Ahmed H. Qureshi

Ahmed H. Qureshi

University of California, San Diego

H-index: 19

North America-United States

About Ahmed H. Qureshi

Ahmed H. Qureshi, With an exceptional h-index of 19 and a recent h-index of 18 (since 2020), a distinguished researcher at University of California, San Diego, specializes in the field of Robotics, Machine Learning, Computer Vision, Reinforcement Learning, Control.

His recent articles reflect a diverse array of research interests and contributions to the field:

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

Evolution-based Shape and Behavior Co-design of Virtual Agents

Physics-informed Neural Motion Planning on Constraint Manifolds

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

Robot active neural sensing and planning in unknown cluttered environments

Efficient Q-Learning over Visit Frequency Maps for Multi-Agent Exploration of Unknown Environments

DeRi-Bot: Learning to collaboratively manipulate rigid objects via deformable objects

Merging decision transformers: Weight averaging for forming multi-task policies

Ahmed H. Qureshi Information

University

Position

___

Citations(all)

1798

Citations(since 2020)

1645

Cited By

588

hIndex(all)

19

hIndex(since 2020)

18

i10Index(all)

22

i10Index(since 2020)

22

Email

University Profile Page

University of California, San Diego

Google Scholar

View Google Scholar Profile

Ahmed H. Qureshi Skills & Research Interests

Robotics

Machine Learning

Computer Vision

Reinforcement Learning

Control

Top articles of Ahmed H. Qureshi

Title

Journal

Author(s)

Publication Date

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

arXiv preprint arXiv:2402.02308

Weihan Chen

Hanwen Ren

Ahmed H Qureshi

2024/2/4

Evolution-based Shape and Behavior Co-design of Virtual Agents

IEEE Transactions on Visualization and Computer Graphics

Zhiquan Wang

Bedrich Benes

Ahmed H Qureshi

Christos Mousas

2024/1/18

Physics-informed Neural Motion Planning on Constraint Manifolds

arXiv preprint arXiv:2403.05765

Ruiqi Ni

Ahmed H Qureshi

2024/3/9

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

arXiv preprint arXiv:2402.06976

Hanwen Ren

Ahmed H Qureshi

2024/2/10

Robot active neural sensing and planning in unknown cluttered environments

IEEE Transactions on Robotics

Hanwen Ren

Ahmed H Qureshi

2023/4/12

Efficient Q-Learning over Visit Frequency Maps for Multi-Agent Exploration of Unknown Environments

Xuyang Chen

Ashvin N Iyer

Zixing Wang

Ahmed H Qureshi

2023/10/1

DeRi-Bot: Learning to collaboratively manipulate rigid objects via deformable objects

IEEE Robotics and Automation Letters

Zixing Wang

Ahmed H Qureshi

2023/8/21

Merging decision transformers: Weight averaging for forming multi-task policies

arXiv preprint arXiv:2303.07551

Daniel Lawson

Ahmed H Qureshi

2023/3/14

Control Transformer: Robot Navigation in Unknown Environments through PRM-Guided Return-Conditioned Sequence Modeling

Daniel Lawson

Ahmed H Qureshi

2023/10/1

SIMF: Semantics-aware Interactive Motion Forecasting for Autonomous Driving

arXiv preprint arXiv:2306.14941

Vidyaa Krishnan Nivash

Ahmed H Qureshi

2023/6/26

Co-learning Planning and Control Policies Constrained by Differentiable Logic Specifications

arXiv preprint arXiv:2303.01346

Zikang Xiong

Daniel Lawson

Joe Eappen

Ahmed H Qureshi

Suresh Jagannathan

2023/3/2

Structural concept learning via graph attention for multi-level rearrangement planning

Manav Kulshrestha

Ahmed H Qureshi

2023/12/2

Progressive learning for physics-informed neural motion planning

arXiv preprint arXiv:2306.00616

Ruiqi Ni

Ahmed H Qureshi

2023/6/1

Zero-Shot Constrained Motion Planning Transformers Using Learned Sampling Dictionaries

arXiv preprint arXiv:2309.15272

Jacob J Johnson

Ahmed H Qureshi

Michael C Yip

2023/9/26

Co-learning Planning and Control Policies Using Differentiable Formal Task Constraints

arXiv e-prints

Zikang Xiong

Joe Eappen

Daniel Lawson

Ahmed H Qureshi

Suresh Jagannathan

2023/3

Cograsp: 6-DoF grasp generation for human-robot collaboration

Abhinav K Keshari

Hanwen Ren

Ahmed H Qureshi

2023/5/29

MANER: Multi-Agent Neural Rearrangement Planning of Objects in Cluttered Environments

IEEE Robotics and Automation Letters

Vivek Gupta

Prabhpreet Dhir

Jeegn Dani

Ahmed H Qureshi

2023/10/27

DeRi-IGP: Manipulating Rigid Objects Using Deformable Objects via Iterative Grasp-Pull

arXiv preprint arXiv:2309.04843

Zixing Wang

Ahmed H Qureshi

2023/9/9

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

arXiv preprint arXiv:2305.17175

Hanwen Ren

Ahmed H Qureshi

2023/5/26

Learning sampling dictionaries for efficient and generalizable robot motion planning with transformers

IEEE Robotics and Automation Letters

Jacob J Johnson

Ahmed H Qureshi

Michael C Yip

2023/10/4

See List of Professors in Ahmed H. Qureshi University(University of California, San Diego)

Co-Authors

H-index: 128
Dieter Fox

Dieter Fox

University of Washington

H-index: 93
Hiroshi Ishiguro

Hiroshi Ishiguro

Osaka University

H-index: 45
Byron Boots

Byron Boots

University of Washington

H-index: 33
Michael C. Yip

Michael C. Yip

University of California, San Diego

H-index: 21
Yasar Ayaz

Yasar Ayaz

National University of Sciences and Technology

H-index: 10
Anthony Simeonov

Anthony Simeonov

Massachusetts Institute of Technology

academic-engine