Force feedback control of robot manipulator by the acceleration tracing orientation method

1990 ◽  
Vol 37 (1) ◽  
pp. 6-12 ◽  
Author(s):  
S. Komada ◽  
K. Ohnishi
Biomimetics ◽  
2020 ◽  
Vol 5 (2) ◽  
pp. 19 ◽  
Author(s):  
Alex Ellery

We present a comprehensive tutorial review that explores the application of bio-inspired approaches to robot control systems for grappling and manipulating a wide range of space debris targets. Current robot manipulator control systems exploit limited techniques which can be supplemented by additional bio-inspired methods to provide a robust suite of robot manipulation technologies. In doing so, we review bio-inspired control methods because this will be the key to enabling such capabilities. In particular, force feedback control may be supplemented with predictive forward models and software emulation of viscoelastic preflexive joint behaviour. This models human manipulation capabilities as implemented by the cerebellum and muscles/joints respectively. In effect, we are proposing a three-level control strategy based on biomimetic forward models for predictive estimation, traditional feedback control and biomimetic muscle-like preflexes. We place emphasis on bio-inspired forward modelling suggesting that all roads lead to this solution for robust and adaptive manipulator control. This promises robust and adaptive manipulation for complex tasks in salvaging space debris.


2013 ◽  
Vol 133 (8) ◽  
pp. 795-803
Author(s):  
Kazuki Nagase ◽  
Shutaro Yorozu ◽  
Takahiro Kosugi ◽  
Yuki Yokokura ◽  
Seiichiro Katsura

Sensors ◽  
2021 ◽  
Vol 21 (22) ◽  
pp. 7489
Author(s):  
Hu Shi ◽  
Boyang Zhang ◽  
Xuesong Mei ◽  
Qichun Song

Robot-assisted minimally invasive surgery (MIS) has received increasing attention, both in the academic field and clinical operation. Master/slave control is the most widely adopted manipulation mode for surgical robots. Thus, sensing the force of the surgical instruments located at the end of the slave manipulator through the main manipulator is critical to the operation. This study mainly addressed the force detection of the surgical instrument and force feedback control of the serial surgical robotic arm. A measurement device was developed to record the tool end force from the slave manipulator. An elastic element with an orthogonal beam structure was designed to sense the strain induced by force interactions. The relationship between the acting force and the output voltage was obtained through experiment, and the three-dimensional force output was decomposed using an extreme learning machine algorithm while considering the nonlinearity. The control of the force from the slave manipulator end was achieved. An impedance control strategy was adopted to restrict the force interaction amplitude. Modeling, simulation, and experimental verification were completed on the serial robotic manipulator platform along with virtual control in the MATLAB/Simulink software environment. The experimental results show that the measured force from the slave manipulator can provide feedback for impedance control with a delay of 0.15 s.


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