Ahmed H. Qureshi

Orcid: 0000-0003-2104-2333

Affiliations:
  • 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 48 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Neural Rearrangement Planning for Object Retrieval from Confined Spaces Perceivable by Robot's In-hand RGB-D Sensor.
CoRR, 2024

Language-guided Active Sensing of Confined, Cluttered Environments via Object Rearrangement Planning.
CoRR, 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

Robot Active Neural Sensing and Planning in Unknown Cluttered Environments.
IEEE Trans. Robotics, August, 2023

Zero-Shot Constrained Motion Planning Transformers Using Learned Sampling Dictionaries.
CoRR, 2023

DeRi-IGP: Manipulating Rigid Objects Using Deformable Objects via Iterative Grasp-Pull.
CoRR, 2023

AnyPose: Anytime 3D Human Pose Forecasting via Neural Ordinary Differential Equations.
CoRR, 2023

SIMF: Semantics-aware Interactive Motion Forecasting for Autonomous Driving.
CoRR, 2023

Multi-Stage Monte Carlo Tree Search for Non-Monotone Object Rearrangement Planning in Narrow Confined Environments.
CoRR, 2023

Merging Decision Transformers: Weight Averaging for Forming Multi-Task Policies.
CoRR, 2023

Co-learning Planning and Control Policies Using Differentiable Formal Task Constraints.
CoRR, 2023

Progressive Learning for Physics-informed Neural Motion Planning.
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

CoGrasp: 6-DoF Grasp Generation for Human-Robot Collaboration.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

NTFields: Neural Time Fields for Physics-Informed Robot Motion Planning.
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
Constrained Motion Planning Networks X.
IEEE Trans. Robotics, 2022

Co-design of Embodied Neural Intelligence via Constrained Evolution.
CoRR, 2022

Model-free Neural Lyapunov Control for Safe Robot Navigation.
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

Motion Planning Transformers: One Model to Plan Them All.
CoRR, 2021

NeRP: Neural Rearrangement Planning for Unknown Objects.
Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

2020
Neural Manipulation Planning on Constraint Manifolds.
IEEE Robotics Autom. Lett., 2020

Dynamically Constrained Motion Planning Networks for Non-Holonomic Robots.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Composing Task-Agnostic Policies with Deep Reinforcement Learning.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Composing Ensembles of Policies with Deep Reinforcement Learning.
CoRR, 2019

Neural Path Planning: Fixed Time, Near-Optimal Path Generation via Oracle Imitation.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Motion Planning Networks.
Proceedings of the International Conference on Robotics and Automation, 2019

Adversarial Imitation via Variational Inverse Reinforcement Learning.
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

Adversarial Imitation via Variational Inverse Reinforcement Learning.
CoRR, 2018

Motion Planning Networks.
CoRR, 2018

Deeply Informed Neural Sampling for Robot Motion Planning.
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
Potential functions based sampling heuristic for optimal path planning.
Auton. Robots, 2016

Robot gains social intelligence through multimodal deep reinforcement learning.
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

Triangular geometry based optimal motion planning using RRT*-motion planner.
Proceedings of the IEEE 13th International Workshop on Advanced Motion Control, 2014

2013
Adaptive Potential guided directional-RRT.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2013

Human tracking by a mobile robot using 3D features.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2013

A solution to Perceptual Aliasing through Probabilistic Fuzzy Logic and SIFT.
Proceedings of the 2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2013


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