Ahmed H. Qureshi
Orcid: 0000-0003-2104-2333Affiliations:
- Purdue University, Department of Computer Science, West Lafayette, IN, USA
- University of California San Diego, Department of Electrical and Computer Engineering, CA, USA (PhD 2021)
- Osaka University, Japan (former)
According to our database1,
Ahmed H. Qureshi
authored at least 50 papers
between 2013 and 2024.
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Bibliography
2024
Co-learning Planning and Control Policies Constrained by Differentiable Logic Specifications.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Neural Rearrangement Planning for Object Retrieval from Confined Spaces Perceivable by Robot's In-hand RGB-D Sensor.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
SIMMF: Semantics-aware Interactive Multiagent Motion Forecasting for Autonomous Vehicle Driving.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Zero-Shot Constrained Motion Planning Transformers Using Learned Sampling Dictionaries.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Language-guided Active Sensing of Confined, Cluttered Environments via Object Rearrangement Planning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
2023
Learning Sampling Dictionaries for Efficient and Generalizable Robot Motion Planning With Transformers.
IEEE Robotics Autom. Lett., December, 2023
MANER: Multi-Agent Neural Rearrangement Planning of Objects in Cluttered Environments.
IEEE Robotics Autom. Lett., December, 2023
DeRi-Bot: Learning to Collaboratively Manipulate Rigid Objects via Deformable Objects.
IEEE Robotics Autom. Lett., October, 2023
IEEE Trans. Robotics, August, 2023
AnyPose: Anytime 3D Human Pose Forecasting via Neural Ordinary Differential Equations.
CoRR, 2023
CoRR, 2023
Multi-Stage Monte Carlo Tree Search for Non-Monotone Object Rearrangement Planning in Narrow Confined Environments.
CoRR, 2023
Co-learning Planning and Control Policies Using Differentiable Formal Task Constraints.
CoRR, 2023
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023
Control Transformer: Robot Navigation in Unknown Environments Through PRM-Guided Return-Conditioned Sequence Modeling.
IROS, 2023
Efficient Q-Learning over Visit Frequency Maps for Multi-Agent Exploration of Unknown Environments.
IROS, 2023
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Structural Concept Learning via Graph Attention for Multi-Level Rearrangement Planning.
Proceedings of the Conference on Robot Learning, 2023
2022
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
2021
Motion Planning Networks: Bridging the Gap Between Learning-Based and Classical Motion Planners.
IEEE Trans. Robotics, 2021
MPC-MPNet: Model-Predictive Motion Planning Networks for Fast, Near-Optimal Planning Under Kinodynamic Constraints.
IEEE Robotics Autom. Lett., 2021
Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021
2020
IEEE Robotics Autom. Lett., 2020
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
2019
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019
Proceedings of the International Conference on Robotics and Automation, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
2018
Potentially guided bidirectionalized RRT* for fast optimal path planning in cluttered environments.
Robotics Auton. Syst., 2018
Intrinsically motivated reinforcement learning for human-robot interaction in the real-world.
Neural Networks, 2018
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018
Re-planning Using Delaunay Triangulation for Real Time Motion Planning in Complex Dynamic Environments.
Proceedings of the 2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2018
2017
Show, attend and interact: Perceivable human-robot social interaction through neural attention Q-network.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017
2016
Auton. Robots, 2016
Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016
2015
Intelligent bidirectional rapidly-exploring random trees for optimal motion planning in complex cluttered environments.
Robotics Auton. Syst., 2015
2014
Augmenting RRT∗-planner with local trees for motion planning in complex dynamic environments.
Proceedings of the 19th International Conference On Methods and Models in Automation and Robotics, 2014
Proceedings of the IEEE 13th International Workshop on Advanced Motion Control, 2014
2013
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2013
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2013
Proceedings of the 2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2013