Autonomous robotic grasping is an essential skill for service robots to perform specified
tasks in unstructured scenarios. Previous work focus on simple pick-and-place tasks, and it …

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 …

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

Sensor fusion can significantly improve the performance of many computer vision tasks.
However, traditional fusion approaches are either not data-driven and cannot exploit prior …

The task of fully automated picking of novel bin objects that are placed in a densely cluttered
pile poses a significant challenge. It becomes even more challenging if the objects are of …

Grasping a wide range of novel objects in densely cluttered scenes is difficult due to
irregular shapes of objects and the uncertainty in sensing. In this paper, a novel vacuum cup …

Automated systems require a comprehensive understanding of their surroundings to safely
interact with the environment. By effectively fusing sensory information from multiple sensors …

This paper addresses category-agnostic instance segmentation for robotic manipulation,
focusing on segmenting objects independent of their class to enable versatile applications …