Force control in unknown environments poses a significant challenge in robotics due to the
necessity of adjusting impedance to accommodate environmental uncertainties. One …

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 …

Robotic teleoperation is highly valued for its ability to remotely execute tasks that demand
sophisticated human decision-making or that are intended to be carried out by human …

Robot control for tactile feedback based manip-ulation can be difficult due to modeling of
physical contacts, partial observability of the environment, and noise in perception and …

Medical ultrasound scanning is a challenging dexterous manipulation task for robots, even
for experienced sonogra-phers, since it involves motion control and force regulation based …

This article investigates the problem involving a fuzzy logic system (FLM)-based bilateral
teleoperation system with a unified impedance/admittance structure and learning-based …

Introduction: This study was to examine whether inter-user haptic feedback would have a
differential impact on skill acquisition based on the nature of the surgical task involved …

In this paper, a bilateral teleoperation-based robot skill learning framework is developed to
transfer multi-step and contact manipulation skills from humans to robots. Robot skill …

Acquiring human skills offers an efficient approach to tackle complex task planning
challenges. When performing a learned skill model for a continuous contact task, such as …

Plasticine shape manipulation (PSM) is essential in food processing and ceramic
production. However, it is challenging since high degrees of freedom of plasticine make it …