Wan Shou

Assistant Professor

University of Arkansas at Fayetteville

United States

Research Interests

Explore related searches

Professors in United States

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Dr. Wan Shou is an Assistant Professor at the University of Arkansas at Fayetteville, United States. His research focuses on innovative techniques in robotics and sensor technology, evident from recent publications including topics such as tactile representation, hydrogel sensors, and the exploration of modular robots. Dr. Shou's work emphasizes practical applications in fields such as deep learning, motion detection, and environmental adaptability.

Articles (15)

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Collaborators (5)

Kun Kelvin Fu

UNITED STATES

View details

Dongyi Wang

Assistant Professor

University of Arkansas

UNITED STATES

View details

Phil Crandall

Professor

University of Arkansas

UNITED STATES

View details

Mina Konakovic Lukovic

Tenure-track Professor

Massachusetts Institute of Technology

UNITED STATES

View details

Yu She

Purdue University

UNITED STATES

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Wan Shou

Research Interests

Explore related searches

Contact this professor

About

Articles (15)

PNIPAA-based temperature responsive ionic conductive hydrogels for flexible strain and temperature sensing

Cost-Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation in Poultry Processing

UniT: Data Efficient Tactile Representation With Generalization to Unseen Objects

Modular Self-Reconfigurable Continuum Robot for General Purpose Loco-Manipulation

A multifunctional flexible wearable hydrogel sensor with anti-swelling via supramolecular interactions for underwater motion detection and information transmission

Desktop-scale robot tape manipulation for additive manufacturing

Scalable Fabric‐Based Solar Steam Generator

Computational discovery of microstructured composites with optimal stiffness-toughness trade-offs

Ultra-stretchable and anti-freezing ionic conductive hydrogels as high performance strain sensors and flexible triboelectric nanogenerator in extreme environments

Cold-resistant, highly stretchable ionic conductive hydrogels for intelligent motion recognition in winter sports

Mesoscopic segregation in H13 steel molten pool during laser remelting: A combined influence of Marangoni convection and oxidation

3D printing of polymer composites: Materials, processes, and applications

Self-powered sensing systems with learning capability

Accelerated discovery of 3D printing materials using data-driven multiobjective optimization

Publisher Correction: Learning human–environment interactions using conformal tactile textiles

Collaborators (5)

Kun Kelvin Fu

Dongyi Wang

Phil Crandall

Mina Konakovic Lukovic

Yu She

Make your next move.