Titlebook: Intelligent Robotics and Applications; Third International Honghai Liu,Han Ding,Xiangyang Zhu Conference proceedings 2010 Springer Berlin

Invertebrate

vertebrate

Operator-Based Robust Nonlinear Control for Ionic Polymer Metal Composite with Uncertainties and Hysng to hysteresis and uncertainties for the proposed model, a nonlinear robust control using operator-based robust right coprime factorization is designed for the IPMC. The effectiveness of the proposed method is confirmed through simulation and experiment.

ineptitude

有權

Conference proceedings 2010 most highly visible applications of robotics has been the robotic automation of many industrial tasks in factories. In the future, a new era will come in which we will see a greater success for robotics in non-industrial environments. In order to anticipate a wider deployment of intelligent and aut

Distribution

Changeable Grasping Force Unit for Under-Actuated Gripper with Self-adaptive Graspinger is fully used by the CGF unit. Analysis is conducted to explain relation between changeable forces and corresponding parameters. As a consequence, the CGF unit presented in this paper not only provides changeable forces for TH-3L Hand but also throw light on design approach which combines CGF unit and under-actuation.

偶然

Efficient Grasp Planning with Reachability Analysisat the grasping poses for the real object can be generated. Concrete grasps at a grasping pose will be further checked for its grasp quality. Real experiments with two different robotic hands show the efficiency and feasibility of our method.

安定

磨碎

A Continuous Control Scheme for Multifunctional Robotic Arm with Surface EMG Signaler perception (MLP) neural network. At last the data of several subjects is analyzed, and it shows good recognition accuracy. Using this system, the subjects can control a robotic arm to perform desired movements intuitively.

享樂主義者

感情

Hysteresis Modeling of Piezoelectric Actuators Using the Fuzzy Systemsubspaces are obtained by introducing the nearest neighbor and super radius concepts. The consequent parameter optimization is implemented after training the fuzzy system. Experimental results demonstrate that this methodology is algorithmically easy and can achieve high modeling accuracy.