Goal-Conditioned Imitation Learning using Score-based Diffusion Policies M Reuss, M Li, X Jia, R Lioutikov arXiv preprint arXiv:2304.02532, 2023 | 41 | 2023 |
Causal-based Time Series Domain Generalization for Vehicle Intention Prediction Y Hu, X Jia, M Tomizuka, W Zhan 2022 International Conference on Robotics and Automation (ICRA), 7806-7813, 2022 | 31 | 2022 |
On complementing end-to-end human motion predictors with planning L Sun, X Jia, AD Dragan 2021 Robotics: Science and Systems (RSS), 2021 | 22* | 2021 |
Dynamic Scenario Representation Learning for Motion Forecasting with Heterogeneous Graph Convolutional Recurrent Networks X Gao, X Jia, Y Li, H Xiong IEEE Robotics and Automation Letters, 2023 | 10 | 2023 |
A modified CenterNet for crack detection of sanitary ceramics X Jia, X Yang, X Yu, H Gao IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics …, 2020 | 10 | 2020 |
Scale-adaptive NN-based similarity for robust template matching Z Zhang, X Yang, X Jia IEEE Transactions on Instrumentation and Measurement 70, 1-9, 2020 | 10 | 2020 |
Information Maximizing Curriculum: A Curriculum-Based Approach for Learning Versatile Skills D Blessing, O Celik, X Jia, M Reuss, MX Li, R Lioutikov, G Neumann Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 7* | 2023 |
Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human Demonstrations X Jia, D Blessing, X Jiang, M Reuss, A Donat, R Lioutikov, G Neumann The Twelfth International Conference on Learning Representations, 2023 | 2 | 2023 |
A Comprehensive User Study on Augmented Reality-Based Data Collection Interfaces for Robot Learning X Jiang, P Mattes, X Jia, N Schreiber, G Neumann, R Lioutikov Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot …, 2024 | | 2024 |
A User Study on Augmented Reality-Based Robot Learning Data Collection Interfaces X Jiang, P Mattes, X Jia, G Neumann, R Lioutikov Towards Generalist Robots: Learning Paradigms for Scalable Skill Acquisition …, 2023 | | 2023 |