Recently human–robot collaboration (HRC) has emerged as a promising paradigm for mass
personalization in manufacturing owing to the potential to fully exploit the strength of human …

Human–robot interaction (HRI) has escalated in notability in recent years, and multimodal
communication and control strategies are necessitated to guarantee a secure, efficient, and …

In the context of social informatization, the continuous progress of information technology
has promoted the emergence and rapid development of new media. In recent years, the …

Current Humanoid Service Robot (HSR) behaviours mainly rely on static models that cannot
adapt dynamically to meet individual customer attitudes and preferences. In this work, we …

Navigation is an essential skill for robots. It becomes a cumbersome task for the robot in a
human-populated environment, and Industry 5.0 is an emerging trend that focuses on the …

This paper proposes a novel constrained optimization model to address the loco-
manipulation problem of mobile robot with redundant manipulator for trajectory tracking. To …

Newly deployed trains have massive normal data and scarce faulty data for training, which
limits the diagnosis accuracy with class imbalance problem of small samples. Considering …

This paper presents a novel local path planning algorithm developed based on the new free
space attraction (Agoraphilic) concept. The proposed algorithm is capable of navigating …

Robot learning has attracted an ever-increasing attention by automating complex tasks,
reducing errors, and increasing production speed and flexibility, which leads to significant …

Abstract Cross-domain Few-shot Learning (CD-FSL) aims to address the challenges of FSL
where significant domain gaps exist between source and target image datasets. Unlike …