Zixing Wang

Pronounced as Zee-Shing

I am a Ph.D. student at the Department of Computer Science at Purdue University, advised by Prof. Ahmed H. Qureshi. Previously, I received my Master in Robotics and Bachelor in Computer Science from the University of Minnesota, where I worked with Prof. Nikolaos Papanikolopoulos.

I'm broadly interested in robot learning, especially in the areas of generalizable manipulation policies, novel objects manipulation, and robot tool use.

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Updates

[05/2025] The paper "Dynamic Robot Tool Use with Vision Language Models" is accepted by the RSS 2025 R3 Workshop

[04/2025] I will intern at Mitsubishi Electric Research Laboratories (MERL) this summer.

[01/2025] Our paper "Implicit Physics-aware Policy for Dynamic Manipulation of Rigid Objects via Soft Body Tools" is accepted by ICRA 2025.

[01/2025] Our paper "DeRi-IGP: Manipulating Rigid Objects Using Deformable Objects via Iterative Grasp-Pull" is accepted by RA-L.

View Older News

[10/2023] The short paper "DeRi-Bot: Learning to Collaboratively Manipulate Rigid Objects via Deformable Objects" is accepted by CoRL 2023 workshop on L4SR.

[08/2023] The paper "DeRi-Bot: Learning to Collaboratively Manipulate Rigid Objects via Deformable Objects" is accepted by RA-L and will be presented in ICRA 2024.

[06/2023] The paper "Efficient Q-Learning over Visit Frequency Maps for Multi-agent Exploration of Unknown Environments" is accepted by IROS 2023.

Research

Dynamic Robot Tool Use with Vision Language Models

Noah Trupin*, Zixing Wang*, and Ahmed H. Qureshi

RSS 2025 workshop on Reasoning for Robust Robot Manip in the Open World

PDF

Implicit Physics-aware Policy for Dynamic Manipulation of Rigid Objects via Soft Body Tools

Zixing Wang and Ahmed H. Qureshi

ICRA 2025

PDF Video

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

Zixing Wang and Ahmed H. Qureshi

RA-L (2024)

PDF Video

DeRi-Bot: Learning to Collaboratively Manipulate Rigid Objects via Deformable Objects

Zixing Wang and Ahmed H. Qureshi

RA-L (2023) appearing at ICRA 2024
CoRL 2023 workshop on Learning for Soft Robots (Spotlight)

PDF Video

AnyPose: Anytime 3D Human Pose Forecasting via Neural Ordinary Differential Equations

Zixing Wang and Ahmed H. Qureshi

Arxiv 2309.04840

PDF

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

Xuyang Chen*, Ashvin Iyer*, Zixing Wang and Ahmed H. Qureshi (* equal contribution)

IROS 2023

PDF Code Video

Spatial Action Maps Augmented with Visit Frequency Maps for Exploration Tasks

Zixing Wang and Nikolaos Papanikolopoulos

IROS 2021

PDF Code Video

Estimating Pedestrian Crossing State Based on Single 2D Body Pose

Zixing Wang and Nikolaos Papanikolopoulos

IROS 2020

PDF Video

ECO: Egocentric Cognitive Mapping

Jayant Sharma, Zixing Wang, Alberto Speranzon, Vijay Venkataraman and Hyun Soo Park

arxiv 1812.00312

PDF

Education

Purdue University, West Lafayette, IN, USA
Department of Computer Science
Ph.D. Student
Expected 2026
University of Minnesota, Twin Cities, Minneapolis, MN, USA
Minnesota Robotics Institute (MnRI)
Master of Science in Robotics
Degree awarded in Dec. 2021
University of Minnesota, Twin Cities, Minneapolis, MN, USA
Department of Computer Science and Engineering
Bachelor of Arts in Computer Science
Degree awarded in May. 2020

Experiences

Mitsubishi Electric Research Laboratories (MERL)
Cambridge, MA, USA
Research Intern
May. 2024 to Aug. 2024
Image Sensing Systems
Saint Paul, MN, USA
Computer Vision Research Intern
Jan. 2020 to Sep. 2020

Reviewer Service

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
IEEE International Conference on Robotics and Automation (ICRA)
Conference on Robot Learning (CoRL)