A review of advanced controller methodologies for robotic manipulators

• Type: Another Publication in an International Scientific Journal
• Date: 2025

Authors

Tinoco, V (Author) Other; Silva, MF (Author) Other; Filipe Neves Santos (Author) FCUP; Morais, R (Author) Other; Magalhaes, SA (Author) Other; Oliveira, PM (Author) Other

Journal

The Journal is awaiting validation by the Administrative Services.

Title: International Journal of Dynamics and Control

Vol. 13

ISSN: 2195-268X

Publisher: Springer Nature

Indexing

ISI Web of Knowledge - 2 Citations

Scopus - 3 Citations

Other information

Authenticus ID: P-017-SHF

DOI: 10.1007/s40435-024-01533-1

Abstract (EN): With the global population on the rise and a declining agricultural labor force, the realm of robotics research in agriculture, such as robotic manipulators, has assumed heightened significance. This article undertakes a comprehensive exploration of the latest advancements in controllers tailored for robotic manipulators. The investigation encompasses an examination of six distinct controller paradigms, complemented by the presentation of three exemplars for each category. These paradigms encompass: (i) adaptive control, (ii) sliding mode control, (iii) model predictive control, (iv) robust control, (v) fuzzy logic control and (vi) neural network control. The article further introduces and presents comparative tables for each controller category. These controllers excel in tracking trajectories and efficiently reaching reference points with rapid convergence. The key point of divergence among these controllers resides in their inherent complexity.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 17