Zobrazeno 1 - 10
of 149
pro vyhledávání: '"Ferat Sahin"'
Publikováno v:
Machines, Vol 12, Iss 10, p 706 (2024)
The integration of Augmented Reality (AR) into Human–Robot Interaction (HRI) represents a significant advancement in collaborative technologies. This paper provides a comprehensive review of AR applications within HRI with a focus on manufacturing,
Externí odkaz:
https://doaj.org/article/948f43ba27904385a0a74f8e8d0058a3
Autor:
Celal Savur, Ferat Sahin
Publikováno v:
Machines, Vol 11, Iss 5, p 536 (2023)
Human–robot collaboration has emerged as a prominent research topic in recent years. To enhance collaboration and ensure safety between humans and robots, researchers employ a variety of methods. One such method is physiological computing, which ai
Externí odkaz:
https://doaj.org/article/d272d1978b504900893b9c73e421f9c8
Publikováno v:
Sensors, Vol 22, Iss 16, p 6208 (2022)
We propose a dual-module robotic system to tackle the problem of generating and performing antipodal robotic grasps for unknown objects from the n-channel image of the scene. We present an improved version of the Generative Residual Convolutional Neu
Externí odkaz:
https://doaj.org/article/5690da89172744fd92417057085fdbae
Publikováno v:
Beilstein Journal of Nanotechnology, Vol 6, Iss 1, Pp 2015-2027 (2015)
A novel instrumentation approach to nanoindentation is described that exhibits improved resolution and depth sensing. The approach is based on a multi-probe scanning probe microscopy (SPM) tool that utilizes tuning-fork based probes for both indentat
Externí odkaz:
https://doaj.org/article/df898bba3d73473684f5845046e8f10d
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics: Systems. 51:280-297
Industrial robots working in isolation in a highly automated system are valued for their high productivity. The shortcomings of these pure robotic cells become more apparent when flexibility in production is required to respond to varying production
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c74e8e82ef00af5845de7b3a0527560
https://doi.org/10.1109/tsmc.2020.3041231
https://doi.org/10.1109/tsmc.2020.3041231
Publikováno v:
2022 17th Annual System of Systems Engineering Conference (SOSE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::645a0870853095d1d110ec6e68d8dfef
https://doi.org/10.1109/sose55472.2022.9812685
https://doi.org/10.1109/sose55472.2022.9812685
Publikováno v:
2022 17th Annual System of Systems Engineering Conference (SOSE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb6fcd8e77a2305e762c1c361b734611
https://doi.org/10.1109/sose55472.2022.9812680
https://doi.org/10.1109/sose55472.2022.9812680
Publikováno v:
2022 17th Annual System of Systems Engineering Conference (SOSE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e63f780881f386fc4fc25408568e83fa
https://doi.org/10.1109/sose55472.2022.9812679
https://doi.org/10.1109/sose55472.2022.9812679
Autor:
Ferat Sahin, Archana Devasia
Publikováno v:
Swarm Intelligence, Focus on Ant and Particle Swarm Optimization
Particle Swarm Optimization (PSO) was first introduced as a concept for a non-linear optimizer by Kennedy and Eberhart in 1995. Their seminal work articulates a technique of evolutionary computation, which has its origin in artificial intelligence an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::051fb5c6de65a9a8b189e874c0e5756b
http://www.intechopen.com/articles/show/title/distributed_particle_swarm_optimization_for_structural_bayesian_network_learning
http://www.intechopen.com/articles/show/title/distributed_particle_swarm_optimization_for_structural_bayesian_network_learning
Multi-step manipulation tasks in unstructured environments are extremely challenging for a robot to learn. Such tasks interlace high-level reasoning that consists of the expected states that can be attained to achieve an overall task and low-level re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1006d9d1f5e2bf8b67b0093d0df549f