Avoidance is a necessary capability for a mobile robot to perform tasks, such as delivering
objects in household or industrial scenarios. The existing avoidance strategy based on …

Robotic manipulation employs the object detection in images to create a scene awareness
and locate an object's pose. In dynamic scenarios, fast multiobject detection and tracking are …

Robotic grasp in complex open-world scenarios requires an effective and generalizable
perception. Estimating object's pose is needed in a variety of practical grasping scenarios …

A lot of objects commonly found in industrial and household environments are represented
by cylindrical shapes (flange plates) and ellipsoids (oranges). The visual tops of cylindrical …

Ellipse detection is one of the important parts of intelligent manufacturing, and the efficient
detection of elliptical contours corresponding to hole parts is the prerequisite before …

With the increasingly extensive application of robots in industrial production, visual of the
robotic arm has become an important research direction in the field of robots, which is also …

In this work, we focus on building the model of optimization design of the fingertip to
evaluate the best fingertip shape and determining the size range of objects grasped by …

Performing a grasp is a pivotal capability for a robotic gripper. We propose a new evaluation
approach of the quality of grasping stability via constructing a model of grasping stiffness …

Traditional robot teaching methods are cumbersome, tedious and difficult to scale for high-
mix low-volume applications. The tape masking, a common process for surface protection …

We propose a high efficient learning approach to estimating 6D (Degree of Freedom) pose
of the textured or texture-less objects for grasping purposes in a cluttered environment …