Human behavior prediction for smart homes using deep learning S Choi, E Kim, S Oh 2013 IEEE RO-MAN, 173-179, 2013 | 76 | 2013 |
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 | 74 | 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 | 41 | 2014 |
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 | 37 | 2018 |
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 | 36 | 2016 |
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 | 35 | 2014 |
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 | 20 | 2015 |
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 | 18 | 2019 |
Real-Time Nonparametric Reactive Navigation of Mobile Robots in Dynamic Environments S Choi, K Lee, S Oh Robotics and Autonomous Systems, 2017 | 17 | 2017 |
Maximum causal tsallis entropy imitation learning K Lee, S Choi, S Oh Advances in neural information processing systems 31, 2018 | 15 | 2018 |
Inverse Reinforcement Learning with Leveraged Gaussian Processes K Lee, S Choi, S Oh IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016 | 15 | 2016 |
Leveraged non-stationary Gaussian process regression for autonomous robot navigation S Choi, E Kim, K Lee, S Oh 2015 IEEE International Conference on Robotics and Automation (ICRA), 473-478, 2015 | 14 | 2015 |
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 | 12 | 2018 |
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 | 11 | 2019 |
Choicenet: Robust learning by revealing output correlations S Choi, S Hong, K Lee, S Lim | 9 | 2018 |
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 | 8 | 2020 |
Unsupervised holistic image generation from key local patches D Lee, S Yun, S Choi, H Yoo, MH Yang, S Oh Proceedings of the European conference on computer vision (ECCV), 19-35, 2018 | 8 | 2018 |
Density matching reward learning S Choi, K Lee, A Park, S Oh arXiv preprint arXiv:1608.03694, 2016 | 8 | 2016 |
Nonparametric motion retargeting for humanoid robots on shared latent space S Choi, M Pan, J Kim 16th Robotics: Science and Systems, RSS 2020, 2020 | 7 | 2020 |
Trajectory-based probabilistic policy gradient for learning locomotion behaviors S Choi, J Kim 2019 International Conference on Robotics and Automation (ICRA), 1-7, 2019 | 7 | 2019 |