Learning from demonstration is one of the most promising methods to counteract the
challenging long-term trends in repetitive industrial assembly. It offers not only a …

This paper provides a classification of manufacturing types in terms of new technological
tools provided in the Industry 5.0 framework. The manufacturing types agile, holonic, flexible …

Human–robot object handover is one of the most primitive and crucial capabilities in human–
robot collaboration. It is of great significance to promote robots to truly enter human …

The goal of programmatic Learning from Demonstration (LfD) is to learn a policy in a
programming language that can be used to control a robot's behavior from a set of user …

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 …

The COVID-19 pandemic changed the healthcare regime to some extent and made humans
realize the utility of Artificial intelligence (AI) in making the situation manageable. AI is a tool …

Activity recognition combined with artificial intelligence is a vital area of research, ranging
across diverse domains, from sports and healthcare to smart homes. In the industrial …

A framework is proposed in this paper for learning variable impedance in percutaneous
puncture surgery, with the aim of simplifying the robotic puncture of soft tissues. The …

Paraconsistent Annotated Logic (PAL) is a type of non-classical logic based on concepts
that allow, under certain conditions, for one to accept contradictions without invalidating …

This paper presents a new synthesis-based approach for solving the Learning from
Demonstration (LfD) problem in robotics. Given a set of user demonstrations, the goal of …