This paper presents a comprehensive survey on vision-based robotic gras**. We
conclude three key tasks during vision-based robotic gras**, which are object localization …

This paper presents a comprehensive survey of data-driven robotic visual gras**
detection (DRVGD) for unknown objects. We review both object-oriented and scene …

In the manufacturing industry, shorter product production cycles and steadily rising demand
for customization put forward higher requirements for disordered gras**. The challenge of …

Robotic applications require both correct task performance and compensation for undefined
behaviors. Although deep learning is a promising approach to perform complex tasks, the …

An adaptive machine learning (ML) based smart manufacturing interactive cyber physical
human system (ICPHS) is conceptualized, designed, and implemented. One of its significant …

Robust and efficient gras** of different objects is still an open problem due to the difficulty
of integrating multidisciplinary knowledge such as gripper ontology design, perception …

The automatic detection and positioning in total laboratory automation (TLA) rely on the
cooperation of travel switches, decoders, encoders, and other devices, which affect the …

In order to deal with the multi-target search problems for swarm robots in unknown complex
environments, a multi-target coordinated search algorithm for swarm robots considering …

To effectively assist us with our daily tasks, service robots need object recognition methods
that perform robustly in dynamic environments. Our prior work has shown that augmenting …

Effective metric learning is important in various applications, especially for re-identification.
Compared with most existing re-identification methods which are not suitable for a real-time …