The Flexible Neck Mechanism Design and Control of a Turtle Robot for Performance at Digital Stage

2015 ◽  
pp. 521-532
Author(s):  
Wenfu Xu ◽  
Hongtao Wang ◽  
Zhonghua Hu ◽  
Guowei Liang
Keyword(s):  
Mechanism Design ◽  
And Control

Pawl latch mechanism design and control for load/unload technology

2005 ◽  
Vol 11 (8-10) ◽  
pp. 747-750 ◽  
Author(s):  
J. Chang ◽  
R. Monajemy ◽  
T. Pham ◽  
D. Baral ◽  
Y. Byun
Keyword(s):  
Mechanism Design ◽  
And Control

Mechanism Design and Manipulating Algorithm for Orientation Changing Module with Three Flexible Links

2014 ◽  
Vol 619 ◽  
pp. 195-199
Author(s):  
Jong Gu Park ◽  
Byung Jo Lee ◽  
Woong Hee Cho ◽  
Kevin G. Gim ◽  
Hyun Seok Yang
Keyword(s):  
Mechanism Design ◽  
Control Algorithm ◽  
Flexible Links ◽  
Helical Springs ◽  
Ellipse Model ◽  
And Control

This paper presents mechanism and control algorithm for inch worm type in-pipe robot using three helical springs. Control algorithm is based on experiment result and length of three spring are derived from desired position of top module. A feasibility of proposed mechanism is verified by comparing between ellipse model and position of top module, and it shows that proposed mechanism can steer properly.

Mechatronic Redesign of Slider Crank Mechanism

2002 ◽  
Author(s):  
Abhijit Nagchaudhrui
Keyword(s):  
Mechanism Design ◽  
Soft Computing ◽  
Feasibility Study ◽  
Mechanical Design ◽  
Two Dimensional ◽  
Performance Levels ◽  
Hardware Realization ◽  
And Performance ◽  
And Control ◽  
Crank Mechanism

Mechatronic design efforts have been and continue to be heavily investigated in the development of robotic manipulator arms. However, little effort has been devoted to mechatronic redesign of traditional two-dimensional mechanisms which mechanical engineers get exposure to when they study subjects such as kinematics and mechanism design. In this paper a feasibility study for controlling the motion of the popular slider crank mechanism with appropriate sensing and actuation is elaborated. The results indicate that a variety of motion profiles can be derived from the same mechanism without involving any mechanical redesign. Many of the control approaches that have been heavily investigated in the field of robotics are readily applicable to such mechanisms. The synergistic combination of mechanical design, soft computing, sensing, instrumentation, and control is likely to bring about unprecedented versatility and performance levels in the hardware realization of machines based on these mechanisms.

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