Research output per year
Research output per year
Personal profile
Overview
Seongin Na is a PhD student in Swarm and Computational Intelligence (SwaCIL) Lab at the University of Manchester. His research interests are focused on Swarm Robotics, Biomemitics and Machine Learning. He awarded President's Doctoral Scholar (PDS) Award for his PhD Study.
Prior to his PhD study, he studied Mechatronic Engineering at the University of Manchester and graduated in 2019. During the final year of his undergraduate study, he published a conference proceeding "Extended Artificial Pheromone System for Swarm Robotic Application".
My group
Swarm and Computational Intelligence Lab (SwaCIL)
SwaCIL was formed in 2019 with the main focus on Swarm Robotics and its applications in real-world scenarios. We work on bio-inspired swarm scenarios (aggregation, flocking, foraging etc) and model them with our simulation software and real micro-robots. The target applications are in Agriculture, Extreme Environment, and Cleaning.
Prizes and awards
Seongin Na awarded President's Doctoral Scholar Award (PDS), which is given to 3% of PhD students across all the faculty at the University of Manchester.
Media contributions and coverage
Education/Academic qualification
Bachelor of Engineering, Mechatronic Engineering, The University of Manchester
1 Sep 2016 → 7 Jun 2019
Award Date: 16 Jul 2019
Areas of expertise
- TK Electrical engineering. Electronics Nuclear engineering
Keywords
- Swarm Robotics
- Swarm Intelligence
- Multi-Agent Reinforcement Learning
- Biomimetics
- Evolutionary Computation
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Network
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Extended Artificial Pheromone System for Swarm Robotic Applications
Na, S., Raoufi, M., Turgut, A. E., Krajník, T. & Arvin, F., 2019, ALIFE 2019: The 2019 Conference on Artificial Life. Fellermann, H., Bacardit, J., Goñi-Moreno, Á. & Füchslin, R. M. (eds.). MIT Press, p. 608-615 8 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Federated Reinforcement Learning for Collective Navigation of Robotic Swarms
Na, S., Rouček, T., Ulrich, J., Pikman, J., Krajník, T., Lennox, B. & Arvin, F., 25 Jan 2023, In: IEEE Transactions on Cognitive and Developmental Systems.Research output: Contribution to journal › Article › peer-review
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Bio-inspired Collision Avoidance in Swarm Systems via Deep Reinforcement Learning
Na, S., Niu, H., Lennox, B. & Arvin, F., 25 Jan 2022, In: IEEE Transactions on Vehicular Technology. 71, 3, p. 2511-2526 16 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile4 Downloads (Pure) -
Universal Artificial Pheromone Framework with Deep Reinforcement Learning for Robotic Systems
Na, S., Arvin, F., Lennox, B. & Niu, H., 26 May 2021, 2021 6th International Conference on Control and Robotics Engineering (ICCRE) DOI: 10.1109/ICCRE51898.2021. IEEE, p. 28-32 5 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Bio-inspired Artificial Pheromone System for Swarm Robotics Applications
Na, S., Qiu, Y., Turgut, A. E., Ulrich, J., Krajnik, T., Yue, S., Lennox, B. & Arvin, F., 3 Jun 2020, In: Adaptive Behavior.Research output: Contribution to journal › Article › peer-review
Open Access
Press/Media
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A system for swarm robotics applications inspired by pheromone communication in insects
Seongin Na, Barry Lennox & Farshad Arvin
9/07/20
1 Media contribution
Press/Media: Expert comment