Bayesian heterogeneous assembly time modeling for robotic performance prediction

Hazard Regression Modeling for Robotic Performance Prediction

Robotic systems are widely applied in process industry to reduce manufacturing labor costs and increase production productivity. Due to the uncertainties existed in the manufacturing environment, the performance improvement of the assembly process is important yet challenging. This paper proposes a regression-based method to predict the performance of the robotic assembly process. Statistical h...

Assembly line performance and modeling

Automobile sector forms the backbone of manufacturing sector. Vehicle assembly line is important section in automobile plant where repetitive tasks are performed one after another at different workstations. In this thesis, a methodology is proposed to reduce cycle time and time loss due to important factors like equipment failure, shortage of inventory, absenteeism, set-up, material handling, r...

A heterogeneous distributed visual servoing system for real-time robotic assembly applications

We describe a multi-loop robotic control architecture that for the fine-motion control required for object tracking uses two different loops that depend on entirely different approaches for visual servoing. One tracking loop uses fast blob analysis of the camera images for servo control. The other tracking loop, which is more robust but slower, uses model-based line matchings for a more robust ...

Error Recovery by the Use of Sensory Feedback and Reference Measurements for Robotic Assembly

Industrial robots need instrument or parts transport to do which requires coordinate to show the robot’s instrument, parts and body. When investigating the robot location, we are usually interested in measuring its location relative to a reference coordinate system. In this system it is attempted to make the assemble direction smaller by designing the sensor board and making use of an instrumen...

Modeling Time - critical Tasks for Heterogeneous