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ORCIDAhmed H. Qureshi
Ahmed Hussain Qureshi
Person information
- affiliation: Purdue University, Department of Computer Science, West Lafayette, IN, USA
- affiliation (PhD 2021): University of California San Diego, Department of Electrical and Computer Engineering, CA, USA
- affiliation (former): Osaka University, Japan
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2020 – today
- 2024
[j13]Zhiquan Wang
, Bedrich Benes, Ahmed H. Qureshi, Christos Mousas:
Evolution-Based Shape and Behavior Co-Design of Virtual Agents. IEEE Trans. Vis. Comput. Graph. 30(12): 7579-7591 (2024)- [c30]Vidyaa Krishnan Nivash, Ahmed H. Qureshi:
SIMMF: Semantics-aware Interactive Multiagent Motion Forecasting for Autonomous Vehicle Driving. ICRA 2024: 6813-6819 - [c29]Weihan Chen, Hanwen Ren, Ahmed H. Qureshi:
Language-guided Active Sensing of Confined, Cluttered Environments via Object Rearrangement Planning. ICRA 2024: 11224-11230 - [c28]Ruiqi Ni, Ahmed H. Qureshi:
Physics-informed Neural Motion Planning on Constraint Manifolds. ICRA 2024: 12179-12185 - [c27]Daniel Lawson, Ahmed H. Qureshi:
Merging Decision Transformers: Weight Averaging for Forming Multi-Task Policies. ICRA 2024: 12942-12948 - [c26]Zikang Xiong, Daniel Lawson, Joe Eappen, Ahmed H. Qureshi, Suresh Jagannathan:
Co-learning Planning and Control Policies Constrained by Differentiable Logic Specifications. ICRA 2024: 14272-14278 - [c25]Jacob J. Johnson, Ahmed H. Qureshi, Michael C. Yip:
Zero-Shot Constrained Motion Planning Transformers Using Learned Sampling Dictionaries. ICRA 2024: 14363-14369 - [c24]Hanwen Ren, Ahmed H. Qureshi:
Neural Rearrangement Planning for Object Retrieval from Confined Spaces Perceivable by Robot's In-hand RGB-D Sensor. ICRA 2024: 15388-15394 - [c23]Hanwen Ren, Ahmed H. Qureshi:
Multi-Stage Monte Carlo Tree Search for Non-Monotone Object Rearrangement Planning in Narrow Confined Environments. IROS 2024: 12078-12085 - [i41]Weihan Chen, Hanwen Ren, Ahmed H. Qureshi:
Language-guided Active Sensing of Confined, Cluttered Environments via Object Rearrangement Planning. CoRR abs/2402.02308 (2024) - [i40]Hanwen Ren, Ahmed H. Qureshi:
Neural Rearrangement Planning for Object Retrieval from Confined Spaces Perceivable by Robot's In-hand RGB-D Sensor. CoRR abs/2402.06976 (2024) - [i39]Ruiqi Ni, Ahmed H. Qureshi:
Physics-informed Neural Motion Planning on Constraint Manifolds. CoRR abs/2403.05765 (2024) - [i38]Yuchen Liu, Ruiqi Ni, Ahmed H. Qureshi:
Physics-informed Neural Mapping and Motion Planning in Unknown Environments. CoRR abs/2410.09883 (2024) - [i37]Junyong Kim, Hanwen Ren, Ahmed H. Qureshi:
Integrating Active Sensing and Rearrangement Planning for Efficient Object Retrieval from Unknown, Confined, Cluttered Environments. CoRR abs/2411.11733 (2024) - 2023
- [j12]Zixing Wang, Ahmed H. Qureshi:
DeRi-Bot: Learning to Collaboratively Manipulate Rigid Objects via Deformable Objects. IEEE Robotics Autom. Lett. 8(10): 6355-6362 (2023) - [j11]Jacob J. Johnson, Ahmed H. Qureshi, Michael C. Yip:
Learning Sampling Dictionaries for Efficient and Generalizable Robot Motion Planning With Transformers. IEEE Robotics Autom. Lett. 8(12): 7946-7953 (2023) - [j10]Vivek Gupta, Praphpreet Dhir, Jeegn Dani, Ahmed H. Qureshi:
MANER: Multi-Agent Neural Rearrangement Planning of Objects in Cluttered Environments. IEEE Robotics Autom. Lett. 8(12): 8295-8302 (2023) - [j9]Hanwen Ren, Ahmed H. Qureshi:
Robot Active Neural Sensing and Planning in Unknown Cluttered Environments. IEEE Trans. Robotics 39(4): 2738-2750 (2023) - [c22]Manav Kulshrestha, Ahmed H. Qureshi:
Structural Concept Learning via Graph Attention for Multi-Level Rearrangement Planning. CoRL 2023: 3180-3193 - [c21]Ruiqi Ni, Ahmed H. Qureshi:
NTFields: Neural Time Fields for Physics-Informed Robot Motion Planning. ICLR 2023 - [c20]Abhinav K. Keshari, Hanwen Ren, Ahmed Hussain Qureshi:
CoGrasp: 6-DoF Grasp Generation for Human-Robot Collaboration. ICRA 2023: 9829-9836 - [c19]Xuyang Chen, Ashvin N. Iyer, Zixing Wang, Ahmed H. Qureshi:
Efficient Q-Learning over Visit Frequency Maps for Multi-Agent Exploration of Unknown Environments. IROS 2023: 1893-1900 - [c18]Daniel Lawson, Ahmed H. Qureshi:
Control Transformer: Robot Navigation in Unknown Environments Through PRM-Guided Return-Conditioned Sequence Modeling. IROS 2023: 9324-9331 - [c17]Ruiqi Ni, Ahmed H. Qureshi:
Progressive Learning for Physics-informed Neural Motion Planning. Robotics: Science and Systems 2023 - [i36]Zikang Xiong, Joe Eappen, Daniel Lawson, Ahmed H. Qureshi, Suresh Jagannathan:
Co-learning Planning and Control Policies Using Differentiable Formal Task Constraints. CoRR abs/2303.01346 (2023) - [i35]Daniel Lawson, Ahmed H. Qureshi:
Merging Decision Transformers: Weight Averaging for Forming Multi-Task Policies. CoRR abs/2303.07551 (2023) - [i34]Zixing Wang, Ahmed H. Qureshi:
DeRi-Bot: Learning to Collaboratively Manipulate Rigid Objects via Deformable Objects. CoRR abs/2305.13183 (2023) - [i33]Hanwen Ren, Ahmed Hussain Qureshi:
Multi-Stage Monte Carlo Tree Search for Non-Monotone Object Rearrangement Planning in Narrow Confined Environments. CoRR abs/2305.17175 (2023) - [i32]Ruiqi Ni, Ahmed H. Qureshi:
Progressive Learning for Physics-informed Neural Motion Planning. CoRR abs/2306.00616 (2023) - [i31]Jacob J. Johnson, Ahmed Hussain Qureshi, Michael C. Yip:
Learning Sampling Dictionaries for Efficient and Generalizable Robot Motion Planning with Transformers. CoRR abs/2306.00851 (2023) - [i30]Vivek Gupta, Praphpreet Dhir, Jeegn Dani, Ahmed H. Qureshi:
MANER: Multi-Agent Neural Rearrangement Planning of Objects in Cluttered Environments. CoRR abs/2306.06543 (2023) - [i29]Vidyaa Krishnan Nivash, Ahmed H. Qureshi:
SIMF: Semantics-aware Interactive Motion Forecasting for Autonomous Driving. CoRR abs/2306.14941 (2023) - [i28]Xuyang Chen, Ashvin N. Iyer, Zixing Wang, Ahmed H. Qureshi:
Efficient Q-Learning over Visit Frequency Maps for Multi-agent Exploration of Unknown Environments. CoRR abs/2307.16318 (2023) - [i27]Manav Kulshrestha, Ahmed H. Qureshi:
Structural Concept Learning via Graph Attention for Multi-Level Rearrangement Planning. CoRR abs/2309.02547 (2023) - [i26]Zixing Wang, Ahmed H. Qureshi:
AnyPose: Anytime 3D Human Pose Forecasting via Neural Ordinary Differential Equations. CoRR abs/2309.04840 (2023) - [i25]Jacob J. Johnson, Ahmed Hussain Qureshi, Michael C. Yip:
Zero-Shot Constrained Motion Planning Transformers Using Learned Sampling Dictionaries. CoRR abs/2309.15272 (2023) - 2022
- [j8]Ahmed Hussain Qureshi, Jiangeng Dong, Asfiya Baig, Michael C. Yip:
Constrained Motion Planning Networks X. IEEE Trans. Robotics 38(2): 868-886 (2022) - [c16]Zikang Xiong, Joe Eappen, Ahmed H. Qureshi, Suresh Jagannathan:
Model-free Neural Lyapunov Control for Safe Robot Navigation. IROS 2022: 5572-5579 - [i24]Zikang Xiong, Joe Eappen, Ahmed H. Qureshi, Suresh Jagannathan:
Model-free Neural Lyapunov Control for Safe Robot Navigation. CoRR abs/2203.01190 (2022) - [i23]Zhiquan Wang, Bedrich Benes, Ahmed H. Qureshi, Christos Mousas:
Co-design of Embodied Neural Intelligence via Constrained Evolution. CoRR abs/2205.10688 (2022) - [i22]Hanwen Ren, Ahmed Hussain Qureshi:
Robot Active Neural Sensing and Planning in Unknown Cluttered Environments. CoRR abs/2208.11079 (2022) - [i21]Ruiqi Ni, Ahmed H. Qureshi:
NTFields: Neural Time Fields for Physics-Informed Robot Motion Planning. CoRR abs/2210.00120 (2022) - [i20]Abhinav K. Keshari, Hanwen Ren, Ahmed Hussain Qureshi:
CoGrasp: 6-DoF Grasp Generation for Human-Robot Collaboration. CoRR abs/2210.03173 (2022) - [i19]Daniel Lawson, Ahmed H. Qureshi:
Control Transformer: Robot Navigation in Unknown Environments through PRM-Guided Return-Conditioned Sequence Modeling. CoRR abs/2211.06407 (2022) - 2021
- [j7]Linjun Li, Yinglong Miao, Ahmed H. Qureshi, Michael C. Yip:
MPC-MPNet: Model-Predictive Motion Planning Networks for Fast, Near-Optimal Planning Under Kinodynamic Constraints. IEEE Robotics Autom. Lett. 6(3): 4496-4503 (2021) - [j6]Ahmed Hussain Qureshi, Yinglong Miao, Anthony Simeonov, Michael C. Yip:
Motion Planning Networks: Bridging the Gap Between Learning-Based and Classical Motion Planners. IEEE Trans. Robotics 37(1): 48-66 (2021) - [c15]Ahmed Hussain Qureshi, Arsalan Mousavian, Chris Paxton, Michael C. Yip, Dieter Fox:
NeRP: Neural Rearrangement Planning for Unknown Objects. Robotics: Science and Systems 2021 - [i18]Linjun Li, Yinglong Miao, Ahmed Hussain Qureshi, Michael C. Yip:
MPC-MPNet: Model-Predictive Motion Planning Networks for Fast, Near-Optimal Planning under Kinodynamic Constraints. CoRR abs/2101.06798 (2021) - [i17]Ahmed Hussain Qureshi, Arsalan Mousavian, Chris Paxton, Michael C. Yip, Dieter Fox:
NeRP: Neural Rearrangement Planning for Unknown Objects. CoRR abs/2106.01352 (2021) - [i16]Jacob J. Johnson, Linjun Li, Ahmed Hussain Qureshi, Michael C. Yip:
Motion Planning Transformers: One Model to Plan Them All. CoRR abs/2106.02791 (2021) - 2020
- [j5]Ahmed H. Qureshi, Jiangeng Dong, Austin Choe, Michael C. Yip:
Neural Manipulation Planning on Constraint Manifolds. IEEE Robotics Autom. Lett. 5(4): 6089-6096 (2020) - [c14]Ahmed Hussain Qureshi, Jacob J. Johnson, Yuzhe Qin, Taylor Henderson, Byron Boots, Michael C. Yip:
Composing Task-Agnostic Policies with Deep Reinforcement Learning. ICLR 2020 - [c13]Jacob J. Johnson, Linjun Li, Fei Liu, Ahmed Hussain Qureshi, Michael C. Yip:
Dynamically Constrained Motion Planning Networks for Non-Holonomic Robots. IROS 2020: 6937-6943 - [i15]Ahmed Hussain Qureshi, Jiangeng Dong, Austin Choe, Michael C. Yip:
Neural Manipulation Planning on Constraint Manifolds. CoRR abs/2008.03787 (2020) - [i14]Jacob J. Johnson, Linjun Li, Fei Liu, Ahmed Hussain Qureshi, Michael C. Yip:
Dynamically Constrained Motion Planning Networks for Non-Holonomic Robots. CoRR abs/2008.05112 (2020) - [i13]Ahmed Hussain Qureshi, Jiangeng Dong, Asfiya Baig, Michael C. Yip:
Constrained Motion Planning Networks X. CoRR abs/2010.08707 (2020)
2010 – 2019
- 2019
- [c12]Ahmed Hussain Qureshi, Byron Boots, Michael C. Yip:
Adversarial Imitation via Variational Inverse Reinforcement Learning. ICLR (Poster) 2019 - [c11]Ahmed Hussain Qureshi, Anthony Simeonov, Mayur J. Bency, Michael C. Yip:
Motion Planning Networks. ICRA 2019: 2118-2124 - [c10]Mayur J. Bency, Ahmed Hussain Qureshi, Michael C. Yip:
Neural Path Planning: Fixed Time, Near-Optimal Path Generation via Oracle Imitation. IROS 2019: 3965-3972 - [i12]Mayur J. Bency, Ahmed Hussain Qureshi, Michael C. Yip:
Neural Path Planning: Fixed Time, Near-Optimal Path Generation via Oracle Imitation. CoRR abs/1904.11102 (2019) - [i11]Ahmed Hussain Qureshi, Jacob J. Johnson, Yuzhe Qin, Byron Boots, Michael C. Yip:
Composing Ensembles of Policies with Deep Reinforcement Learning. CoRR abs/1905.10681 (2019) - [i10]Ahmed Hussain Qureshi, Yinglong Miao, Anthony Simeonov, Michael C. Yip:
Motion Planning Networks: Bridging the Gap Between Learning-based and Classical Motion Planners. CoRR abs/1907.06013 (2019) - 2018
- [j4]Ahmed Hussain Qureshi, Yutaka Nakamura, Yuichiro Yoshikawa, Hiroshi Ishiguro:
Intrinsically motivated reinforcement learning for human-robot interaction in the real-world. Neural Networks 107: 23-33 (2018) - [j3]Zaid Tahir, Ahmed Hussain Qureshi, Yasar Ayaz, Raheel Nawaz:
Potentially guided bidirectionalized RRT* for fast optimal path planning in cluttered environments. Robotics Auton. Syst. 108: 13-27 (2018) - [c9]Ahmed Hussain Qureshi, Zaid Tahir, Guliafshan Tariq, Yasar Ayaz:
Re-planning Using Delaunay Triangulation for Real Time Motion Planning in Complex Dynamic Environments. AIM 2018: 905-911 - [c8]Ahmed Hussain Qureshi, Michael C. Yip:
Deeply Informed Neural Sampling for Robot Motion Planning. IROS 2018: 6582-6588 - [i9]Ahmed Hussain Qureshi, Yutaka Nakamura, Yuichiro Yoshikawa, Hiroshi Ishiguro:
Intrinsically motivated reinforcement learning for human-robot interaction in the real-world. CoRR abs/1804.05259 (2018) - [i8]Ahmed Hussain Qureshi, Mayur J. Bency, Michael C. Yip:
Motion Planning Networks. CoRR abs/1806.05767 (2018) - [i7]Zaid Tahir, Ahmed Hussain Qureshi, Yasar Ayaz, Raheel Nawaz:
Potentially Guided Bidirectionalized RRT* for Fast Optimal Path Planning in Cluttered Environments. CoRR abs/1807.08325 (2018) - [i6]Ahmed Hussain Qureshi, Michael C. Yip:
Adversarial Imitation via Variational Inverse Reinforcement Learning. CoRR abs/1809.06404 (2018) - [i5]Ahmed Hussain Qureshi, Michael C. Yip:
Deeply Informed Neural Sampling for Robot Motion Planning. CoRR abs/1809.10252 (2018) - 2017
- [c7]Ahmed Hussain Qureshi, Yutaka Nakamura, Yuichiro Yoshikawa, Hiroshi Ishiguro:
Show, attend and interact: Perceivable human-robot social interaction through neural attention Q-network. ICRA 2017: 1639-1645 - [i4]Ahmed Hussain Qureshi, Yutaka Nakamura, Yuichiro Yoshikawa, Hiroshi Ishiguro:
Robot gains Social Intelligence through Multimodal Deep Reinforcement Learning. CoRR abs/1702.07492 (2017) - [i3]Ahmed Hussain Qureshi, Yutaka Nakamura, Yuichiro Yoshikawa, Hiroshi Ishiguro:
Show, Attend and Interact: Perceivable Human-Robot Social Interaction through Neural Attention Q-Network. CoRR abs/1702.08626 (2017) - [i2]Ahmed Hussain Qureshi, Yasar Ayaz:
Intelligent bidirectional rapidly-exploring random trees for optimal motion planning in complex cluttered environments. CoRR abs/1703.08944 (2017) - [i1]Ahmed Hussain Qureshi, Yasar Ayaz:
Potential Functions based Sampling Heuristic For Optimal Path Planning. CoRR abs/1704.00264 (2017) - 2016
- [j2]Ahmed Hussain Qureshi, Yasar Ayaz:
Potential functions based sampling heuristic for optimal path planning. Auton. Robots 40(6): 1079-1093 (2016) - [c6]Ahmed Hussain Qureshi, Yutaka Nakamura, Yuichiro Yoshikawa, Hiroshi Ishiguro:
Robot gains social intelligence through multimodal deep reinforcement learning. Humanoids 2016: 745-751 - 2015
- [j1]Ahmed Hussain Qureshi, Yasar Ayaz:
Intelligent bidirectional rapidly-exploring random trees for optimal motion planning in complex cluttered environments. Robotics Auton. Syst. 68: 1-11 (2015) - 2014
- [c5]Ahmed Hussain Qureshi, Saba Mumtaz, Khawaja Fahad Iqbal, Yasar Ayaz, Mannan Saeed Muhammad, Osman Hasan, Whoi-Yul Kim, Moonsoo Ra:
Triangular geometry based optimal motion planning using RRT*-motion planner. AMC 2014: 380-385 - [c4]Ahmed Hussain Qureshi, Saba Mumtaz, Wajeeha Khan, Abdul Ahad Ashfaq Sheikh, Khawaja Fahad Iqbal, Yasar Ayaz, Osman Hasan:
Augmenting RRT∗-planner with local trees for motion planning in complex dynamic environments. MMAR 2014: 657-662 - 2013
- [c3]Syeda Madiha Qamar, Khawaja Fahad Iqbal, Ahmed Hussain Qureshi, Muhammad Naveed, Yasar Ayaz, Abdul Ghafoor Abbasi:
A solution to Perceptual Aliasing through Probabilistic Fuzzy Logic and SIFT. AIM 2013: 1393-1398 - [c2]Ahmed Hussain Qureshi, Saba Mumtaz, Khawaja Fahad Iqbal, Badar Ali, Yasar Ayaz, Faizan Ahmed, Saeed Muhammad Mannan, Osman Hasan, Whoi-Yul Kim, Moonsoo Ra:
Adaptive Potential guided directional-RRT. ROBIO 2013: 1887-1892 - [c1]Badar Ali, Ahmed Hussain Qureshi, Khawaja Fahad Iqbal, Yasar Ayaz, Syed Omer Gilani, Mohsin Jamil, Muhammad Naveed, Faizan Ahmed, Mannan Saeed Muhammad, Whoi-Yul Kim, Moonsoo Ra:
Human tracking by a mobile robot using 3D features. ROBIO 2013: 2464-2469
Coauthor Index
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