GNN model for time-varying matrix inversion with robust finite-time convergence

Y Zhang, S Li, J Weng, B Liao - IEEE Transactions on Neural …, 2022 - ieeexplore.ieee.org
As a type of recurrent neural networks (RNNs) modeled as dynamic systems, the gradient
neural network (GNN) is recognized as an effective method for static matrix inversion with …

A concurrent framework for constrained inverse kinematics of minimally invasive surgical robots

J Colan, A Davila, K Fozilov, Y Hasegawa - Sensors, 2023 - mdpi.com
Minimally invasive surgery has undergone significant advancements in recent years,
transforming various surgical procedures by minimizing patient trauma, postoperative pain …

A Hierarchical Control and Learning Network for Redundant Manipulators With Unknown Physical Parameters

Z **e, L **, X Lv - IEEE Transactions on Industrial Electronics, 2024 - ieeexplore.ieee.org
This article proposes a hierarchical control and learning (HCL) network to implement
multitask hierarchical control and physical parameter estimation for the redundant …

Motion coordination and dexterous manipulation for underwater vehicle-manipulator systems

F Yu, Q Li, Y Wang, Y Chen - ISA transactions, 2023 - Elsevier
This paper addresses the redundancy resolution problem for underwater vehicle-
manipulator systems (UVMSs). More specifically, a new redundancy resolution approach …

Manipulability maximization in constrained inverse kinematics of surgical robots

J Colan, A Davila, Y Hasegawa - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
In robot-assisted minimally invasive surgery (RMIS), inverse kinematics (IK) must satisfy a
remote center of motion (RCM) constraint to prevent tissue damage at the incision point …

Technical Background

Y Wang, D Wang - … Fleet Maneuvering for Multiple Autonomous Vehicle …, 2022 - Springer
This chapter provides the technical background of the collaborative fleet maneuvering
problem. The basic knowledge of vehicle model and fleet configuration is introduced. Main …

[PDF][PDF] INVERSE KINEMATICS OF ROBOTIC ARM FOR WELDING DIGITIZATION IN THE ARENA OF INDUSTRY 4.0.

M Bilal, S Hussain, W Ahmad, M Jahanzaib - Dr. Tariq Jamil - researchgate.net
To address the concerns in the manual welding process in terms of efficiency, quality, and
adaptability there is a dare need for Industry 4.0 based smart welding system. For the robot …