In this paper a series of studies dealing with flexible material manipulation in aspects of
manipulation, modelling and scheduling are discussed. The main purpose of this work is to …

The poor pose accuracy of industrial robots restricts their further application in aviation
manufacturing. Kinematic calibration based on position errors is a traditional method to …

The complexity of robotic path planning problems in industrial manufacturing increases
significantly with the current trends of product individualization and flexible production …

There has been an ever-going need for materials containing excellent mechanical
properties, lower density, and improved fuel efficiency in the aerospace industry. To date …

Suitable trajectories with minimum execution time are essential for an industrial robot to
enhance productivity in pick and place operations. A novel point-to-point trajectory planning …

Deep learning-based image segmentation methods have showcased tremendous potential
in defect detection applications for several manufacturing processes. Currently, majority of …

In this work, we present an inverse reinforcement learning approach for solving the problem
of task sequencing for robots in complex manufacturing processes. Our proposed framework …

We present an approach to generate path-constrained synchronous motion for the coupled
ensemble of robots. In this article, we refer to serial-link manipulators and mobile bases as …

Human–robot manipulation of soft materials, such as fabrics, composites, and sheets of
paper/cardboard, is a challenging operation that presents several relevant industrial …

Serial-link manipulators are required to execute trajectories that enable a robot end-effector
or a tool to track a Cartesian path. Practical applications may not require constraining all six …