| 2025 | ICLR | Physics-informed Temporal Difference Metric Learning for Robot Motion Planning. | Ruiqi Ni, Zherong Pan, Ahmed H. Qureshi |
| 2025 | ICRA | Differentiable Composite Neural Signed Distance Fields for Robot Navigation in Dynamic Indoor Environments. | Syed Talha Bukhari, Daniel Lawson, Ahmed H. Qureshi |
| 2025 | ICRA | Integrating Active Sensing and Rearrangement Planning for Efficient Object Retrieval from Unknown, Confined, Cluttered Environments. | Junyong Kim, Hanwen Ren, Ahmed H. Qureshi |
| 2025 | IROS | Online Hierarchical Policy Learning using Physics Priors for Robot Navigation in Unknown Environments. | Wei Han Chen, Yuchen Liu, Alexiy Buynitsky, Ahmed H. Qureshi |
| 2025 | IROS | Manip4Care: Robotic Manipulation of Human Limbs for Solving Assistive Tasks. | Yubin Koh, Ahmed H. Qureshi |
| 2025 | IROS | Physics-informed Neural Motion Planning via Domain Decomposition in Large Environments. | Yuchen Liu, Alexiy Buynitsky, Ruiqi Ni, Ahmed H. Qureshi |
| 2025 | IROS | Physics-informed Neural Time Fields for Prehensile Object Manipulation. | Hanwen Ren, Ruiqi Ni, Ahmed H. Qureshi |
| 2025 | ICRA | Implicit Physics-aware Policy for Dynamic Manipulation of Rigid Objects via Soft Body Tools. | Zixing Wang, Ahmed H. Qureshi |
| 2024 | ICRA | Language-guided Active Sensing of Confined, Cluttered Environments via Object Rearrangement Planning. | Weihan Chen, Hanwen Ren, Ahmed H. Qureshi |
| 2024 | ICRA | Zero-Shot Constrained Motion Planning Transformers Using Learned Sampling Dictionaries. | Jacob J. Johnson, Ahmed H. Qureshi, Michael C. Yip |
| 2024 | ICRA | Merging Decision Transformers: Weight Averaging for Forming Multi-Task Policies. | Daniel Lawson, Ahmed H. Qureshi |
| 2024 | ICRA | Physics-informed Neural Motion Planning on Constraint Manifolds. | Ruiqi Ni, Ahmed H. Qureshi |
| 2024 | ICRA | SIMMF: Semantics-aware Interactive Multiagent Motion Forecasting for Autonomous Vehicle Driving. | Vidyaa Krishnan Nivash, Ahmed H. Qureshi |
| 2024 | ICRA | Neural Rearrangement Planning for Object Retrieval from Confined Spaces Perceivable by Robot's In-hand RGB-D Sensor. | Hanwen Ren, Ahmed H. Qureshi |
| 2024 | IROS | Multi-Stage Monte Carlo Tree Search for Non-Monotone Object Rearrangement Planning in Narrow Confined Environments. | Hanwen Ren, Ahmed H. Qureshi |
| 2024 | ICRA | Co-learning Planning and Control Policies Constrained by Differentiable Logic Specifications. | Zikang Xiong, Daniel Lawson, Joe Eappen, Ahmed H. Qureshi, Suresh Jagannathan |
| 2023 | CoRL | Structural Concept Learning via Graph Attention for Multi-Level Rearrangement Planning. | Manav Kulshrestha, Ahmed H. Qureshi |
| 2023 | ICLR | NTFields: Neural Time Fields for Physics-Informed Robot Motion Planning. | Ruiqi Ni, Ahmed H. Qureshi |
| 2023 | IROS | Efficient Q-Learning over Visit Frequency Maps for Multi-Agent Exploration of Unknown Environments. | Xuyang Chen, Ashvin N. Iyer, Zixing Wang, Ahmed H. Qureshi |
| 2023 | IROS | Control Transformer: Robot Navigation in Unknown Environments Through PRM-Guided Return-Conditioned Sequence Modeling. | Daniel Lawson, Ahmed H. Qureshi |
| 2022 | IROS | Model-free Neural Lyapunov Control for Safe Robot Navigation. | Zikang Xiong, Joe Eappen, Ahmed H. Qureshi, Suresh Jagannathan |