Autonomous Grinding (AG) is a unique kind of manufacturing process which needs extra
operative care, for both robot and environment. Due to the rapid growth of research on AG, a …

This paper presents a framework for the motion planning and control of redundant
manipulators with the added task of collision avoidance. The algorithms that were previously …

Manufacturing industries are eager to replace traditional robot manipulators with
collaborative robots due to their cost-effectiveness, safety, smaller footprint and intuitive user …

In this work, a comprehensive control strategy for obstacle avoidance in redundant
manipulation is presented, consisting of a combination of off-line path planning algorithms …

This paper presents the implementation of an obstacle avoidance algorithm on the UR5e
collaborative robot. The algorithm, previously developed and verified in simulation, allows …

Redundancy in robotic manipulators has many advantages. It is successfully used to
achieve better dexterity, and to avoid obstacles, singularities, or the kinematic limitations …

For the large redundant manipulator, due to its long working distance and large mass, the
number of links (ie, manipulator's arms) that can be driven to move simultaneously is limited …

A central aspect of robotic motion planning is collision avoidance, where a multitude of
different approaches are currently in use. Optimization-based motion planning is one …

Safety and accuracy are essential for path planning in a surgical navigation system. In this
paper, an improved path planning algorithm is proposed to increase the autonomous level …

This paper introduces a new method to solve the collision-free path planning problem for
industrial robots considering safe human–robot coexistence. The aim is to keep the robot at …