Research on Adaptive Variable Impedance Control Method Based on Adaptive Neuro-Fuzzy Inference System
Precise force tracking and overshoot suppression are critical for manipulator dynamic contact tasks, especially in unstructured environments such as complex surface cleaning that rely on dynamic feedback from force sensors. Traditional impedance control methods exhibit limitations through excessive...
Saved in:
| Main Authors: | Xianlun Wang, Chuanhuan Li, Dexin Cai, Yuxia Cui |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-05-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/25/10/3055 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
RAINFALL PREDICTION IN JEMBER REGENCY WITH ADAPTIVE NEURO FUZZY INFERENCE SYSTEM BASED ON GSMaP SATELLITE DATA
by: Abduh Riski, et al.
Published: (2023-09-01) -
Heating Load Prediction with Meta-Heuristic Algorithms and Adaptive Neuro-Fuzzy Inference System Integration
by: Seyed Hadi Seyed Hatami, et al.
Published: (2025-03-01) -
A Comparative Study of Hybrid Adaptive Neuro-Fuzzy Inference Systems to Predict the Unconfined Compressive Strength of Rocks
by: Annabelle Graham, et al.
Published: (2024-06-01) -
DDoS attack detection in intelligent transport systems using adaptive neuro-fuzzy inference system
by: G. Usha, et al.
Published: (2025-07-01) -
Real-Time Load Forecasting and Adaptive Control in Smart Grids Using a Hybrid Neuro-Fuzzy Approach
by: Fangzong Wang, et al.
Published: (2024-05-01)