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pro vyhledávání: '"Megha G. Krishnan"'
Autor:
Megha G. Krishnan, Ashok Sankar
Publikováno v:
Automatika, Vol 63, Iss 2, Pp 199-215 (2022)
As vision is a versatile sensor, vision-based control of robot is becoming more important in industrial applications. The control signal generated using the traditional control algorithms leads to undesirable movement of the end-effector during the p
Externí odkaz:
https://doaj.org/article/258dfa11790748e887ee2de96a43fde9
Autor:
S. Ashok, Megha G Krishnan
Publikováno v:
Asian Journal of Control. 23:2311-2327
This paper investigates the performance of neural networks in positioning an industrial robot manipulator based on image feedback. Visual servoing regulates the pose of the robot manipulat...
Autor:
Megha G Krishnan, Ashok S
Publikováno v:
2022 IEEE Region 10 Symposium (TENSYMP).
Publikováno v:
Industrial Robot: the international journal of robotics research and application. 48:110-120
Purpose Real-time implementation of sophisticated algorithms on robotic systems demands a rewarding interface between hardware and software components. Individual robot manufacturers have dedicated controllers and languages. However, robot operation
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811679841
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db9b6c51b00a4232678c02bfe75079bd
https://doi.org/10.1007/978-981-16-7985-8_13
https://doi.org/10.1007/978-981-16-7985-8_13
Publikováno v:
Industrial Robot: the international journal of robotics research and application. 47:45-56
Purpose This paper aims to improve the performance of a two-camera robotic feedback system designed for automatic pick and place application by modifying its velocity profile during switching of control. Design/methodology/approach Cooperation of glo
Publikováno v:
2021 2nd International Conference on Advances in Computing, Communication, Embedded and Secure Systems (ACCESS).
Visual servoing is the method of controlling a robot using image input from one or more image sensors to complete a predefined task. This paper examines the effectiveness of a Recurrent Neural Network (RNN) to predict the position and orientation (po
Autor:
Megha G Krishnan, S. Ashok
Publikováno v:
TENCON
Robot kinematics deals with traits of redundancy, joint limitation, collision avoidance and singularity manifolds. Hence, kinematic analysis plays a vital role in the positioning task of a robot manipulator. This paper discusses the kinematic analysi
Autor:
S. Ashok, Megha G Krishnan
Publikováno v:
2018 International Conference on Control, Power, Communication and Computing Technologies (ICCPCCT).
Visual servoing is the most advanced topic in the field of robotics since the visual feedback provides the real time recognition of the environment. The main advantage that a controller should possess is the speed of operation especially controllers
Publikováno v:
2017 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES).
There are many industries which uses various industrial robots for their production tasks like painting, wielding etc. In the majority industries human and robots shares the same work environment which results chances of accidents between human and r