Position control of vision based robot hand-fusion of 2-D image and discrete range image by multi-agent

Author(s):  
K. Nakazawa ◽  
T. Oshita
2018 ◽  
Vol 7 (3.11) ◽  
pp. 10 ◽  
Author(s):  
Khairunnisa Nasir ◽  
Ruhizan Liza Ahmad Shauri ◽  
Norshariza Mohd Salleh ◽  
Nurul Hanani Remeli

Position-based impedance control is a force control approach which consists of a single control law that accommodates the external force to achieve the desired dynamics of the body. A previously developed three-fingered robot hand was very rigid in its motion due to the application of position control alone. The position control scheme was inadequate for the tasks that involves the interaction of a robot end-effector with its environment which could damage fragile objects or be prone to slippage when provided with incorrect object's position. This paper introduces the application of two-axis position-based impedance control to one of the 2 degree-of-freedom (DOF) robotic finger of the robot hand. The goal of the control is to produce a mass-spring-dashpot system for the robot hand which considers the external force exerted by the object or environment onto the finger to modify the targeted position of the robot's tip-end. The position-based impedance control which was successfully performed however could not directly drive the DC-micromotors at the finger joints since it was expressed in the Cartesian position (X,Y,Z) form. Therefore, inverse kinematics was derived using geometrical approach to convert the Cartesian position (X,Y,Z) to angle position of motor which is controlled by PID. The proposed control and the developed kinematics were programmed using Matlab Simulink and tested in real-time experiments. The validation result has proven that the proposed position-based impedance control could modify the initial fingertip position according to the amount and direction of the applied external force, thus produced softness to the robotic finger.  


2009 ◽  
Vol 2009 (0) ◽  
pp. _2A2-B22_1-_2A2-B22_2
Author(s):  
Yu SAITO ◽  
Daisuke MAEMOTO ◽  
Futoshi KOBAYASHI ◽  
Fumio KOJIMA ◽  
Hiroyuki NAKAMOTO ◽  
...  

Author(s):  
Smaine Mazouzi ◽  
Zahia Guessoum ◽  
Fabien Michel ◽  
Mohamed Batouche

2010 ◽  
Vol 37-38 ◽  
pp. 923-926 ◽  
Author(s):  
Ming He Jin ◽  
Dong Jian Wang ◽  
Shao Wei Fan ◽  
Zhao Peng Chen

This paper presented a control platform for HIT/DLR II robot hand, which is based on QNX real-time operating system and Simulink software. The platform accelerates the development of robot hand control algorithm and hardware-in-the-loop (HIL) testing using Model-Based Design techniques of MATLAB Simulink. This paper also validated the performance of the platform by using two applications: single-finger position control and grasp application.


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