Zobrazeno 1 - 10
of 119
pro vyhledávání: '"Anders Lyhne Christensen"'
Publikováno v:
IEEE Access, Vol 11, Pp 65834-65848 (2023)
A large number of methods for anomaly detection in robotic manipulation have been proposed, but their applicability and performance in real-world scenarios are often not established. In this paper, we therefore perform an experimental comparison of a
Externí odkaz:
https://doaj.org/article/efcdfb95e4a7493ab4d43582cad29375
Publikováno v:
Inteligencia Artificial, Vol 22, Iss 64 (2020)
In evolutionary robotics role allocation studies, it is common that the role assumed by each robot is strongly associated with specific local conditions, which may compromise scalability and robustness because of the dependency on those conditions. T
Externí odkaz:
https://doaj.org/article/b26ed35bbb7f4152aaa04c7c25fb8208
Publikováno v:
Nature Communications, Vol 8, Iss 1, Pp 1-7 (2017)
Robots that can self-assemble into different morphologies are desired to perform tasks that require different physical capabilities. Mathews et al. design robots whose bodies and control systems can merge and split to form new robots that retain full
Externí odkaz:
https://doaj.org/article/8dc35ed7611540a2a7e54015a273b94a
Publikováno v:
PLoS ONE, Vol 14, Iss 10, p e0224376 (2019)
In large scale systems of embodied agents, such as robot swarms, the ability to flock is essential in many tasks. However, the conditions necessary to artificially evolve self-organised flocking behaviours remain unknown. In this paper, we study and
Externí odkaz:
https://doaj.org/article/f7d5d11502054cad958e7267db1af1f3
Publikováno v:
PLoS ONE, Vol 12, Iss 8, p e0182058 (2017)
Robot swarms are large-scale multirobot systems with decentralized control which means that each robot acts based only on local perception and on local coordination with neighboring robots. The decentralized approach to control confers number of pote
Externí odkaz:
https://doaj.org/article/620cd26703124d9c8fee61a05b2c4a1c
Publikováno v:
Royal Society Open Science, Vol 4, Iss 7 (2017)
Online evolution of behavioural control on real robots is an open-ended approach to autonomous learning and adaptation: robots have the potential to automatically learn new tasks and to adapt to changes in environmental conditions, or to failures in
Externí odkaz:
https://doaj.org/article/19fa3869238f4fcd95b1daf84f7ee776
Autor:
Miguel Duarte, Vasco Costa, Jorge Gomes, Tiago Rodrigues, Fernando Silva, Sancho Moura Oliveira, Anders Lyhne Christensen
Publikováno v:
PLoS ONE, Vol 11, Iss 3, p e0151834 (2016)
Swarm robotics is a promising approach for the coordination of large numbers of robots. While previous studies have shown that evolutionary robotics techniques can be applied to obtain robust and efficient self-organized behaviors for robot swarms, m
Externí odkaz:
https://doaj.org/article/5d54d1a48de042b392bafbf045106275
Publikováno v:
Nature Communications, Vol 8, Iss 1, Pp 1-1 (2017)
The original version of this Article contained an error in the author contributions section, whereby credit for design of the experiments was not attributed to N.M. This error has now been corrected in both the PDF and HTML versions of the Article.
Externí odkaz:
https://doaj.org/article/35e5151110d84d55a019754701ee97ef
See abstract and datasets [10.5281/zenodo.5849300] There exist a large number of methods that can be used for anomaly detection/fault detection in collaborative robots. However, studies on these methods tend to only focus on a single or a couple of s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39c93acdbe152323741952c466269446
https://doi.org/10.36227/techrxiv.19006643.v2
https://doi.org/10.36227/techrxiv.19006643.v2
Publikováno v:
Robotics and Computer-Integrated Manufacturing. 81:102514