5 citations · 6 across the 4 of their papers we have counts for
6 papers
Self-Deployable, Adaptive Soft Robots Based on Contracting-Cord Particle Jamming
Wenzhong Yan, Brian Ye, Mingxi Li +2
We developed a new class of soft locomotive robots that can self-assemble into a preprogrammed configuration and vary their stiffness afterward in a highly integrated, compact body…
A crawling robot driven by a folded self-sustained oscillator
Wenzhong Yan, Ankur Mehta
Locomotive robots that do not rely on electronics and/or electromagnetic components will open up new perspectives and applications for robotics. However, these robots usually invol…
A Computational Design and Evaluation Tool for 3D Structures with Planar Surfaces
Chang Liu, Wenzhong Yan, Pehuen Moure +2
Three dimensional (3D) structures composed of planar surfaces can be build out of accessible materials using easier fabrication technique with shorter fabrication time. To better d…
Computational Design and Fabrication of Corrugated Mechanisms from Behavioral Specifications
Chang Liu, Wenzhong Yan, Ankur Mehta
Orthogonally assembled double-layered corrugated (OADLC) mechanisms are a class of foldable structures that harness origami-inspired methods to enhance the structural stiffness of…
Towards One-Dollar Robots: An Integrated Design and Fabrication Strategy for Electromechanical Systems
Wenzhong Yan, Ankur Mehta
To improve the accessibility of robotics, we propose a design and fabrication strategy to build low-cost electromechanical systems for robotic devices. Our method, based on origami…
Graph Neural Network for Large-Scale Network Localization
Wenzhong Yan, Di Jin, Zhidi Lin +1
Graph neural networks (GNNs) are popular to use for classifying structured data in the context of machine learning. But surprisingly, they are rarely applied to regression problems…