Prabhu Sethuramalingam

According to our database, Prabhu Sethuramalingam authored at least 18 papers between 2009 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2026

Deep learning-based object identification for grasping force control of a robotic soft end effector.

Dhruba Jyoti Sut, Prabhu Sethuramalingam

Robotics Auton. Syst., 2026

2025

Performance Analysis of Cobalt Chromium Alloy Based Femoral Knee Components Polishing Using Industrial IRB 2400 Robot.

C. H. Vasanth Kumar, M. Uma, M. M. Reddy, Ragavendra Rao V, Prabhu Sethuramalingam

J. Field Robotics, December, 2025

Automatic channel selection using multi-objective prioritized jellyfish search (MPJS) algorithm for motor imagery classification using modified DB-EEGNET.

D. Senthil Vadivelan, Prabhu Sethuramalingam

Neural Comput. Appl., March, 2025

Development and control of a suction gripper system for non-contact handling of fragile thin sheets using axial flow fans.

C. H. Vasanth Kumar, Prabhu Sethuramalingam

Int. J. Intell. Robotics Appl., March, 2025

Design and analysis of soft flexible gripper of robot using Taguchi-fuzzy logic analysis.

C. H. Vasanth Kumar, Prabhu Sethuramalingam, Ragavendra Rao V

J. Syst. Control. Eng., 2025

Optimising the design and development of bio-inspired soft robotic grippers: a Taguchi-based approach enhanced by TOPSIS multi-objective technique.

Prabhu Sethuramalingam, Arvindkumar Ranganathan, M. Uma, M. M. Reddy

Int. J. Manuf. Res., 2025

A hybrid approach for EEG motor imagery classification using adaptive margin disparity and knowledge transfer in convolutional neural networks.

D. Senthil Vadivelan, Prabhu Sethuramalingam

Comput. Biol. Medicine, 2025

Deep Learning-Driven Design and Analysis of an Autonomous Robotic System for In-Pipe Inspection.

Ambigai Rajasekaran, Uma Mohan, Sethuramalingam Prabhu, Shaik Ayman Hameed Baig, Shaik Sameer Pasha, Srinivasan Sridhar, Utsav Jain, Arvind Sekhar, Aryan Dwivedi, Praneeth Kasiraju

Algorithms, 2025

Defect Detection and Classification on Robot-Painted Pattern Surfaces Using Machine Learning Techniques.

Nakul Limbani, Shiv Rastogi, Premalatha G, S. Prabhu, G. Vadivu

Proceedings of the Computational Intelligence in Data Science, 2025

2024

Design optimisation and an experimental assessment of soft actuator for robotic grasping.

Dhruba Jyoti Sut, Prabhu Sethuramalingam

Int. J. Intell. Robotics Appl., September, 2024

Design and development of universal soft robotic end effector through machine learning on the IRB 360 robot.

Prabhu Sethuramalingam, M. Uma, V. Darshan, K. S. Sumesh

Int. J. Intell. Robotics Appl., September, 2024

Optimizing IRB1410 industrial robot painting processes through Taguchi method and fuzzy logic integration with machine learning.

R. Santhosh, Dhruba Jyoti Sut, M. Uma, Prabhu Sethuramalingam

Int. J. Intell. Robotics Appl., June, 2024

2023

Soft Manipulator for Soft Robotic Applications: a Review.

Dhruba Jyoti Sut, Prabhu Sethuramalingam

J. Intell. Robotic Syst., May, 2023

2021

Neural network and multi-objective optimization of confined flow characteristics on circular cylinder in standing double vortex region.

Rajendran Senthilkumar, Premalatha Vasudevan, Sethuramalingam Prabhu

Neural Comput. Appl., 2021

MeWBots: Mecanum-Wheeled Robots for Collaborative Manipulation in an Obstacle-Clustered Environment Without Communication.

Aditya Rauniyar, Hem Chandra Upreti, Aman Mishra, Prabhu Sethuramalingam

J. Intell. Robotic Syst., 2021

Analysis of Effect of RSVP Speller BCI Paradigm Along with CNN to Analysis P300 Signals.

M. Uma, S. Prabhu, Murali Subramaniyam, Seung Nam Min

Proceedings of the Augmented Cognition, 2021

2015

Surface roughness prediction using Taguchi-fuzzy logic-neural network analysis for CNT nanofluids based grinding process.

S. Prabhu, M. Uma, B. K. Vinayagam

Neural Comput. Appl., 2015

2009

Nano-surface generation using Electrolytic In-Process Dressing (ELID) technique in grinding process.

S. Prabhu, B. K. Vinayagam

Int. J. Manuf. Res., 2009