Abstract Purpose of Review This review provides a comprehensive overview of machine
learning approaches for vision-based robotic gras** and manipulation. Current trends and …

This article surveys the literature on human–robot object handovers. A handover is a
collaborative joint action, where an agent, the giver, gives an object to another agent, the …

As the basis for prehensile manipulation, it is vital to enable robots to grasp as robustly as
humans. Our innate gras** system is prompt, accurate, flexible, and continuous across …

Birds take off and land on a wide range of complex surfaces. In contrast, current robots are
limited in their ability to dynamically grasp irregular objects. Leveraging recent findings on …

In this paper, we present a modular robotic system to tackle the problem of generating and
performing antipodal robotic grasps for unknown objects from the n-channel image of the …

Object recognition is among the basic survival skills of human beings and other animals. To
date, artificial intelligence (AI) assisted high-performance object recognition is primarily …

In this letter, we present a transformer-based architecture, namely TF-Grasp, for robotic
grasp detection. The developed TF-Grasp framework has two elaborate designs making it …