Multi-Robot Systems, Trends and Development T Yasuda, K Ohkura Development, 2011 | 31 | 2011 |
MBEANN: Mutation-based evolving artificial neural networks K Ohkura, T Yasuda, Y Kawamatsu, Y Matsumura, K Ueda Advances in Artificial Life: 9th European Conference, ECAL 2007, Lisbon …, 2007 | 29 | 2007 |
A homogeneous mobile robot team that is fault-tolerant T Yasuda, K Ohkura, K Ueda Advanced Engineering Informatics 20 (3), 301-311, 2006 | 29 | 2006 |
Accelerating steady-state genetic algorithms based on CUDA architecture M Oiso, T Yasuda, K Ohkura, Y Matumura 2011 IEEE Congress of Evolutionary Computation (CEC), 687-692, 2011 | 28 | 2011 |
Extended pso with partial randomization for large scale multimodal problems T Yasuda, Y Matsumura, K Ohkura 2010 World Automation Congress, 1-6, 2010 | 27 | 2010 |
IMPLEMENTING GENETIC ALGORITHMS TO CUDA ENVIRONMENT USING DATA PARALLELIZATION M Oiso, Y Matsumura, T Yasuda, K Ohkura Technical Gazette 18 (4), 511-517, 2011 | 26 | 2011 |
A self adaptive hybrid enhanced artificial bee colony algorithm for continuous optimization problems H Shan, T Yasuda, K Ohkura BioSystems 132, 43-53, 2015 | 24 | 2015 |
Autonomous role assignment in homogeneous multi-robot systems T Yasuda Journal of Robotics and Mechatronics 17 (5), 596-604, 2005 | 24 | 2005 |
Collective behavior acquisition of real robotic swarms using deep reinforcement learning T Yasuda, K Ohkura 2018 second IEEE international conference on robotic computing (IRC), 179-180, 2018 | 22 | 2018 |
A self adaptive hybrid enhanced artificial bee colony algorithm for continuous optimization problems H Shan, T Yasuda, K Ohkura BioSystems 132, 43-53, 2015 | 22 | 2015 |
Self-organized flocking of a mobile robot swarm by topological distance-based interactions T Yasuda, A Adachi, K Ohkura 2014 IEEE/SICE International Symposium on System Integration, 106-111, 2014 | 16 | 2014 |
Response threshold-based task allocation in a reinforcement learning robotic swarm T Yasuda, K Kage, K Ohkura 2014 IEEE 7th International Workshop on Computational Intelligence and …, 2014 | 16 | 2014 |
Development of robot navigation method based on single camera vision using deep learning KMI Khalilullah, S Ota, T Yasuda, M Jindai 2017 56th annual conference of the society of instrument and control …, 2017 | 15 | 2017 |
An evolutionary approach to sudoku puzzles with filtered mutations Z Wang, T Yasuda, K Ohkura 2015 IEEE Congress on Evolutionary Computation (CEC), 1732-1737, 2015 | 15 | 2015 |
A Reinforcement Learning Technique with an Adaptive Action Generator for a Multi-robot System T Yasuda, K Ohkura From Animals to Animats 10, 250-259, 2008 | 15 | 2008 |
Road area detection method based on DBNN for robot navigation using single camera in outdoor environments KMI Khalilullah, S Ota, T Yasuda, M Jindai Industrial Robot: An International Journal 45 (2), 275-286, 2018 | 12 | 2018 |
Evolving autonomous specialization in congested path formation task of robotic swarms M Hiraga, Y Wei, T Yasuda, K Ohkura Artificial Life and Robotics 23, 547-554, 2018 | 11 | 2018 |
An incremental approach to an evolutionary robotic swarm T Kadota, T Yasuda, Y Matsumura, K Ohkura System Integration (SII), 2012 IEEE/SICE International Symposium on, 458-463, 2012 | 11 | 2012 |
Analyzing macroscopic behavior in a swarm robotic system based on clustering K Ohkura, T Yasuda, Y Matsumura SICE Annual Conference 2011, 356-361, 2011 | 11 | 2011 |
Adaptive role assignment for self-organized flocking of a real robotic swarm Y Toshiyuki, S Nakatani, A Adachi, M Kadota, K Ohkura Artificial Life and Robotics 21, 405-410, 2016 | 10 | 2016 |