110 A Study on The system Design of The robot arm for electric wheelchairs

2010 ◽  
Vol 2010.59 (0) ◽  
pp. 21-22
Author(s):  
Hiroyuki Kasahara ◽  
Nobuya Kamezawa ◽  
Jianming Yang
Keyword(s):  
System Design ◽  
Robot Arm

In-Box Picking System Design for Six-Axis Robot Arm

2021 ◽  
Author(s):  
Ching-Chang Wong ◽  
Ren-Jie Chen ◽  
Sheng-Kai Yang ◽  
Shao-Yu Chien ◽  
Shang-Wen Wong ◽  
...  
Keyword(s):  
System Design ◽  
Robot Arm ◽  
Picking System

Dynamic Models for Control System Design of Integrated Robot and Drive Systems

1985 ◽  
Vol 107 (1) ◽  
pp. 53-59 ◽  
Author(s):  
M. C. Good ◽  
L. M. Sweet ◽  
K. L. Strobel
Keyword(s):  
Experimental Data ◽  
Control System ◽  
System Design ◽  
High Performance ◽  
Dynamic Models ◽  
Industrial Robots ◽  
Analytical Models ◽  
Control System Design ◽  
Robot Arm ◽  
Drive Systems

The design of high performance motion controls for industrial robots is based on accurate models for the robot arm and drive systems. This paper presents analytical models and experimental data to show that interactions between electromechanical drives coupled with compliant linkages to arm link drive points are of fundamental importance to robot control system design. Flexibility in harmonic drives produces resonances in the 5 Hz to 8 Hz range. Flexibility in the robot linkages and joints connecting essentially rigid arm members produces higher frequency modes at 14 Hz and 40 Hz. The nonlinear characteristics of the drive system are modeled, and compared to experimental data. The models presented have been validated over the frequency range 0 to 50 Hz. The paper concludes with a brief discussion of the influence of model characteristics on motion control design.

scholarly journals Wireless Gesture Controlled Semi-Humanoid Robot

2016 ◽  
Vol 5 (4) ◽  
pp. 237
Author(s):  
Toshika Fegade ◽  
Yogesh Kurle ◽  
Sagar Nikale ◽  
Praful Kalpund
Keyword(s):  
System Design ◽  
Mobile Phones ◽  
High Speed ◽  
Humanoid Robot ◽  
Robotic Arm ◽  
Motion Sensors ◽  
Robot Arm ◽  
Change Perception ◽  
Human Arm ◽  
Perception Of Action

<p>Robotics is a field concerned with the “intelligent connection of perception of action”. The most common manufacturing robot is the robotic arm with different degree of freedoms. Today, these humanoids perform many functions to assist humans in different undertakings such as space missions, driving and monitoring high speed vehicles. They are called semi-humanoids because they resemble to upper part of human body.</p><p>        The idea of this paper is to change perception of controlling robotic arm. This paper provides a way to get rid of old fashioned remote controls and gives an intuitive technique for implementation of Semi-Humanoid Gesture controlled robot. It includes two robot arms which are exactly similar to human arm (5 fingers) increasing sensitivity of the system. It includes motion sensors -flex and accelerometer (used in mobile phones for tilting motion). The system design is divided into 3 parts namely: Robotic Arm, Real time video and Platform.</p>        The prime aim of the design is that the robot arm and platform starts the movement as soon as the operator makes hand and leg gesture. The Robotic arm is synchronized with the gestures (hand postures) of the operator and the platform part is controlled by the leg gestures of the operator.  The robot and the Gesture device are connected wireless via RF. The wireless communication enables user to interact with the robot in an effortless way.

AN INTRODUCTION TO AN EGOCENTRIC CONCEPT OF MACHINE INTELLIGENCE

1999 ◽  
Vol 08 (03) ◽  
pp. 313-336 ◽  
Author(s):  
RUDOLPH PIENNAR ◽  
JOHAN J. KRUGER
Keyword(s):  
System Design ◽  
Intelligent Systems ◽  
Intelligent System ◽  
Physical Nature ◽  
Machine Intelligence ◽  
Robot Arm ◽  
Fundamental Building Block ◽  
Robot Arm Control ◽  
And Behavior ◽  
Physiological Research

Intimate to the functioning and behavior of intelligent systems is the manner in which information is represented internally. The conventional approach to intelligent system design assumes a particular bias in the manner by which this information is represented. Typically, this is characterized by an "abstract" or "objective" design methodology which holds that intelligence is not a function of the physical nature of the system. Such an approach suffers from several shortcomings, most notably problems relating to scaling and complexity. Recent physiological research, however, has demonstrated that physical bodily form is a fundamental building block in the organization of mammalian cortical structures. Consequently, this article explores such a biologically motivated "subjective" or "egocentric" approach to system design, and demonstrates its utility in a simple robot arm control problem.

System Design: What, Why, and How

1993 ◽  
Vol 38 (1) ◽  
pp. 101-102
Author(s):  
Charles G. Halcomb
Keyword(s):  
System Design
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