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

We review the work on data-driven grasp synthesis and the methodologies for sampling and
ranking candidate grasps. We divide the approaches into three groups based on whether …

Since the introduction and widespread adoption of the Robot Operating System (ROS), the
mobile manipulation and mobile service robot communities have seen great advances in …

Given an image and an aligned depth map of an object, our goal is to estimate the full 7-
dimensional gripper configuration—its 3D location, 3D orientation and the gripper opening …

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

We propose a new large-scale database containing grasps that are applied to a large set of
objects from numerous categories. These grasps are generated in simulation and are …

We present a novel robotic grasp controller that allows a sensorized parallel jaw gripper to
gently pick up and set down unknown objects once a grasp location has been selected. Our …

This paper surveys recently published literature on tactile sensing in robotic manipulation to
understand effective strategies for using tactile sensing and the issues involved in tactile …

It is important for a robot to be able to interpret natural language commands given by a
human. In this paper, we consider performing a sequence of mobile manipulation tasks with …