| Llm+ p: Empowering large language models with optimal planning proficiency B Liu*, Y Jiang*, X Zhang, Q Liu, S Zhang, J Biswas, P Stone arXiv preprint arXiv:2304.11477, 2023 | 158 | 2023 |
| Task and motion planning with large language models for object rearrangement Y Ding*, X Zhang*, C Paxton, S Zhang IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023 | 74 | 2023 |
| Visually Grounded Task and Motion Planning for Mobile Manipulation X Zhang, Y Zhu, Y Ding, Y Zhu, P Stone, S Zhang IEEE International Conference on Robotics and Automation (ICRA), 2022 | 16 | 2022 |
| Integrating action knowledge and LLMs for task planning and situation handling in open worlds Y Ding, X Zhang, S Amiri, N Cao, H Yang, A Kaminski, C Esselink, ... Autonomous Robots 47 (8), 981-997, 2023 | 13 | 2023 |
| Robot task planning and situation handling in open worlds Y Ding, X Zhang, S Amiri, N Cao, H Yang, C Esselink, S Zhang arXiv preprint arXiv:2210.01287, 2022 | 12 | 2022 |
| Learning to guide human attention on mobile telepresence robots with 360 vision K Chandan, J Albertson, X Zhang, X Zhang, Y Liu, S Zhang IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS …, 2021 | 12* | 2021 |
| Task-Motion Planning for Safe and Efficient Urban Driving Y Ding, X Zhang, X Zhan, S Zhang IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020 | 12 | 2020 |
| SLAP: Spatial-Language Attention Policies P Parashar, V Jain, X Zhang, J Vakil, S Powers, Y Bisk, C Paxton 7th Annual Conference on Robot Learning, 2023 | 8* | 2023 |
| Grounding Classical Task Planners via Vision-Language Models X Zhang, Y Ding, S Amiri, H Yang, A Kaminski, C Esselink, S Zhang ICRA 2023 Workshop on Robot Execution Failures and Failure Management Strategies, 2023 | 7 | 2023 |
| Leveraging commonsense knowledge from large language models for task and motion planning Y Ding*, X Zhang*, C Paxton, S Zhang RSS 2023 Workshop on Learning for Task and Motion Planning, 2023 | 6 | 2023 |
| Robotic Table Wiping via Reinforcement Learning and Whole-body Trajectory Optimization T Lew, S Singh, M Prats, J Bingham, J Weisz, B Holson, X Zhang, ... IEEE International Conference on Robotics and Automation (ICRA), 2023 | 6 | 2023 |
| Learning to Ground Objects for Robot Task and Motion Planning Y Ding, X Zhang, X Zhan, S Zhang IEEE Robotics and Automation Letters (RA-L), 2022 | 5 | 2022 |
| Multimodal embodied attribute learning by robots for object-centric action policies X Zhang, S Amiri, J Sinapov, J Thomason, P Stone, S Zhang Autonomous Robots 47 (5), 505-528, 2023 | 3 | 2023 |
| Planning multimodal exploratory actions for online robot attribute learning X Zhang, J Sinapov, S Zhang Robotics: Science and Systems (RSS), 2021 | 3 | 2021 |
| Glad: Grounded layered autonomous driving for complex service tasks Y Ding, C Cui, X Zhang, S Zhang arXiv preprint arXiv:2210.02302, 2022 | 2 | 2022 |
| Symbolic State Space Optimization for Long Horizon Mobile Manipulation Planning X Zhang, Y Zhu, Y Ding, Y Jiang, Y Zhu, P Stone, S Zhang IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023 | 1 | 2023 |
Shiqi ZhangAssociate Professor of Computer Science, SUNY BinghamtonVerified email at binghamton.edu
