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.
The shape-shifting robot AMOEBA-I is the rescue-researching robot that can adapt complex environment with different configurations. The robot with line configuration can pass through the narrow space and has the better ability of obstacles. In order to improve the environment adaptability of the robot in line configuration, the turning algorithm is proposed based on the turning-shape algorithm. The...
The shape-shifting robot AMOEBA-I has a variety of configurations and the turning ability of robot in different configurations is largely restricted by the environmental conditions. The turning performance of evaluation is done by qualitative manner and the result of evaluation is vague in recent years. The turning performance of evaluation by quantitative manner is proposed in this article. Through...
This paper presents a dynamic object grasping strategy based on the predictive control algorithm. Simulation results and preliminary experiments show that the control method is able to complete the dynamic object grasping with this strategy.
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.