Items where Author is "Latif, Mohd Juzaila Abd"

Group by: Item Type | Uncontrolled Keywords | No Grouping

digital robotics digital twin firebase kinematics robot human interactions ROS Unity 3D

Number of items: 7.

digital robotics

Tran, Tuan Anh, Nguyen, Thanh Tan, Dinh, Than Le, Le, Chi Hieu ORCID: 0000-0002-5168-2297 , Mahmud, Jamaluddin, Latif, Mohd Juzaila Abd and Nguyen, Ho Quang (2023) Digital twins of robotic systems: increasing capability for industrial applications. In: Nguyen, Thi Dieu Linh and Lu, Joan, (eds.) Machine Learning and Mechanics Based Soft Computing Applications. Studies in Computational Intelligence (SCI), 1068 . Springer, Singapore, pp. 241-258. ISBN 978-9811964497; 978-9811964503 (doi:https://doi.org/10.1007/978-981-19-6450-3_23)

digital twin

Tran, Tuan Anh, Nguyen, Thanh Tan, Dinh, Than Le, Le, Chi Hieu ORCID: 0000-0002-5168-2297 , Mahmud, Jamaluddin, Latif, Mohd Juzaila Abd and Nguyen, Ho Quang (2023) Digital twins of robotic systems: increasing capability for industrial applications. In: Nguyen, Thi Dieu Linh and Lu, Joan, (eds.) Machine Learning and Mechanics Based Soft Computing Applications. Studies in Computational Intelligence (SCI), 1068 . Springer, Singapore, pp. 241-258. ISBN 978-9811964497; 978-9811964503 (doi:https://doi.org/10.1007/978-981-19-6450-3_23)

firebase

Tran, Tuan Anh, Nguyen, Thanh Tan, Dinh, Than Le, Le, Chi Hieu ORCID: 0000-0002-5168-2297 , Mahmud, Jamaluddin, Latif, Mohd Juzaila Abd and Nguyen, Ho Quang (2023) Digital twins of robotic systems: increasing capability for industrial applications. In: Nguyen, Thi Dieu Linh and Lu, Joan, (eds.) Machine Learning and Mechanics Based Soft Computing Applications. Studies in Computational Intelligence (SCI), 1068 . Springer, Singapore, pp. 241-258. ISBN 978-9811964497; 978-9811964503 (doi:https://doi.org/10.1007/978-981-19-6450-3_23)

kinematics

Tran, Tuan Anh, Nguyen, Thanh Tan, Dinh, Than Le, Le, Chi Hieu ORCID: 0000-0002-5168-2297 , Mahmud, Jamaluddin, Latif, Mohd Juzaila Abd and Nguyen, Ho Quang (2023) Digital twins of robotic systems: increasing capability for industrial applications. In: Nguyen, Thi Dieu Linh and Lu, Joan, (eds.) Machine Learning and Mechanics Based Soft Computing Applications. Studies in Computational Intelligence (SCI), 1068 . Springer, Singapore, pp. 241-258. ISBN 978-9811964497; 978-9811964503 (doi:https://doi.org/10.1007/978-981-19-6450-3_23)

robot human interactions

Tran, Tuan Anh, Nguyen, Thanh Tan, Dinh, Than Le, Le, Chi Hieu ORCID: 0000-0002-5168-2297 , Mahmud, Jamaluddin, Latif, Mohd Juzaila Abd and Nguyen, Ho Quang (2023) Digital twins of robotic systems: increasing capability for industrial applications. In: Nguyen, Thi Dieu Linh and Lu, Joan, (eds.) Machine Learning and Mechanics Based Soft Computing Applications. Studies in Computational Intelligence (SCI), 1068 . Springer, Singapore, pp. 241-258. ISBN 978-9811964497; 978-9811964503 (doi:https://doi.org/10.1007/978-981-19-6450-3_23)

ROS

Tran, Tuan Anh, Nguyen, Thanh Tan, Dinh, Than Le, Le, Chi Hieu ORCID: 0000-0002-5168-2297 , Mahmud, Jamaluddin, Latif, Mohd Juzaila Abd and Nguyen, Ho Quang (2023) Digital twins of robotic systems: increasing capability for industrial applications. In: Nguyen, Thi Dieu Linh and Lu, Joan, (eds.) Machine Learning and Mechanics Based Soft Computing Applications. Studies in Computational Intelligence (SCI), 1068 . Springer, Singapore, pp. 241-258. ISBN 978-9811964497; 978-9811964503 (doi:https://doi.org/10.1007/978-981-19-6450-3_23)

Unity 3D

Tran, Tuan Anh, Nguyen, Thanh Tan, Dinh, Than Le, Le, Chi Hieu ORCID: 0000-0002-5168-2297 , Mahmud, Jamaluddin, Latif, Mohd Juzaila Abd and Nguyen, Ho Quang (2023) Digital twins of robotic systems: increasing capability for industrial applications. In: Nguyen, Thi Dieu Linh and Lu, Joan, (eds.) Machine Learning and Mechanics Based Soft Computing Applications. Studies in Computational Intelligence (SCI), 1068 . Springer, Singapore, pp. 241-258. ISBN 978-9811964497; 978-9811964503 (doi:https://doi.org/10.1007/978-981-19-6450-3_23)

This list was generated on Mon Nov 25 03:10:49 2024 UTC.