| Flame: Free-form language-based motion synthesis & editing J Kim, J Kim, S Choi Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 8255-8263, 2023 | 173 | 2023 |
| Uncertainty-aware learning from demonstration using mixture density networks with sampling-free variance modeling S Choi, K Lee, S Lim, S Oh 2018 IEEE International Conference on Robotics and Automation (ICRA), 6915-6922, 2018 | 131 | 2018 |
| Human behavior prediction for smart homes using deep learning S Choi, E Kim, S Oh 2013 IEEE RO-MAN, 173-179, 2013 | 91 | 2013 |
| Sparse markov decision processes with causal sparse tsallis entropy regularization for reinforcement learning K Lee, S Choi, S Oh IEEE Robotics and Automation Letters 3 (3), 1466-1473, 2018 | 73 | 2018 |
| Real-time navigation in crowded dynamic environments using Gaussian process motion control S Choi, E Kim, S Oh 2014 IEEE International Conference on Robotics and Automation (ICRA), 3221-3226, 2014 | 46 | 2014 |
| Vision-based coordinated localization for mobile sensor networks J Suh, S You, S Choi, S Oh IEEE transactions on automation science and engineering 13 (2), 611-620, 2014 | 45 | 2014 |
| Robust Learning from Demonstration Using Leveraged Gaussian Processes and Sparse-Constrained Optimization S Choi, K Lee, S Oh 2016 IEEE International Conference on Robotics and Automation (ICRA), 2016 | 39 | 2016 |
| Robust learning from demonstrations with mixed qualities using leveraged gaussian processes S Choi, K Lee, S Oh IEEE Transactions on Robotics 35 (3), 564-576, 2019 | 36 | 2019 |
| Interactive text2pickup networks for natural language-based human–robot collaboration H Ahn, S Choi, N Kim, G Cha, S Oh IEEE Robotics and Automation Letters 3 (4), 3308-3315, 2018 | 35 | 2018 |
| Conditional motion in-betweening J Kim, T Byun, S Shin, J Won, S Choi Pattern Recognition 132, 108894, 2022 | 30 | 2022 |
| Towards a natural motion generator: A pipeline to control a humanoid based on motion data S Choi, J Kim 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 30 | 2019 |
| Real-Time Nonparametric Reactive Navigation of Mobile Robots in Dynamic Environments S Choi, K Lee, S Oh Robotics and Autonomous Systems, 2017 | 28 | 2017 |
| Realistic and interactive robot gaze MKXJ Pan, S Choi, J Kennedy, K McIntosh, DC Zamora, G Niemeyer, ... 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 27 | 2020 |
| Generalized Tsallis Entropy Reinforcement Learning and Its Application to Soft Mobile Robots. K Lee, S Kim, S Lim, S Choi, M Hong, JI Kim, YL Park, S Oh Robotics: Science and Systems 16, 1-10, 2020 | 27 | 2020 |
| Maximum causal tsallis entropy imitation learning K Lee, S Choi, S Oh Advances in neural information processing systems 31, 2018 | 23 | 2018 |
| Distributed Gaussian process regression under localization uncertainty S Choi, M Jadaliha, J Choi, S Oh Journal of Dynamic Systems, Measurement, and Control 137 (3), 031007, 2015 | 22 | 2015 |
| Nonparametric Motion Retargeting for Humanoid Robots on Shared Latent Space. S Choi, MKXJ Pan, J Kim Robotics: Science and Systems, 2020 | 21 | 2020 |
| Inverse Reinforcement Learning with Leveraged Gaussian Processes K Lee, S Choi, S Oh IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016 | 21 | 2016 |
| Trajectory-based probabilistic policy gradient for learning locomotion behaviors S Choi, J Kim 2019 International Conference on Robotics and Automation (ICRA), 1-7, 2019 | 17 | 2019 |
| Tsallis reinforcement learning: A unified framework for maximum entropy reinforcement learning K Lee, S Kim, S Lim, S Choi, S Oh arXiv preprint arXiv:1902.00137, 2019 | 16 | 2019 |
Songhwai OhDepartment of Electrical and Computer Engineering, Seoul National University, KoreaVerified email at snu.ac.kr
