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Remotely controllable wireless mobile robots are being used in many applications now days. Such systems can be restricted by the range of wireless signal. Mobile Ad-hoc Networks offer a number of advantages e.g. multi hop communication i.e. longer range; can be deployed without any infrastructure etc. This paper presents the implementation details of a wireless mobile robot system over Mobile Ad-hoc...
The paper studies the flexible robotic cells in cooperation with automated guided vehicle (AGV), in the presence of obstacles, at constant or variable speed and variable load, aiming to optimizing the interaction between AGV and flexible robotic cell components. Overall system performance is analyzed by using modeling tools for discrete event systems like Generalized Stochastic Petri Net (GSPN). The...
In this paper, we tested a dynamic control law on a 2DOF robot walking leg. To achieve this, we modeled the system using bond graphs, and the Sliding Control Method for real time control. To increase performance of the robot trajectory tracking control a fuzzy gain adjustment inside the dynamic control method have been used and the new results include the systems' influence on the sliding parameter...
The paper presents a new approach on haptic interface control for NAO robotic hand. The haptic teleoperation of NAO robot hand raises some issues, mapping the haptic device dynamic being the most important. The mapping was achieved through Neural Network by determining a dynamic gain of robot haptic feedback. The results lead to the achievement of the haptic intelligent interfaces for the NAO robot...
With aging power distribution systems and new opportunities for renewable energy generation, the smart grid and microgrid are becoming increasingly important. Microgrid allows the addition of local loads and local distributed generation (DG) including wind power, solar, hydroelectric, fuel cells, and micro-turbines. Microgrid holds out the hope of scalable growth in power distribution systems by distributed...
This paper investigates human learning and skill performance to control an underactuated pendulum-driven capsule system within an interactive virtual simulation environment. A number of experiments is conducted with 9 participants who learned to control the capsule using a physical joystick. The results show differences in learning and skill performance among the participants. Right-handed and lefthanded...
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