Collaborative robotics is an umbrella term that conveys the general idea of proximity
between machines and humans for some useful tasks in a shared space, with a range of …

Abstract Industry 4.0 is taking human-robot collaboration at the center of the production
environment. Collaborative robots enhance productivity and flexibility while reducing …

Polishing is an important final machining process in manufacturing. For robotic polishing,
active compliance control is the most frequently used approach to control the contact force …

Contact force estimation enables robots to physically interact with unknown environments
and to work with human operators in a shared workspace. Most heavy-duty industrial robots …

Position error is a significant limitation for industrial robots in high-precision machining and
manufacturing. Efficient error measurement and compensation for robots equipped with end …

Deep learning has been widely used within learning algorithms for robotics. One
disadvantage of deep networks is that these networks are black-box representations …

This article proposes a novel interaction force estimation scheme capable of estimating the
interaction forces for industrial robots with high precision in the absence of force sensors …

Applying Deep Learning to control has a lot of potential for enabling the intelligent design of
robot control laws. Unfortunately common deep learning approaches to control, such as …

Along with the traditional motion control demands, human–machine collaboration properties
are becoming increasingly important in modern robotic control system. The collaboration …

Accurate acquisition of interactive information is crucial for the effective execution of
rehabilitation training. However, due to model and sensor errors, it is difficult to obtain …