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Bhaumik, Subhasis
- Some Aspects of Parallel Manipulator for Machining Applications
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1 Mechatronics & Robotics Laboratory, Department of Applied Mechanics, Bengal Engineering College (Deemed University), Howrah - 711 103, IN
1 Mechatronics & Robotics Laboratory, Department of Applied Mechanics, Bengal Engineering College (Deemed University), Howrah - 711 103, IN
Source
Manufacturing Technology Today, Vol 4, No 5 (2005), Pagination: 7-11Abstract
The paper depicts the justification, design simulation and control of a lightweight parallel manipulator for performing varieties of operations mainly machining operation. The motor actuated parallel robot can be put to perform task like milling, drilling and other machining operation as well as it can be used as an ideal table for contour milling, angular drilling. The stepper motor controlled parallel manipulator is designed on the basis of rigidity over a specified work volume. Forward and inverse kinematics and acceleration analysis of the Stewart Platform has been carried out. Two performance criteria like mechanism workspace and manipulability have been studied. The major design goals of providing flexibility, a substantial work envelop, the required six degrees of freedom, light weight, low cost, portability and easy to use to create profiles on contoured surfaces have been achieved through simulation.- Vision Controlled Mobile Manipulator
Abstract Views :180 |
PDF Views:0
Authors
Affiliations
1 Robotics & Mechatronics Laboratory, Department of Applied Mechanics, Bengal Engineering College (Deemed University), Howrah-711103, West Bengal, IN
1 Robotics & Mechatronics Laboratory, Department of Applied Mechanics, Bengal Engineering College (Deemed University), Howrah-711103, West Bengal, IN
Source
Manufacturing Technology Today, Vol 3, No 5 (2004), Pagination: 12-16Abstract
Vision technology for robotics has broadened the capabilities of robotic vision system to allow for vision based guidance of the robot arm, complex inspection for close dimensional tolerances, and improved recognition and part location capabilities. The objective of the present work is to develop logic and enhance user friendly programmability for pattern recognition and feature extraction of the objects for manipulative task and design and development of a low cost stepper motor controlled manipulator for pick and place operation. A PC based general purpose image processing system has been employed for pattern matching, alignment, gauging, blob analysis, inspection, identification, object location, object recognition and feature extraction purposes. The mobile manipulator has been designed and fabricated for using in material handling application. The robot links are moved by the individual stepper motors which are placed at every joint for link rotation and also tool pitch and toot roll. The pulses are sent to stepper motors through a PC based controller. The jobs are moving on a belt conveyer whose speed is controlled through DC motors.- EEG Based Human Brain Controlled Robotic Vehicle
Abstract Views :336 |
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Authors
Affiliations
1 lndian Institute of Engineering Science and Technology, Shibpur, Howrah, West Bengal - 711103, IN
2 Central Institute of Technology, Kokrajhar, Assam - 783370, IN
1 lndian Institute of Engineering Science and Technology, Shibpur, Howrah, West Bengal - 711103, IN
2 Central Institute of Technology, Kokrajhar, Assam - 783370, IN
Source
Journal of the Association of Engineers, India, Vol 89, No 3-4 (2019), Pagination: 17-25Abstract
Assistive robotic technology has gained a lot of attention among many other research fields of robotics nowadays. The main motto of this method is to help the various disabled people to their day to day activity by utilizing a sort of artificial robotic medium. In this paper a robotic vehicle is designed and controlled by taking the command signal from the user’s brain using BCI technology. The EEG signal has been captured by using a single channel sensor viz. Neurosky Mindwave Headset. The Arduino microcontroller is used to control the motion of a three wheel robotic vehicle by taking the commands from the sensor via Bluetooth technology. Direction of the movement of the vehicle can easily be maintained by simply the user’s attention level according to his choice.Keywords
BCI Technology, EEG, Robotic Vehicle, Neurosky Mindwave Headset.References
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- Kannan, V. R. and Joseph, K.O., Brain Controlled Mobile Robot Using Brain Wave Sensor, IOSR Journal of VLSI and Signal Processing, pp.77-82, 2016.
- Bi, L., Fan X. and Liu, Y., EEG-Based Brain-Controlled Mobile Robots: A Survey, IEEE Transactions on Human-Machine Systems, Vol. 43, No. 2, pp.161-176, 2013.
- http://neurosky.com/biosensors/eeg-sensor/biosensors/.