Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Edgar Buchanan"'
Autor:
Edgar Buchanan, Léni K. Le Goff, Matthew F. Hale, Emma Hart, Agoston E. Eiben, Matteo De Carlo, Mike Angus, Robert Woolley, Jon Timmis, Alan F. Winfield, Andy M. Tyrrell
Publikováno v:
Robotics, Vol 13, Iss 11, p 157 (2024)
The discrepancy between simulated and hardware experiments, the reality gap, is a challenge in evolutionary robotics. While strategies have been proposed to address this gap in fixed-body robots, they are not viable when dealing with populations and
Externí odkaz:
https://doaj.org/article/13ad5a47c19e421689b7aa43413bf581
Autor:
Mike Angus, Edgar Buchanan, Léni K. Le Goff, Emma Hart, Agoston E. Eiben, Matteo De Carlo, Alan F. Winfield, Matthew F. Hale, Robert Woolley, Jon Timmis, Andy M. Tyrrell
Publikováno v:
Frontiers in Robotics and AI, Vol 10 (2023)
The evolutionary robotics field offers the possibility of autonomously generating robots that are adapted to desired tasks by iteratively optimising across successive generations of robots with varying configurations until a high-performing candidate
Externí odkaz:
https://doaj.org/article/36617c2d2b0a467ebd468ffc9b53cd15
Publikováno v:
Frontiers in Robotics and AI, Vol 9 (2023)
Often in swarm robotics, an assumption is made that all robots in the swarm behave the same and will have a similar (if not the same) error model. However, in reality, this is not the case, and this lack of uniformity in the error model, and other op
Externí odkaz:
https://doaj.org/article/d7e92699f7ec463086367394a64bba91
Autor:
Edgar Buchanan, Léni K. Le Goff, Wei Li, Emma Hart, Agoston E. Eiben, Matteo De Carlo, Alan F. Winfield, Matthew F. Hale, Robert Woolley, Mike Angus, Jon Timmis, Andy M. Tyrrell
Publikováno v:
Robotics, Vol 9, Iss 4, p 106 (2020)
A long-term vision of evolutionary robotics is a technology enabling the evolution of entire autonomous robotic ecosystems that live and work for long periods in challenging and dynamic environments without the need for direct human oversight. Evolut
Externí odkaz:
https://doaj.org/article/9961a98e4ce44fcb87bc8067e14e85cc
Autor:
Edgar Buchanan, Robert Woolley, Agoston E. Eiben, Léni K. Le Goff, Wei Li, Mike Angus, Matthew F. Hale, Alan F. T. Winfield, Andy M. Tyrrell, Jon Timmis, Matteo De Carlo, Emma Hart
Publikováno v:
SSCI
The long term goal of the Autonomous Robot Evolution (ARE) project is to create populations of physical robots, in which both the controllers and body plans are evolved. The transition of evolutionary designs from purely simulation environments into
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb5a8bc012417009b0bcbc855af0c54b
http://sure.sunderland.ac.uk/id/eprint/13892/1/ICES_Hardware_Design_for_Autonomous_Robot_Evolution.pdf
http://sure.sunderland.ac.uk/id/eprint/13892/1/ICES_Hardware_Design_for_Autonomous_Robot_Evolution.pdf
Autor:
Andy M. Tyrrell, Matthew F. Hale, Léni K. Le Goff, Robert Woolley, Edgar Buchanan, Mike Angus, Agoston E. Eiben, Wei Li, Alan F. T. Winfield, Emma Hart, Jon Timmis, Matteo De Carlo
Publikováno v:
SSCI
Advances in rapid prototyping have opened up new avenues of research within Evolutionary Robotics in which not only controllers but also the body plans (morphologies) of robots can evolve in real-time and real-space. However, this also introduces new
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f6749ea8c1c5fb0e9ad9102605f11dc
https://doi.org/10.1109/ssci47803.2020.9308434
https://doi.org/10.1109/ssci47803.2020.9308434
Autor:
Matthew F. Hale, Alan F. T. Winfield, Wei Li, Jon Timmis, Agoston E. Eiben, Emma Hart, Matteo De Carlo, Léni K. Le Goff, Mike Angus, Robert Woolley, Andy M. Tyrrell, Edgar Buchanan
Publikováno v:
The 2020 Conference on Artificial Life.
In evolutionary robot systems where morphologies and controllers of real robots are simultaneously evolved, it is clear that there is likely to be requirements to refine the inherited controller of a ‘newborn’ robot in order to better align it to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2dbeb5af642c04a7bf5665ba8455b8bc
https://doi.org/10.1162/isal_a_00299
https://doi.org/10.1162/isal_a_00299
Publikováno v:
GECCO (Companion)
GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion, 127-128
STARTPAGE=127;ENDPAGE=128;TITLE=GECCO '19
Veenstra, F, Hart, E, Buchanan, E, Li, W, De Carlo, M & Eiben, A E 2019, Comparing encodings for performance and phenotypic exploration in evolving modular robots . in GECCO '19 : Proceedings of the Genetic and Evolutionary Computation Conference Companion . Association for Computing Machinery, Inc, pp. 127-128, 2019 Genetic and Evolutionary Computation Conference, GECCO 2019, Prague, Czech Republic, 13/07/19 . https://doi.org/10.1145/3319619.3322054
GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion, 127-128
STARTPAGE=127;ENDPAGE=128;TITLE=GECCO '19
Veenstra, F, Hart, E, Buchanan, E, Li, W, De Carlo, M & Eiben, A E 2019, Comparing encodings for performance and phenotypic exploration in evolving modular robots . in GECCO '19 : Proceedings of the Genetic and Evolutionary Computation Conference Companion . Association for Computing Machinery, Inc, pp. 127-128, 2019 Genetic and Evolutionary Computation Conference, GECCO 2019, Prague, Czech Republic, 13/07/19 . https://doi.org/10.1145/3319619.3322054
To investigate how encodings influence evolving the morphology and control of modular robots, we compared three encodings: a direct encoding and two generative encodings-a compositional pattern producing network (CPPN) and a Lindenmayer System (L-Sys
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4d64ed20604b65dc2c2ebc5db393ca4
https://doi.org/10.1145/3319619.3322054
https://doi.org/10.1145/3319619.3322054
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319444260
ANTS Conference
ANTS Conference
Dead reckoning error is a common problem in robotics that can be caused by multiple factors related to sensors or actuators. These errors potentially cause landmarks recorded by a robot to appear in a different location with respect to the actual pos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07dcaf61bdb449ab1125f6a650eea80d
https://doi.org/10.1007/978-3-319-44427-7_10
https://doi.org/10.1007/978-3-319-44427-7_10