Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Nygaard, Tønnes Frostad"'
Real-valued genotypes together with the variation operators, mutation and crossover, constitute some of the fundamental building blocks of Evolutionary Algorithms. Real-valued genotypes are utilized in a broad range of contexts, from weights in Artif
Externí odkaz:
http://arxiv.org/abs/2005.09380
The complexity of a legged robot's environment or task can inform how specialised its gait must be to ensure success. Evolving specialised robotic gaits demands many evaluations - acceptable for computer simulations, but not for physical robots. For
Externí odkaz:
http://arxiv.org/abs/1902.04403
Publikováno v:
Nordmoen, Jørgen Nygaard, Tønnes Frostad Samuelsen, Eivind Glette, Kyrre . On Restricting Real-Valued Genotypes in Evolutionary Algorithms. Applications of Evolutionary Computation. 2021, 3-16 Springer
Externí odkaz:
http://hdl.handle.net/10852/91062
https://www.duo.uio.no/bitstream/handle/10852/91062/1/nordmoen-evoapps2021.pdf
https://www.duo.uio.no/bitstream/handle/10852/91062/1/nordmoen-evoapps2021.pdf
Publikováno v:
Nordmoen, Jørgen Halvorsen Nygaard, Tønnes Frostad Ellefsen, Kai Olav Glette, Kyrre . Evolved embodied phase coordination enables robust quadruped robot locomotion. GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference. 2019 Association for Computing Machinery (ACM)
Externí odkaz:
http://hdl.handle.net/10852/74778
https://www.duo.uio.no/bitstream/handle/10852/74778/2/nordmoen-gecco2019.pdf
https://www.duo.uio.no/bitstream/handle/10852/74778/2/nordmoen-gecco2019.pdf
Autor:
Nygaard, Tønnes Frostad, Martin, Charles Patrick, Samuelsen, Eivind, Tørresen, Jim, Glette, Kyrre
Publikováno v:
Nygaard, Tønnes Frostad Martin, Charles Patrick Samuelsen, Eivind Tørresen, Jim Glette, Kyrre . Real-world evolution adapts robot morphology and control to hardware limitations. GECCO '18: Proceedings of the Genetic and Evolutionary Computation Conference. 2018, 125-132 ACM Digital Library
Externí odkaz:
http://hdl.handle.net/10852/65913
https://www.duo.uio.no/bitstream/handle/10852/65913/2/tonnesfn_2018_GECCO_author.pdf
https://www.duo.uio.no/bitstream/handle/10852/65913/2/tonnesfn_2018_GECCO_author.pdf
Autor:
Nygaard, Tønnes Frostad, Glette, Kyrre
Publikováno v:
Nygaard, Tønnes Frostad Glette, Kyrre . Benefits and Challenges of Morphological Adaptation in Real-world Robots. IOP Conference Series: Materials Science and Engineering. 2022
IOP Conference Series: Materials Science and Engineering
IOP Conference Series: Materials Science and Engineering
Externí odkaz:
http://hdl.handle.net/10852/99826
Autor:
Nygaard, Tønnes Frostad
Publikováno v:
Nygaard, Tønnes Frostad. Evolutionary optimization of robot morphology and control - Using evolutionary algorithms in the design of a six legged robotic platform. Master thesis, University of Oslo, 2014
Externí odkaz:
http://hdl.handle.net/10852/42128
https://www.duo.uio.no/bitstream/handle/10852/42128/1/nygaard_master.pdf
https://www.duo.uio.no/bitstream/handle/10852/42128/1/nygaard_master.pdf
Publikováno v:
Nygaard, Tønnes Frostad Martin, Charles Patrick Tørresen, Jim Glette, Kyrre . Self-Modifying Morphology Experiments with DyRET: Dynamic Robot for Embodied Testing. IEEE International Conference on Robotics and Automation. 2019
IEEE International Conference on Robotics and Automation
IEEE International Conference on Robotics and Automation
Externí odkaz:
http://hdl.handle.net/10852/70590
https://www.duo.uio.no/bitstream/handle/10852/70590/1/nygaard-icra2019.pdf
https://www.duo.uio.no/bitstream/handle/10852/70590/1/nygaard-icra2019.pdf
Publikováno v:
Nygaard, Tønnes Frostad Samuelsen, Eivind Glette, Kyrre . Overcoming initial convergence in multi-objective evolution of robot control and morphology using a two-phase approach. Lecture Notes in Computer Science. 2017, 10199 LNCS(Part I), 825-836
Lecture Notes in Computer Science
Part I
Lecture Notes in Computer Science
Part I
Externí odkaz:
http://hdl.handle.net/10852/62862
https://www.duo.uio.no/bitstream/handle/10852/62862/2/nygaard-evorobot2017.pdf
https://www.duo.uio.no/bitstream/handle/10852/62862/2/nygaard-evorobot2017.pdf