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Seongin Na
Seongin Na
PhD Candidate in Robotics, University of Manchester
Verified email at manchester.ac.uk
Title
Cited by
Cited by
Year
Bio-inspired artificial pheromone system for swarm robotics applications
S Na, Y Qiu, AE Turgut, J Ulrich, T Krajník, S Yue, B Lennox, F Arvin
Adaptive Behavior 29 (4), 395-415, 2021
462021
Bio-inspired collision avoidance in swarm systems via deep reinforcement learning
S Na, H Niu, B Lennox, F Arvin
IEEE Transactions on Vehicular Technology 71 (3), 2511-2526, 2022
342022
Extended artificial pheromone system for swarm robotic applications
S Na, M Raoufi, AE Turgut, T Krajník, F Arvin
Artificial life conference proceedings, 608-615, 2019
212019
Federated Reinforcement Learning for Collective Navigation of Robotic Swarms
S Na, T Rouček, J Ulrich, J Pikman, T s Krajník, B Lennox, F Arvin
IEEE Transactions on Cognitive and Developmental Systems, 2023
142023
Universal artificial pheromone framework with deep reinforcement learning for robotic systems
S Na, H Niu, B Lennox, F Arvin
2021 6th international conference on control and robotics engineering (ICCRE …, 2021
52021
Toward a Myriad Robot Swarm Aggregation
Z Kiszli, S Na, F Arvin
2022 7th International Conference on Control and Robotics Engineering (ICCRE …, 2022
12022
Deep Reinforcement Learning-Driven Automatic Controller Design for Swarm Robotics
S Na
University of Manchester, 2023
2023
Reinforcement learning-based aggregation for robot swarms
A Sadeghi Amjadi, C Bilaloğlu, AE Turgut, S Na, E Şahin, T Krajník, ...
Adaptive Behavior, 10597123231202593, 2023
2023
Federated Reinforcement Learning for Collective Navigation of Robotic Swarms
S Na, T Krajník, B Lennox, F Arvin
arXiv:2202.01141 [cs.RO], 2022
2022
Advection and Diffusion Effects Towards a Bio-inspired Artificial Pheromone System
S Na, M Raoufi, AE Turgut, T Krajnik, B Lennox, F Arvin
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019), 2019
2019
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