Analysis of weight perception, load forces, and objects' motions in lifting objects with a power assist robot system to modify the control

Author(s):  
S.M. Mizanoor Rahman ◽  
Ryojun Ikeura ◽  
Hideki Sawai
Author(s):  
Limin Wen ◽  
Yutaka Ishibashi ◽  
Pingguo Huang ◽  
Yuichiro Tateiwa ◽  
Hitoshi Ohnishi

2012 ◽  
Vol 2012 ◽  
pp. 1-12 ◽  
Author(s):  
S. M. Mizanoor Rahman ◽  
Ryojun Ikeura

Power assist systems are usually used for rehabilitation, healthcare, and so forth.This paper puts emphasis on the use of power assist systems for object transfer and thus brings a novelty in the power-assist applications. However, the interactions between the systems and the human users are usually not satisfactory because human features are not included in the control design. In this paper, we present the development of a 1-DOF power assist system for horizontal transfer of objects. We included human features such as weight perception in the system dynamics and control. We then simulated the system using MATLAB/Simulink for transferring objects with it and (i) determined the optimum maneuverability conditions for object transfer, (ii) determined psychophysical relationships between actual and perceived weights, and (iii) analyzed load forces and motion features. We then used the findings to design a novel adaptive control scheme to improve the interactions between the user and the system. We implemented the novel control (simulated the system again using the novel control), the subjects evaluated the system, and the results showed that the novel control reduced the excessive load forces and accelerations and thus improved the human-system interactions in terms of maneuverability, safety, and so forth. Finally, we proposed to use the findings to develop power assist systems for manipulating heavy objects in industries that may improve interactions between the systems and the users.


2011 ◽  
Vol 2-3 ◽  
pp. 277-280 ◽  
Author(s):  
S.M. Mizanoor Rahman ◽  
Ryojun Ikeura ◽  
Soichiro Hayakawa ◽  
Hao Yong Yu

We developed a 1-DOF power assist robot system to lift objects of different sizes by human subjects. We adopted a hypothesis that weight perception due to inertia might be different from that due to gravity when lifting an object with a power assist robot because the human feels a difference between the actual weight and the perceived weight of the object. We included this hypothesis in the robot dynamics. We then discussed the suitability of force control for the robot for lifting objects and developed several weight-perception-based force control strategies. These force control strategies may be compared to previously developed position control strategies, and the comparison results may help determine appropriate control for the robot to achieve desired maneuverability. The results, as a whole, may help develop human-friendly power assist devices to handle heavy objects in various industries.


2013 ◽  
Author(s):  
Marissa D. Alert ◽  
Erin N. Etzel ◽  
Katie E. Chipungu ◽  
Judith R. McCalla ◽  
Patrice G. Saab ◽  
...  

10.29007/zw9k ◽  
2020 ◽  
Author(s):  
Kazuhide Nakata ◽  
Kazuki Umemoto ◽  
Kenji Kaneko ◽  
Ryusuke Fujisawa

This study addresses the development of a robot for inspection of old bridges. By suspending the robot with a wire and controlling the wire length, the movement of the robot is realized. The robot mounts a high-definition camera and aims to detect cracks on the concrete surface of the bridge using this camera. An inspection method using an unmanned aerial vehicle (UAV) has been proposed. Compared to the method using an unmanned aerial vehicle, the wire suspended robot system has the advantage of insensitivity to wind and ability to carry heavy equipments, this makes it possible to install a high-definition camera and a cleaning function to find cracks that are difficult to detect due to dirt.


2016 ◽  
Vol 9 (2) ◽  
pp. 125-135 ◽  
Author(s):  
Jingang Jiang ◽  
Zhao Wang ◽  
Yongde Zhang ◽  
Xiaoyang Yu ◽  
Xiaowei Guo ◽  
...  
Keyword(s):  

Author(s):  
Zheng Xiao

Background: In order to study the interference of wired transmission mode on robot motion, a mobile robot attitude calculation and debugging system based on radio frequency (RF) technology is proposed. Methods: Microcontroller STM32 has been used as the control core for the attitude information of the robot by using MEMS gyroscope and accelerometer. The optimal attitude Angle of the robot is calculated through nRF24L01 which is the core of the wireless communication module, attitude acquisition module and wireless data communication upper computer application platform. Results: The results shows that the positioning accuracy is better than±5mm. Conclusion: The experimental results show that the proposed attitude solving and debugging system of mobile robot based on RF technology has better reliability and real-time performance. The propped model is convenient for debugging of mobile robot system and has certain engineering application value.


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