ilja Dontsov, Steffen Müller, Horst-Michael Gross:
  On Learning of Inverse Kinematics for Highly Redundant Robots with Neural Networks. ICAR 2023: 402-408
• 
  Arif Nugroho, Eko Mulyanto Yuniarno, Mauridhi Hery Purnomo:
  ARKOMA: The Dataset to Build Neural Networks-Based Inverse Kinematics for NAO Robot Arms. IEEE DataPort, 2023 
• 
  Jiefeng Li, Siyuan Bian, Chao Xu, Zhicun Chen, Lixin Yang, Cewu Lu:
  HybrIK-X: Hybrid Analytical-Neural Inverse Kinematics for Whole-body Mesh Recovery. CoRR abs/2304.05690 (2023)
• 
  Jiefeng Li, Siyuan Bian, Qi Liu, Jiasheng Tang, Fan Wang, Cewu Lu:
  NIKI: Neural Inverse Kinematics with Invertible Neural Networks for 3D Human Pose and Shape Estimation. CoRR abs/2305.08590 (2023)
• 2022
• 
  Huichen Ma, Junjie Zhou, Jian Zhang, Lingyu Zhang:
  Research on the Inverse Kinematics Prediction of a Soft Biomimetic Actuator via BP Neural Network. IEEE Access 10: 78691-78701 (2022)
• 
  Alex Volinski, Yuval Zaidel, Albert Shalumov, Travis DeWolf, Lazar Supic, Elishai Ezra Tsur:
  Data-driven artificial and spiking neural networks for inverse kinematics in neurorobotics. Patterns 3(1): 100391 (2022)
• 
  Jiaoyang Lu, Ting Zou, Xianta Jiang:
  A Neural Network Based Approach to Inverse Kinematics Problem for General Six-Axis Robots. Sensors 22(22): 8909 (2022)
• 
  Raphael Bensadoun, Shir Gur, Nitsan Blau, Tom Shenkar, Lior Wolf:
  Neural Inverse Kinematics. CoRR abs/2205.10837 (2022)
• 
  Suhan Park, Mathew Schwartz, Jaeheung Park:
  NODE IK: Solving Inverse Kinematics with Neural Ordinary Differential Equations for Path Planning. CoRR abs/2209.00498 (2022)
• 2021
• 
  Ruixuan Liu, Changliu Liu:
  Human Motion Prediction Using Adaptable Recurrent Neural Networks and Inverse Kinematics. IEEE Control. Syst. Lett. 5(5): 1651-1656 (2021)
• 
  Ruixuan Liu, Changliu Liu:
  Human Motion Prediction Using Adaptable Recurrent Neural Networks and Inverse Kinematics. ACC 2021: 3725-3730
• 
  Jiefeng Li, Chao Xu, Zhicun Chen, Siyuan Bian, Lixin Yang, Cewu Lu:
  HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimation. CVPR 2021: 3383-3393
• 
  Chi Zhang, Jianqing Peng:
  Neural Network-Based Method for Solving Inverse Kinematics of Hyper-redundant Cable-Driven Manipulators. ICIRA (3) 2021: 503-514
• 
  Teodoro Ibarra-Pérez, Maria del Rosario Martinez-Blanco, Fernando Olivera Domingo, José Manuel Ortiz-Rodriguez, Javier Gomez Escribano:
  A novel optimization robust design of artificial neural networks to solve the inverse kinematics of a manipulator of 6 DOF. ICIT 2021: 838-843
• 
  Huichen Ma, Junjie Zhou, Jian Zhang, Lingyu Zhang:
  Research on the inverse kinematics prediction of a soft actuator via BP neural network. CoRR abs/2110.13418 (2021)
• 2020
• 
  Ruihua Gao:
  Inverse kinematics solution of Robotics based on neural network algorithms. J. Ambient Intell. Humaniz. Comput. 11(12): 6199-6209 (2020)
• 
  Ahmed A. Hassan, Mohamed El-Habrouk, Samir Deghedie:
  Inverse Kinematics of Redundant Manipulators Formulated as Quadratic Programming Optimization Problem Solved Using Recurrent Neural Networks: A Review. Robotica 38(8): 1495-1512 (2020)
• 
  Hassan Ashraf Elkholy, Abdalla Saber Shahin, Abdelaziz Wasfy Shaarawy, Hagar Marzouk, Mahmoud Elsamanty:
  Solving Inverse Kinematics of a 7-DOF Manipulator Using Convolutional Neural Network. AICV 2020: 343-352
• 
  Jiefeng Li, Chao Xu, Zhicun Chen, Siyuan Bian, Lixin Yang, Cewu Lu:
  HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimation. CoRR abs/2011.14672 (2020)
• 2019
• 
  Hideaki Takatani, Nozomu Araki, Takao Sato, Yasuo Konishi:
  Neural network-based construction of inverse kinematics model for serial redundant manipulators. Artif. Life Robotics 24(4): 487-493 (2019)
• 
  Jacket Demby's, Yixiang Gao, Guilherme N. DeSouza:
  A Study on Solving the Inverse Kinematics of Serial Robots using Artificial Neural Network and Fuzzy Neural Network. FUZZ-IEEE 2019: 1-6
• 
  Malte Schilling:
  Setup of a Recurrent Neural Network as a Body Model for Solving Inverse and Forward Kinematics as well as Dynamics for a Redundant Manipulator. IJCNN 2019: 1-8

skipping 59 more matches