Event-triggered adaptive neural prescribed performance admittance control for constrained robotic systems without velocity measurements-Reference-Cited by-同舟云学术

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Event-triggered adaptive neural prescribed performance admittance control for constrained robotic systems without velocity measurements

Published:2024-08 Issue: Volume: Page:
ISSN:0019-0578
Container-title:ISA Transactions
language:en
Short-container-title:ISA Transactions

Author:

Fan Penghui,Peng Jinzhu^ORCID,Yu Hongshan,Ding Shuai,Wang Yaonan

Publisher

Elsevier BV

Reference34 articles.

1. Discrete-time practical robotic control for human–robot interaction with state constraint and sensorless force estimation;Ma;ISA Trans,2022

2. Factors for personalization and localization to optimize human–robot interaction: A literature review;Gasteiger;Int J Soc Robot,2023

3. Fuzzy variable impedance-based adaptive neural network control in physical human–robot interaction;Liu;Proc Inst Mech Eng,2023

4. Design of a new passive end-effector based on constant-force mechanism for robotic polishing;Wei;Robot Comput-Integr Manuf,2022

5. Complex in-hand manipulation via compliance-enabled finger gaiting and multi-modal planning;Morgan;IEEE Robot Autom Lett,2022

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