Traditional gras** methods for locating unpredictable positions of moving objects under
an unstructured environment cannot achieve good performance. This paper studies the …

Presents an approach to online, robot-motion planning for moving-object interception. The
proposed approach utilizes a navigation-guidance-based technique, that is robust and …

Aiming at the problems of grab failure and manipulator damage, this paper proposes a
dynamic gangue trajectory planning method for the manipulator synchronous tracking under …

We introduceCopper', a generic browser for the Internet of Things based on the Constrained
Application Protocol (CoAP). Current estimates foresee that the number of networked …

A number of active prediction planning and execution (APPE) systems have recently been
proposed for robotic interception of moving objects. The cornerstone of such systems is the …

Bimanual grabbing and tossing of packages onto trays or conveyor belts remains a human
activity in the industry. For robots, such a dynamic task requires coordination between two …

This paper investigates the use of model-based predictive control for the capture of a multi-
degrees-of-freedom object that moves in a somewhat predictable manner, using a …

A novel active prediction, planning, and execution (APPE) system is presented for the
robotic interception of moving objects. An APPE system's objective is simply to move the …

High manipulability can improve the movement ability of the robot end-effector in various
degrees of freedom when it is engaged in autonomous gras**. In this paper, we propose a …

An online planning method is proposed for an industrial manipulator to grasp a moving
object whose motion is not long-term predictable. Due to the limited time when the moving …