This paper presents the workflow to create a robotic humanoid hand simulation environment using two top software packages and also the implementation of an intelligent hybrid force - position control method using neural networks for force closing operation of a humanoid robotic hand modeled in the 3D virtual environment. The benefits that the 3D modeling provides are described and then the results of the proposed method are presented. This approach allows studying the motion of the robotic system under different circumstances without any greater costs.
In this paper, a navigation system for autonomous mobile robots that move into unknown environments based on artificial potential field is presented. The robot moves to a predefined target point while detects and maps every encounter object using its artificial monocular vision system based on intrinsic camera parameters. During navigation, every obstacle is associated with a repulsive field depending on the distance and relative position to the robot, while the target point has an attractive field. Combining those values of potential field defines the direction of the next step of the robot. The results reported are showing the behavior of the method in three scenarios, avoiding obstacles, going through a narrow corridor and escaping from a minimum local trap.
Bioinspired solution can support significant improvements across various fields of robotics, offering solutions to basic problems such as locomotion and manipulation in unstructured environments. This paper deals with the problem of using a bioinspired solution in building a hyper-redundant robotic arm. In the recent period, were developed an important number of application using like an octopus or like snake or like a trunk of elephant solutions for robotic arms. Such kind of projects must solve difficult problems on the way from design to implementation. The problems are mainly linked with the actuation solution, with the control of the structure, with sensors to close the control loop, technology for the implementation. In this paper we focus on the process of modelling, simulating, and designing of hyper-redundant robotic arm
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