The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In this work, we present fast and automatic robotic grasping of unknown objects by minimum number of mobile robots. A 2D range sensor is installed on a mobile robot to acquire the partial shape information of unknown objects. The candidate grasping points of unknown objects are determined for fast grasping by extracting features from partial shape information directly. After grasping trial, whether...
In this work, we present a method involving the fast grasping of an unknown object by a mobile robot with a parallel-jaw gripper. A 2D range sensor is installed on the robot at an inclined angle to acquire partial shape information regarding the unknown objects. The candidate grasping points for an unknown object can then be determined by directly extracting features from this partial shape information...
In this paper, we propose a methodology for the transition from a state in which a large irregularly shaped object lies on the ground to one in which two mobile robots support the object and prepare to transport it. Two types of robots are used. One has a gripper, and the other has a lifter. The former tilts the object, and the latter inserts the lifter and supports the object. After that, the two...
This paper addresses a rearrangement problem by a group of mobile robots and proposes a method for task assignment and path planning applicable to different kinds of environment. The method minimizes task completion time considering complexity of robot's paths in achieving the goal state of a working environment. It minimizes the number of possible delivery tasks between robots thereby reducing the...
This paper presents a work on fast robotic grasping by a mobile robot based on partial shape information of an object. The information is acquired by a laser range finder installed on the robot at an inclined angle. Feature data are extracted by scanning part of the object to calculate the grasping point. The robot grasps the object without needing to acquire and process all of the object information...
Fast transition from a stable initial state to a stable handling state is important when multiple mobile robots manipulate and transport a heavy and bulky object. In this paper, a cooperative system consisting of two mobile robots was designed to realize fast transition. A gripper robot grasps and lifts an object from one side to provide enough space for a lifter robot to lift the object. Fast transition...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.