184 related articles for article (PubMed ID: 34272382)
1. Empirical assessment and comparison of neuro-evolutionary methods for the automatic off-line design of robot swarms.
Hasselmann K; Ligot A; Ruddick J; Birattari M
Nat Commun; 2021 Jul; 12(1):4345. PubMed ID: 34272382
[TBL] [Abstract][Full Text] [Related]
2. On Using Simulation to Predict the Performance of Robot Swarms.
Ligot A; Birattari M
Sci Data; 2022 Dec; 9(1):788. PubMed ID: 36581617
[TBL] [Abstract][Full Text] [Related]
3. Automatic Off-Line Design of Robot Swarms: A Manifesto.
Birattari M; Ligot A; Bozhinoski D; Brambilla M; Francesca G; Garattoni L; Garzón Ramos D; Hasselmann K; Kegeleirs M; Kuckling J; Pagnozzi F; Roli A; Salman M; Stützle T
Front Robot AI; 2019; 6():59. PubMed ID: 33501074
[TBL] [Abstract][Full Text] [Related]
4. Recent trends in robot learning and evolution for swarm robotics.
Kuckling J
Front Robot AI; 2023; 10():1134841. PubMed ID: 37168882
[TBL] [Abstract][Full Text] [Related]
5. Iterative improvement in the automatic modular design of robot swarms.
Kuckling J; Stützle T; Birattari M
PeerJ Comput Sci; 2020; 6():e322. PubMed ID: 33816972
[TBL] [Abstract][Full Text] [Related]
6. Modular automatic design of collective behaviors for robots endowed with local communication capabilities.
Hasselmann K; Birattari M
PeerJ Comput Sci; 2020; 6():e291. PubMed ID: 33816942
[TBL] [Abstract][Full Text] [Related]
7. Automatic modular design of robot swarms using behavior trees as a control architecture.
Ligot A; Kuckling J; Bozhinoski D; Birattari M
PeerJ Comput Sci; 2020; 6():e314. PubMed ID: 33816965
[TBL] [Abstract][Full Text] [Related]
8. Concurrent design of control software and configuration of hardware for robot swarms under economic constraints.
Salman M; Ligot A; Birattari M
PeerJ Comput Sci; 2019; 5():e221. PubMed ID: 33816874
[TBL] [Abstract][Full Text] [Related]
9. Evolution of Collective Behaviors for a Real Swarm of Aquatic Surface Robots.
Duarte M; Costa V; Gomes J; Rodrigues T; Silva F; Oliveira SM; Christensen AL
PLoS One; 2016; 11(3):e0151834. PubMed ID: 26999614
[TBL] [Abstract][Full Text] [Related]
10. Generic, scalable and decentralized fault detection for robot swarms.
Tarapore D; Christensen AL; Timmis J
PLoS One; 2017; 12(8):e0182058. PubMed ID: 28806756
[TBL] [Abstract][Full Text] [Related]
11. Language Evolution in Swarm Robotics: A Perspective.
Cambier N; Miletitch R; Frémont V; Dorigo M; Ferrante E; Trianni V
Front Robot AI; 2020; 7():12. PubMed ID: 33501181
[TBL] [Abstract][Full Text] [Related]
12. Blockchain Technology Secures Robot Swarms: A Comparison of Consensus Protocols and Their Resilience to Byzantine Robots.
Strobel V; Castelló Ferrer E; Dorigo M
Front Robot AI; 2020; 7():54. PubMed ID: 33501222
[TBL] [Abstract][Full Text] [Related]
13. Mean-shift exploration in shape assembly of robot swarms.
Sun G; Zhou R; Ma Z; Li Y; Groß R; Chen Z; Zhao S
Nat Commun; 2023 Jun; 14(1):3476. PubMed ID: 37311824
[TBL] [Abstract][Full Text] [Related]
14. Robot swarms neutralize harmful Byzantine robots using a blockchain-based token economy.
Strobel V; Pacheco A; Dorigo M
Sci Robot; 2023 Jun; 8(79):eabm4636. PubMed ID: 37379373
[TBL] [Abstract][Full Text] [Related]
15. EMERGE Modular Robot: A Tool for Fast Deployment of Evolved Robots.
Moreno R; Faiña A
Front Robot AI; 2021; 8():699814. PubMed ID: 34291092
[TBL] [Abstract][Full Text] [Related]
16. Sparse Robot Swarms: Moving Swarms to Real-World Applications.
Tarapore D; Groß R; Zauner KP
Front Robot AI; 2020; 7():83. PubMed ID: 33501250
[TBL] [Abstract][Full Text] [Related]
17. Automating the Incremental Evolution of Controllers for Physical Robots.
Faíña A; Jacobsen LT; Risi S
Artif Life; 2017; 23(2):142-168. PubMed ID: 28513203
[TBL] [Abstract][Full Text] [Related]
18. When less is more: Robot swarms adapt better to changes with constrained communication.
Talamali MS; Saha A; Marshall JAR; Reina A
Sci Robot; 2021 Jul; 6(56):. PubMed ID: 34321345
[TBL] [Abstract][Full Text] [Related]
19. Physical Scaffolding Accelerates the Evolution of Robot Behavior.
Buckingham D; Bongard J
Artif Life; 2017; 23(3):351-373. PubMed ID: 28786727
[TBL] [Abstract][Full Text] [Related]
20. Control of a manipulator robot by neuro-fuzzy subsets form approach control optimized by the genetic algorithms.
Refoufi S; Benmahammed K
ISA Trans; 2018 Jun; 77():133-145. PubMed ID: 29661551
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
