A new hybrid force/position control approach for time-varying constrained reconfigurable manipulators-Reference-Cited by-同舟云学术

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A new hybrid force/position control approach for time-varying constrained reconfigurable manipulators

Published:2021-04 Issue: Volume:110 Page:138-147
ISSN:0019-0578
Container-title:ISA Transactions
language:en
Short-container-title:ISA Transactions

Author:

Kumar Naveen,Rani Manju

Funder

University Grants Commission

Publisher

Elsevier BV

Subject

Applied Mathematics,Control and Systems Engineering,Electrical and Electronic Engineering,Computer Science Applications,Instrumentation

Reference37 articles.

1. Reconfigurable industrial robots: A stochastic programming approach for designing and assembling robotic arms;Valente;Robot Comput Integr Manuf,2016

2. Local joint information based active fault tolerant control for reconfigurable manipulator;Zhao;Nonlinear Dynam,2013

3. Distributed fault detection for modular and reconfigurable robots with joint torque sensing: A prediction error based approach;Ahmad;Mechatronics,2014

4. A novel ankle rehabilitation device based on a reconfigurable 3-RPS parallel manipulator;Nurahmi;Mech Mach Theory,2018

5. Adaptive hybrid position/force control of dual-arm cooperative manipulators with uncertain dynamics and closed-chain kinematics;Ren;J Franklin Inst,2017

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1. Electric shovel trajectory tracking with inversion sliding mode based on Lyapunov functions;Automation in Construction;2024-06

2. Online reinforcement learning control of robotic arm in presence of high variation in friction forces;Systems Science & Control Engineering;2023-08-31

3. Adaptive fixed‐time minimal learning force/position control of uncertain manipulators subject to input saturation;International Journal of Adaptive Control and Signal Processing;2023-01-02

4. Region-Based Force Control Strategy for Improving Profile Accuracy of Blade on 7-Axis Linkage Robotic Grinding System;IEEE/ASME Transactions on Mechatronics;2023

5. Decentralized position–force zero-sum approximate optimal control for reconfigurable robots with unmodeled dynamic;Transactions of the Institute of Measurement and Control;2022-09-01

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