Human–robot collaboration (HRC) plays a pivotal role in today's industry by supporting
increasingly customised product development. Via HRC, the strengths of humans and robots …

Imitation Learning (IL), also referred to as Learning from Demonstration (LfD), holds
significant promise for capturing expert motor skills through efficient imitation, facilitating …

Abstract Obstacle avoidance for Dynamic Movement Primitives (DMPs) is still a challenging
problem. In our previous work, we proposed a framework for obstacle avoidance based on …

Placing robotsoutside controlled conditions requires versatile movement representations
that allow robots to learn new tasks and adapt them to environmental changes. The …

Abstract Dynamic Movement Primitives (DMPs) is a framework for learning a point-to-point
trajectory from a demonstration. Despite being widely used, DMPs still present some …

The current research focus in Robot-Assisted Minimally Invasive Surgery (RAMIS) is
directed towards increasing the level of robot autonomy, to place surgeons in a supervisory …

The use of robots in minimally invasive surgery has improved the quality of standard surgical
procedures. So far, only the automation of simple surgical actions has been investigated by …

Robotic dual-arm manipulation often requires close cooperation between the arms. Dual-
arm manipulation tasks are always difficult to program in advance, and then, executed …

Abstract “Motion generation by imitating” enables a robot to generate its trajectory in a new
environment. Research works on dynamic movement primitives (DMP) has reported …

Remote teleoperation is an important robot control method when they cannot operate fully
autonomously. Yet, teleoperation presents challenges to effective and full robot utilization …