M. V. A. Raju Bahubalendruni

Orcid: 0000-0001-6380-1962

According to our database1, M. V. A. Raju Bahubalendruni authored at least 14 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2023
Optimal resource allocation for multiple shop floor tasks in collaborative assembly.
Comput. Ind. Eng., November, 2023

Augmented reality aided object mapping for worker assistance/training in an industrial assembly context: Exploration of affordance with existing guidance techniques.
Comput. Ind. Eng., November, 2023

Augmented reality-based guidance in product assembly and maintenance/repair perspective: A state of the art review on challenges and opportunities.
Expert Syst. Appl., 2023

2022
Challenges and opportunities in human robot collaboration context of Industry 4.0 - a state of the art review.
Ind. Robot, 2022

Integrated Design for Assembly Approach for Optimal Reduced Levels of Assembly Sequence Generation using Enhanced Fruit Fly Algorithm.
Int. J. Perform. Eng., 2022

Modified Cat Swarm Optimization for Optimal Assembly Sequence Planning Problems.
Int. J. Perform. Eng., 2022

A novel computative strategic planning projections algorithm (CSPPA) to generate oblique directional interference matrix for different applications in computer-aided design.
Comput. Ind., 2022

2021
Exponential Moving Average Modelled Particle Swarm Optimization Algorithm for Efficient Disassembly Sequence Planning towards Practical Feasibility.
Int. J. Perform. Eng., 2021

2020
A Framework to Facilitate Automated Assembly Sequence Planning in Design Strategies.
Int. J. Perform. Eng., 2020

Design and Development of a Novel Pneumatic Cervical Traction Device.
Int. J. Perform. Eng., 2020

2018
An Optimal Robotic Assembly Sequence Planning by Assembly Subsets Detection Method Using Teaching Learning-Based Optimization Algorithm.
IEEE Trans Autom. Sci. Eng., 2018

2017
Robots in Medicine: Past, Present and Future.
Int. J. Manuf. Mater. Mech. Eng., 2017

2015
A general regression neural network approach for the evaluation of compressive strength of FDM prototypes.
Neural Comput. Appl., 2015

2014
Application of Artificial Intelligence Methods to Spot Welding of Commercial Aluminum Sheets (B.S. 1050).
Proceedings of Fourth International Conference on Soft Computing for Problem Solving, 2014


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