Ahmed H. Qureshi

71 papers A* 12A 8Misc 1Journal 49Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Formal Methods in Robot Policy Learning and Verification: A Survey on Current Techniques and Future Directions. CoRR Anastasios Manganaris, Vittorio Giammarino, Ahmed H. Qureshi, Suresh Jagannathan
2026	J	`jnl`	Formal Methods in Robot Policy Learning and Verification: A Survey on Current Techniques and Future Directions. Trans. Mach. Learn. Res. Anastasios Manganaris, Vittorio Giammarino, Ahmed H. Qureshi, Suresh Jagannathan
2026	J	`jnl`	Graph-of-Constraints Model Predictive Control for Reactive Multi-agent Task and Motion Planning. CoRR Anastasios Manganaris, Jeremy Lu, Ahmed H. Qureshi, Suresh Jagannathan
2026	J	`jnl`	Multi-Agent Monte Carlo Tree Search for Makespan-Efficient Object Rearrangement in Cluttered Spaces. CoRR Hanwen Ren, Junyong Kim, Aathman Tharmasanthiran, Ahmed H. Qureshi
2026	J	`jnl`	PPGuide: Steering Diffusion Policies with Performance Predictive Guidance. CoRR Zixing Wang, Devesh K. Jha, Ahmed H. Qureshi, Diego Romeres
2026	J	`jnl`	Safe Continuous-time Multi-Agent Reinforcement Learning via Epigraph Form. CoRR Xuefeng Wang, Lei Zhang, Henglin Pu, Husheng Li, Ahmed H. Qureshi
2025	J	`jnl`	Automaton Constrained Q-Learning. CoRR Anastasios Manganaris, Vittorio Giammarino, Ahmed H. Qureshi
2025	J	`jnl`	Continuous-Time Value Iteration for Multi-Agent Reinforcement Learning. CoRR Xuefeng Wang, Lei Zhang, Henglin Pu, Ahmed H. Qureshi, Husheng Li
2025	J	`jnl`	DeRi-IGP: Learning to Manipulate Rigid Objects Using Deformable Linear Objects via Iterative Grasp-Pull. IEEE Robotics Autom. Lett. Zixing Wang, Ahmed H. Qureshi
2025	A*	`conf`	Differentiable Composite Neural Signed Distance Fields for Robot Navigation in Dynamic Indoor Environments. ICRA Syed Talha Bukhari, Daniel Lawson, Ahmed H. Qureshi
2025	J	`jnl`	Differentiable Composite Neural Signed Distance Fields for Robot Navigation in Dynamic Indoor Environments. CoRR Syed Talha Bukhari, Daniel Lawson, Ahmed H. Qureshi
2025	J	`jnl`	Dynamic Robot Tool Use with Vision Language Models. CoRR Noah Trupin, Zixing Wang, Ahmed H. Qureshi
2025	J	`jnl`	Goal Reaching with Eikonal-Constrained Hierarchical Quasimetric Reinforcement Learning. CoRR Vittorio Giammarino, Ahmed H. Qureshi
2025	A*	`conf`	Implicit Physics-aware Policy for Dynamic Manipulation of Rigid Objects via Soft Body Tools. ICRA Zixing Wang, Ahmed H. Qureshi
2025	J	`jnl`	Implicit Physics-aware Policy for Dynamic Manipulation of Rigid Objects via Soft Body Tools. CoRR Zixing Wang, Ahmed H. Qureshi
2025	A*	`conf`	Integrating Active Sensing and Rearrangement Planning for Efficient Object Retrieval from Unknown, Confined, Cluttered Environments. ICRA Junyong Kim, Hanwen Ren, Ahmed H. Qureshi
2025	J	`jnl`	Manifold-constrained Hamilton-Jacobi Reachability Learning for Decentralized Multi-Agent Motion Planning. CoRR Qingyi Chen, Ruiqi Ni, Jun Kim, Ahmed H. Qureshi
2025	A	`conf`	Manip4Care: Robotic Manipulation of Human Limbs for Solving Assistive Tasks. IROS Yubin Koh, Ahmed H. Qureshi
2025	J	`jnl`	Manip4Care: Robotic Manipulation of Human Limbs for Solving Assistive Tasks. CoRR Yubin Koh, Ahmed H. Qureshi
2025	J	`jnl`	Multimodal Human-Intent Modeling for Contextual Robot-to-Human Handovers of Arbitrary Objects. CoRR Lucas Chen, Guna Avula, Hanwen Ren, Zixing Wang, Ahmed H. Qureshi
2025	J	`jnl`	NeHMO: Neural Hamilton-Jacobi Reachability Learning for Decentralized Safe Multi-Agent Motion Planning. CoRR Qingyi Chen, Ahmed H. Qureshi
2025	A	`conf`	Online Hierarchical Policy Learning using Physics Priors for Robot Navigation in Unknown Environments. IROS Wei Han Chen, Yuchen Liu, Alexiy Buynitsky, Ahmed H. Qureshi
2025	J	`jnl`	Online Hierarchical Policy Learning using Physics Priors for Robot Navigation in Unknown Environments. CoRR Wei Han Chen, Yuchen Liu, Alexiy Buynitsky, Ahmed H. Qureshi
2025	J	`jnl`	Physics-Informed Neural Mapping and Motion Planning in Unknown Environments. IEEE Trans. Robotics Yuchen Liu, Ruiqi Ni, Ahmed H. Qureshi
2025	A	`conf`	Physics-informed Neural Motion Planning via Domain Decomposition in Large Environments. IROS Yuchen Liu, Alexiy Buynitsky, Ruiqi Ni, Ahmed H. Qureshi
2025	J	`jnl`	Physics-informed Neural Motion Planning via Domain Decomposition in Large Environments. CoRR Yuchen Liu, Alexiy Buynitsky, Ruiqi Ni, Ahmed H. Qureshi
2025	A	`conf`	Physics-informed Neural Time Fields for Prehensile Object Manipulation. IROS Hanwen Ren, Ruiqi Ni, Ahmed H. Qureshi
2025	J	`jnl`	Physics-informed Neural Time Fields for Prehensile Object Manipulation. CoRR Hanwen Ren, Ruiqi Ni, Ahmed H. Qureshi
2025	A*	`conf`	Physics-informed Temporal Difference Metric Learning for Robot Motion Planning. ICLR Ruiqi Ni, Zherong Pan, Ahmed H. Qureshi
2025	J	`jnl`	Physics-informed Temporal Difference Metric Learning for Robot Motion Planning. CoRR Ruiqi Ni, Zherong Pan, Ahmed H. Qureshi
2025	J	`jnl`	Physics-informed Value Learner for Offline Goal-Conditioned Reinforcement Learning. CoRR Vittorio Giammarino, Ruiqi Ni, Ahmed H. Qureshi
2025	J	`jnl`	Robust Point Cloud Reinforcement Learning via PCA-Based Canonicalization. CoRR Michael Bezick, Vittorio Giammarino, Ahmed H. Qureshi
2024	A*	`conf`	Co-learning Planning and Control Policies Constrained by Differentiable Logic Specifications. ICRA Zikang Xiong, Daniel Lawson, Joe Eappen, Ahmed H. Qureshi, Suresh Jagannathan
2024	J	`jnl`	Evolution-Based Shape and Behavior Co-Design of Virtual Agents. IEEE Trans. Vis. Comput. Graph. Zhiquan Wang, Bedrich Benes, Ahmed H. Qureshi, Christos Mousas
2024	J	`jnl`	Integrating Active Sensing and Rearrangement Planning for Efficient Object Retrieval from Unknown, Confined, Cluttered Environments. CoRR Junyong Kim, Hanwen Ren, Ahmed H. Qureshi
2024	A*	`conf`	Language-guided Active Sensing of Confined, Cluttered Environments via Object Rearrangement Planning. ICRA Weihan Chen, Hanwen Ren, Ahmed H. Qureshi
2024	J	`jnl`	Language-guided Active Sensing of Confined, Cluttered Environments via Object Rearrangement Planning. CoRR Weihan Chen, Hanwen Ren, Ahmed H. Qureshi
2024	A*	`conf`	Merging Decision Transformers: Weight Averaging for Forming Multi-Task Policies. ICRA Daniel Lawson, Ahmed H. Qureshi
2024	A	`conf`	Multi-Stage Monte Carlo Tree Search for Non-Monotone Object Rearrangement Planning in Narrow Confined Environments. IROS Hanwen Ren, Ahmed H. Qureshi
2024	A*	`conf`	Neural Rearrangement Planning for Object Retrieval from Confined Spaces Perceivable by Robot's In-hand RGB-D Sensor. ICRA Hanwen Ren, Ahmed H. Qureshi
2024	J	`jnl`	Neural Rearrangement Planning for Object Retrieval from Confined Spaces Perceivable by Robot's In-hand RGB-D Sensor. CoRR Hanwen Ren, Ahmed H. Qureshi
2024	J	`jnl`	Physics-informed Neural Mapping and Motion Planning in Unknown Environments. CoRR Yuchen Liu, Ruiqi Ni, Ahmed H. Qureshi
2024	A*	`conf`	Physics-informed Neural Motion Planning on Constraint Manifolds. ICRA Ruiqi Ni, Ahmed H. Qureshi
2024	J	`jnl`	Physics-informed Neural Motion Planning on Constraint Manifolds. CoRR Ruiqi Ni, Ahmed H. Qureshi
2024	A*	`conf`	SIMMF: Semantics-aware Interactive Multiagent Motion Forecasting for Autonomous Vehicle Driving. ICRA Vidyaa Krishnan Nivash, Ahmed H. Qureshi
2024	A*	`conf`	Zero-Shot Constrained Motion Planning Transformers Using Learned Sampling Dictionaries. ICRA Jacob J. Johnson, Ahmed H. Qureshi, Michael C. Yip
2023	J	`jnl`	AnyPose: Anytime 3D Human Pose Forecasting via Neural Ordinary Differential Equations. CoRR Zixing Wang, Ahmed H. Qureshi
2023	J	`jnl`	Co-learning Planning and Control Policies Using Differentiable Formal Task Constraints. CoRR Zikang Xiong, Joe Eappen, Daniel Lawson, Ahmed H. Qureshi, Suresh Jagannathan
2023	A	`conf`	Control Transformer: Robot Navigation in Unknown Environments Through PRM-Guided Return-Conditioned Sequence Modeling. IROS Daniel Lawson, Ahmed H. Qureshi
2023	J	`jnl`	DeRi-Bot: Learning to Collaboratively Manipulate Rigid Objects via Deformable Objects. CoRR Zixing Wang, Ahmed H. Qureshi
2023	J	`jnl`	DeRi-Bot: Learning to Collaboratively Manipulate Rigid Objects via Deformable Objects. IEEE Robotics Autom. Lett. Zixing Wang, Ahmed H. Qureshi
2023	A	`conf`	Efficient Q-Learning over Visit Frequency Maps for Multi-Agent Exploration of Unknown Environments. IROS Xuyang Chen, Ashvin N. Iyer, Zixing Wang, Ahmed H. Qureshi
2023	J	`jnl`	Efficient Q-Learning over Visit Frequency Maps for Multi-agent Exploration of Unknown Environments. CoRR Xuyang Chen, Ashvin N. Iyer, Zixing Wang, Ahmed H. Qureshi
2023	J	`jnl`	Learning Sampling Dictionaries for Efficient and Generalizable Robot Motion Planning With Transformers. IEEE Robotics Autom. Lett. Jacob J. Johnson, Ahmed H. Qureshi, Michael C. Yip
2023	J	`jnl`	MANER: Multi-Agent Neural Rearrangement Planning of Objects in Cluttered Environments. CoRR Vivek Gupta, Praphpreet Dhir, Jeegn Dani, Ahmed H. Qureshi
2023	J	`jnl`	MANER: Multi-Agent Neural Rearrangement Planning of Objects in Cluttered Environments. IEEE Robotics Autom. Lett. Vivek Gupta, Praphpreet Dhir, Jeegn Dani, Ahmed H. Qureshi
2023	J	`jnl`	Merging Decision Transformers: Weight Averaging for Forming Multi-Task Policies. CoRR Daniel Lawson, Ahmed H. Qureshi
2023	A*	`conf`	NTFields: Neural Time Fields for Physics-Informed Robot Motion Planning. ICLR Ruiqi Ni, Ahmed H. Qureshi
2023	—	`conf`	Progressive Learning for Physics-informed Neural Motion Planning. Robotics: Science and Systems Ruiqi Ni, Ahmed H. Qureshi
2023	J	`jnl`	Progressive Learning for Physics-informed Neural Motion Planning. CoRR Ruiqi Ni, Ahmed H. Qureshi
2023	J	`jnl`	Robot Active Neural Sensing and Planning in Unknown Cluttered Environments. IEEE Trans. Robotics Hanwen Ren, Ahmed H. Qureshi
2023	J	`jnl`	SIMF: Semantics-aware Interactive Motion Forecasting for Autonomous Driving. CoRR Vidyaa Krishnan Nivash, Ahmed H. Qureshi
2023	Misc	`conf`	Structural Concept Learning via Graph Attention for Multi-Level Rearrangement Planning. CoRL Manav Kulshrestha, Ahmed H. Qureshi
2023	J	`jnl`	Structural Concept Learning via Graph Attention for Multi-Level Rearrangement Planning. CoRR Manav Kulshrestha, Ahmed H. Qureshi
2022	J	`jnl`	Co-design of Embodied Neural Intelligence via Constrained Evolution. CoRR Zhiquan Wang, Bedrich Benes, Ahmed H. Qureshi, Christos Mousas
2022	J	`jnl`	Control Transformer: Robot Navigation in Unknown Environments through PRM-Guided Return-Conditioned Sequence Modeling. CoRR Daniel Lawson, Ahmed H. Qureshi
2022	A	`conf`	Model-free Neural Lyapunov Control for Safe Robot Navigation. IROS Zikang Xiong, Joe Eappen, Ahmed H. Qureshi, Suresh Jagannathan
2022	J	`jnl`	Model-free Neural Lyapunov Control for Safe Robot Navigation. CoRR Zikang Xiong, Joe Eappen, Ahmed H. Qureshi, Suresh Jagannathan
2022	J	`jnl`	NTFields: Neural Time Fields for Physics-Informed Robot Motion Planning. CoRR Ruiqi Ni, Ahmed H. Qureshi
2021	J	`jnl`	MPC-MPNet: Model-Predictive Motion Planning Networks for Fast, Near-Optimal Planning Under Kinodynamic Constraints. IEEE Robotics Autom. Lett. Linjun Li, Yinglong Miao, Ahmed H. Qureshi, Michael C. Yip
2020	J	`jnl`	Neural Manipulation Planning on Constraint Manifolds. IEEE Robotics Autom. Lett. Ahmed H. Qureshi, Jiangeng Dong, Austin Choe, Michael C. Yip