Bibhuti Bhusan Biswal

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A robotic assembly sequence is considered to be optimal when it minimizes assembly cost and satisfies the process constraints. The assembly cost relates to assembly operations, assembly motions and assembly direction changes. The present work utilizes an ant colony optimization (ACO) method for generation of optimized robotic assembly sequences. The method(More)
Soft computing (SC) methods are well known for their remarkable ability of learning from experimental data set to describe nonlinear and interaction effect with great success. Due to complex mechanism and uncertainty of the fused deposition modelling (FDM) process, of late, SC methods are preferred compare to theoretical model (physics-based) for measuring(More)
Abstract: The work presents an appropriate methodology for generation of assembly sequences. Several existing methods are studied and applied on randomly chosen products, which are then used as building blocks for development of a simplified and appropriate methodology for generation of robotic assembly sequences. The developed methodologies are validated(More)
Robotic manipulators with three-revolute (3R) positional configurations are very common in the industrial robots (IRs). The capability of a robot largely depends on the workspace (WS) of the manipulator apart from other parameters. With the constraints in mind the optimization of the workspace is of prime importance in designing the manipulator. The present(More)
The selection of robot for a particular application is a critical issue and it depends on large number of parameters. With changing product design parameters, improving robot technology the problem of robot selection has been of concern to users. This problem has become more difficult in recent years due to increasing complexity, available features, and(More)