Industry 4.0 leads to the digitalization era. Everything is digital; business models,
environments, production systems, machines, operators, products and services. It's all …

Learning from demonstration (LfD) has been used to help robots to implement manipulation
tasks autonomously, in particular, to learn manipulation behaviors from observing the motion …

We propose a novel approach to multi-robot collaboration that harnesses the power of pre-
trained large language models (LLMs) for both high-level communication and low-level path …

This paper presents a literature review on the different aspects of task allocation and
assignment problems in human–robot collaboration (HRC) tasks in industrial assembly …

In this review paper, recent developments in robotic problems are cited. A robotic
manufacturing system includes at least a robot-as a material handling device-, a co-worker …

Many exciting robotic applications require multiple robots with many degrees of freedom,
such as manipulators, to coordinate their motion in a shared workspace. Discovering high …

Despite their contributions to the financial efficiency and environmental sustainability of
industrial processes, robotic assembly and disassembly have been understudied in the …

Dexterous gras** aims to produce diverse gras** postures with a high gras**
success rate. Regression-based methods that directly predict gras** parameters given the …

Swarms of autonomous devices are increasing in ubiquity and size, making the need for
rethinking their hardware-software system stack critical. We present HiveMind, the first …

Time optimality and completeness are desired properties for robot trajectory planning, which
ensure that robotic systems work reliably and efficiently. However, there is great difficulty to …