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

In order to ensure stable gripping performance of manipulator in a dynamic environment, a
target object grab setting model based on the candidate region suggestion network is …

General object grasping is an important yet unsolved problem in the field of robotics. Most of
the current methods either generate grasp poses with few DoF that fail to cover most of the …

Featured Application This paper presents a simulation model based on cosimulation
between ADAMS and MATLAB/Simulink, designed to evaluate pick-points for an arbitrary …

Imitation learning of robot policies from few demonstrations is crucial in open-ended
applications. We propose a new method, Interaction Warping, for learning SE (3) robotic …

Learning-based approaches to grasp planning are preferred over analytical methods due to
their ability to better generalize to new, partially observed objects. However, data collection …

In this letter, we address the problem of task-informed grasping in scenarios where only
incomplete or partial object information is available. Existing methods, which either focus on …

This work presents an approach for part-based grasp planning in point clouds. A complete
pipeline is proposed that allows a robot manipulator equipped with a range camera to …

Generating model-free grasps in complex scattered scenes remains a challenging task.
Most current methods adopt PointNet++ as the backbone to extract structural features, while …

Grasp estimation is a fundamental technique crucial for robot manipulation tasks. In this
work, we present a scene-oriented grasp estimation scheme taking constraints of the grasp …