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.
Research on hybrid position and force control of robot manipulators has assumed that the structure of constraint surface is known exactly. However, in many force control applications of robot, the exact model of the constraint surface cannot be obtained. In the presence of the constraint uncertainty, it is difficult to analyse the stability of the force control system. A vision-based neural network...
In many applications of robot manipulators, the end-effector is required to make contact with environment. In these applications, it is necessary to control not only the position but also the interaction force between the robot end-effector and environment. Most research so far on motion and force tracking control has assumed that the kinematics and constraint surface are exactly known. In this paper,...
Most research on vision and force control of robot manipulators has assumed that the kinematics and constraint surface are known exactly. In this paper, the vision and force control problem of robots with uncertain kinematics, dynamics and constraint is addressed. An adaptive setpoint control law based on neural networks is proposed. Sufficient conditions for choosing the feedback gains are presented...
Most research so far on motion and force tracking has assumed that the kinematics and dynamics are exactly known. In this paper, we propose an visually-servoed adaptive Jacobian controller for motion and force tracking with uncertainties in kinematics, dynamics and camera model. It is shown that the robot end-effector can track the desired position and force trajectories with the uncertain parameters...
Most research so far on motion and force tracking control of robots has assumed that the kinematics and dynamics are exactly known. In this paper, we propose an adaptive Jacobian controller for motion and force tracking with uncertainties in kinematics and dynamics. It is shown that the robot end-effector can track the desired position and force trajectories with the uncertain parameters updated online...
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.