Purpose In the present era of Industry 4.0, the manufacturing automation is moving toward
mass production and mass customization through human–robot collaboration. The purpose …

To combine the advantages of humans (adaptive intelligence) and robots (higher movement
accuracy and physical limitation), we propose a virtual reality human-robot collaborative …

To perform automatic, real-time seam tracking tasks effectively, a robust and accurate seam
tracking system must be designed. In this paper, we solve the seam tracking issue using a …

In robotic welding, the planning and generation of the motion of the welding torch are crucial
in welding complex joints. This paper presents an approach for optimal robot path planning …

To achieve high quality resistance spot welds (RSW) through intelligent manufacturing of
automotive body structures, adaptive control for RSW processes becomes imperative and …

In this study, we investigate the problem of cooperative kinematic control for multiple
redundant manipulators under partially known information using recurrent neural network …

This paper develops a laser-structured light vision system for the industrial welding
manipulator. The designed structured light vision system consisting of a line laser projector …

Vision-based control systems are widely applied in laser welding, wherein the seam and
weld pool can be directly monitored so that the welding speed and laser power can be …

There has been a recent push in robotics globally. This work makes an attempt at exploring
the role of robotics in achieving sustainability in manufacturing. Its describes the …

Unexpected equipment downtime is a 'pain point'for manufacturers, especially in that this
event usually translates to financial losses. To minimize this pain point, manufacturers are …