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Rajkumar Muthusamy

Researcher at Khalifa University

Publications -  27
Citations -  456

Rajkumar Muthusamy is an academic researcher from Khalifa University. The author has contributed to research in topics: GRASP & Computer science. The author has an hindex of 6, co-authored 21 publications receiving 273 citations. Previous affiliations of Rajkumar Muthusamy include Yuan Ze University & Aalto University.

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Journal ArticleDOI

Fuzzy-Neural-Network Inherited Sliding-Mode Control for Robot Manipulator Including Actuator Dynamics

Rong-Jong Wai, +1 more
- 01 Feb 2013 - 
TL;DR: The design and analysis of an intelligent control system that inherits the robust properties of sliding-mode control (SMC) for an n-link robot manipulator, including actuator dynamics in order to achieve a high-precision position tracking with a firm robustness is presented.
Journal ArticleDOI

Design of Fuzzy-Neural-Network-Inherited Backstepping Control for Robot Manipulator Including Actuator Dynamics

Rong-Jong Wai, +1 more
- 01 Aug 2014 - 
TL;DR: This study presents the design and analysis of an intelligent control system that inherits the systematic and recursive design methodology for an n-link robot manipulator, including actuator dynamics, in order to achieve a high-precision position tracking with a firm stability and robustness.
Journal ArticleDOI

Dual-arm cooperative manipulation under joint limit constraints

D. Ortenzi, +4 more
- 01 Jan 2018 - 
TL;DR: A kinematic controller for dual-arm cooperative manipulation that ensures safety by providing relative coordinated motion as highest priority task and joint limit avoidance and world-space trajectory following at a lower priority is proposed.
Journal ArticleDOI

Real-Time Adaptive Intelligent Control System for Quadcopter Unmanned Aerial Vehicles With Payload Uncertainties

Praveen Kumar Muthusamy, +3 more
- 01 Feb 2022 - 
TL;DR: A novel bidirectional fuzzy brain emotional learning (BFBEL) controller is proposed to control a class of uncertain nonlinear systems such as the quadcopter unmanned aerial vehicle (QUAV).
Proceedings ArticleDOI

Design and Prototype of Supernumerary Robotic Finger (SRF) Inspired by Fin Ray® Effect for Patients Suffering from Sensorimotor Hand Impairment

Irfan Hussain, +8 more
TL;DR: Results showed that proposed robotic device can improve the autonomy of patients suffering from sensorimotor hand impairment in ADL and allow them to complete tasks which otherwise are impossible to perform.