Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Ruchi Panwar"'
Autor:
Seema Duhan, Ruchi Panwar
Publikováno v:
International Journal of Mathematical, Engineering and Management Sciences, Vol 9, Iss 4, Pp 865-880 (2024)
The study introduces a stable walking pattern for a biped robot by employing a semi-supervised artificial neural network (ANN) to generate trajectories with a focus on reducing potential damage from small objects that are identified by Yolov5 algorit
Externí odkaz:
https://doaj.org/article/ced3cce104c647adb17865cf49226248
Autor:
Ruchi Panwar, Nagarajan Sukavanam
Publikováno v:
Neural Computing and Applications. 32:2601-2619
This paper presents a trajectory generation algorithm for robots which can walk like human with movable foot and active toe. The proposed algorithm allows smooth transition between walking phases namely, single and double support phases. A neural net
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df00f001a6572fee63119b24638fd6fd
https://doi.org/10.1007/s00521-018-3842-1
https://doi.org/10.1007/s00521-018-3842-1
Publikováno v:
2019 IEEE Conference on Information and Communication Technology.
A novel unsupervised approach for inverse kinematics solution of a manipulator using artificial neural network is presented. Forward kinematics equations determine the motion of manipulator's arm and have a unique solution. But there is not a unique
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9080b2d0cdecfb7b8d5b48649e35d25
https://doi.org/10.1109/cict48419.2019.9066197
https://doi.org/10.1109/cict48419.2019.9066197
Autor:
Nagarajan Sukavanam, Ruchi Panwar
Publikováno v:
2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON).
This paper presents a trajectory generation algorithm for human like walk of a biped robot with movable foot and active toe. A neural network approach is used for solving inverse kinematics so that the biped follows the ankle and hip trajectory in pl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7826e6c3f59f0fd8bca1189545713b08
https://doi.org/10.1109/upcon.2017.8251078
https://doi.org/10.1109/upcon.2017.8251078
Autor:
Panwar, Ruchi1 (AUTHOR) rinkadma@iitr.ac.in, Sukavanam, N.1 (AUTHOR)
Publikováno v:
Neural Computing & Applications. Apr2020, Vol. 32 Issue 7, p2601-2619. 19p.
This book provides essential insights into a range of newly developed numerical optimization techniques with a view to solving real-world problems. Many of these problems can be modeled as nonlinear optimization problems, but due to their complex nat
