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

In this letter, a novel grasp detection neural network Squeeze-and-Excitation ResUNet (SE-
ResUNet) is developed, where the residual block with the channel attention is integrated …

This paper reviews the robotic manipulation of deformable objects in caregiving scenarios.
Deformable objects like clothing, food, and medical supplies are ubiquitous in care tasks, yet …

In order to solve the trajectory tracking problem for robotic manipulators with dynamic
uncertainty, external disturbance and input saturation, a novel second-order sliding mode …

Accurate grasping estimation is prerequisite and key to achieving accurate robotic grasping.
As common data sources, existing RGB and Depth (RGB-D) fusion strategies hardly fully …

Planar grasp detection is one of the most fundamental tasks to robotic manipulation, and the
recent progress of consumer-grade RGB-D sensors enables delivering more …

Dear Editor, Visual localization relies on local features and searches a pre-stored GPS-
tagged image database to retrieve the reference image with the highest similarity in feature …

It is challenging for robots to detect grasps with high accuracy and efficiency-oriented to
multi-object clutter scenes, especially scenes with objects of large-scale differences …

Grasp planning with high-performance and efficiency in unstructured environments is a
critical problem that intelligent robots need to solve urgently to complete picking tasks. To …

In this paper, we make the first research effort to address the RGB-Thermal (RGB-T) crowd
counting problem with the decision-level late fusion manner. Being different from the existing …