News
- 03/2023: Organizing Tartan Planning Series Spring 2023!
- 07/2022: 2 papers on few-shot object detection were accepted at ECCV and IROS
- 11/2021: 1 paper on unsupervised online learning for robotics accepted at T-RO
- 09/2020: Started PhD in Robotics at Carnegie Mellon University!
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Multi-Robot Multi-Room Exploration with Geometric Cue Extraction and Spherical Decomposition
Seungchan Kim, Micah Corah, John Keller, Graeme Best, Sebastian Scherer
arXiv preprint arXiv:2307.15202. Under Review
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AirDet: Few-Shot Detection without Fine-tuning for Autonomous Exploration
Bowen Li, Chen Wang, Pranay Reddy, Seungchan Kim, Sebastian Scherer
European Conference on Computer Vision (ECCV) 2022
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code
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Robotic Interestingness via Human-Informed Few-Shot Object Detection
Seungchan Kim, Chen Wang, Bowen Li, Sebastian Scherer
IEEE/RSJ International Conference on Robotics and Systems (IROS) 2022
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Unsupervised Online Learning for Robotic Interestingness with Visual Memory
Chen Wang, Yuheng Qiu, Wenshan Wang, Yafei Hu, Seungchan Kim, Sebastian Scherer
IEEE Transactions on Robotics (T-RO) 2022
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Using Computational Analysis of Behavior to Discover Developmental Change in Memory-Guided Attention Mechanisms in Childhood
Dima Amso, Lakshmi Govindarajan, Pankaj Gupta, Diego Placido, Heidi Baumgartner, Andrew Lynn, Kelley Gunther, Tarun Sharma, Vijay Veerabadran, Kalpit Thakkar, Seungchan Kim, Thomas Serre
PsyArXiv. doi:10.31234/osf.io/gq4rt
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Combating the Compounding-Error Problem with a Multi-step Model
Kavosh Asadi, Dipendra Misra, Seungchan Kim, Michael Littman
arXiv preprint arXiv:1905.13320 (2019).
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DeepMellow: Removing the Need for a Target Network in Deep Q-Learning
Seungchan Kim, Kavosh Asadi, Michael Littman, George Konidaris
International Joint Conference on Artificial Intelligence (IJCAI) 2019
Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM) 2019
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Removing the Target Network from Deep Q-Networks with the Mellowmax Operator
Seungchan Kim, Kavosh Asadi, Michael Littman, George Konidaris
International Conference on Autonomous Agents and Multiagent Systems (AAMAS) 2019
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