Biological systems, including human beings, have the innate ability to perform complex
tasks in a versatile and agile manner. Researchers in sensorimotor control have aimed to …

Robots that physically interact with their surroundings, in order to accomplish some tasks or
assist humans in their activities, require to exploit contact forces in a safe and proficient …

Behavioral cloning of imitation learning is theoretically sound that can capture and generate
the motor skills from expert demonstrations, but they suffer poor adaptability with a small …

Dynamic movement primitives (DMPs) have been widely applied in robot motion planning
and control. However, in some special cases, original discrete DMP fails to generalize …

Performing bimanual tasks with dual robotic setups can drastically increase the impact on
industrial and daily life applications. However, performing a bimanual task brings many …

In robotic applications where the autonomy is shared between the human and the robot, the
autonomous behavior of the robotic system is determined considering mainly the task to be …

We present a control framework for achieving a robust object grasp and manipulation in
hand. In-hand manipulation remains a demanding task as the object is never stable and task …

Due to changes in the environment and errors that occurred during skill initialization, the
robot's operational skills should be modified to adapt to new tasks. As such, skills learned by …

This work investigates how the intricate task of a continuous pick & place (P&P) motion may
be learned from humans based on demonstrations and corrections. Due to the complexity of …

This paper provides a structured and practical roadmap for practitioners to integrate learning
from demonstration (LfD) into manufacturing tasks, with a specific focus on industrial …