Robotic platforms that can efficiently collaborate with humans in physical tasks constitute a
major goal in robotics. However, many existing robotic platforms are either designed for …

Human-robot collaboration has gained a notable prominence in Industry 4.0, as the use of
collaborative robots increases efficiency and productivity in the automation process …

Collaborative robotic systems will be a key enabling technology for current and future
industrial applications. The main aspect of such applications is to guarantee safety for …

Introduction A hot cell is generally deployed with a teleoperation power manipulator to
complete tests, operations, and maintenance. The position and pose of the manipulator are …

Collaborative robots are becoming more common on factory floors as well as regular
environments, however, their safety still is not a fully solved issue. Collision detection does …

Robot pose estimation plays a fundamental role in various applications involving service
and industrial robots. Among the methods used for robot pose estimation from a single …

Convolutional networks have been extensively applied to obtain features spaces for
classification tasks. Although those achieve high accuracy in many scenarios, typically only …

In this paper, the feasibility of applying transfer learning for modeling robot manipulators is
examined. A neural network-based transfer learning approach of inverse displacement …

In human-robot collaborative scenarios human workers operate alongside and with robots to
jointly perform allocated tasks within a shared work environment. One of the basic …

Industrial robots are widely used in current production lines, and complex pipeline
processes, especially those with different assembly requirements, are designed for …