Zobrazeno 1 - 10
of 204
pro vyhledávání: '"Ales Ude"'
Autor:
Miha Denisa, Ales Ude
Publikováno v:
IEEE Access, Vol 12, Pp 124871-124888 (2024)
In contemporary manufacturing settings, adaptability and human-robot cooperation are crucial to addressing the challenges of high-mix, low-volume production. This paper presents a novel methodology to improve workcell ergonomics by optimally placing
Externí odkaz:
https://doaj.org/article/78df7965588a4a4fa70f4d1164abcad2
Publikováno v:
IEEE Access, Vol 12, Pp 93899-93910 (2024)
At the end of a production process, the manufactured products must usually be visually inspected to ensure their quality. Often, it is necessary to inspect the final product from several viewpoints. However, the inspection of all possible aspects mig
Externí odkaz:
https://doaj.org/article/678e32dc14c34d45ae86f0e4cc4e9e79
Autor:
Matija Mavsar, Ales Ude
Publikováno v:
2022 IEEE-RAS 21st International Conference on Humanoid Robots (Humanoids).
Publikováno v:
2022 IEEE-RAS 21st International Conference on Humanoid Robots (Humanoids).
Publikováno v:
Journal of Manufacturing Systems
The distinguishing property of Reconfigurable Manufacturing Systems (RMS) is that they can rapidly and efficiently adapt to new production requirements, both in terms of their capacity and functionalities. For this type of systems to achieve the desi
Publikováno v:
IEEE transactions on neural networks and learning systems.
Recent advances in deep neural networks have opened up new possibilities for visuomotor robot learning. In the context of human-robot or robot-robot collaboration, such networks can be trained to predict future poses and this information can be used
Publikováno v:
IEEE Robotics and Automation Letters. 6:255-262
The choice of an appropriate representation is important when reconstructing motion from images. In this letter we propose a new type of deep neural network (DNN) that maps images to spatial paths represented by a recently introduced motion represent
Publikováno v:
2022 IEEE/SICE International Symposium on System Integration (SII).
Autor:
Asad Tirmizi, Morteza Dianatfar, Minna Lanz, Roel Pieters, Tomi Pitkaaho, Tero Kaarlela, Sakari Pieska, Niki Kousi, Adamantia Zoga, Veikko Valjus, Miha Denisa, Ales Ude
Publikováno v:
2021 20th International Conference on Advanced Robotics (ICAR).
Any technical development done in the context of agile manufacturing has limited benefit if it's not industrially utilized. This requires maturing the developed technologies to a point that they are robust enough to provide a productivity boost, whil
Publikováno v:
2021 20th International Conference on Advanced Robotics (ICAR).