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20212025
most citedComputational Discovery of Microstructured Composites with Optimal Stiffness-Toughness Trade-Offs

3 citations · 6 across the 6 of their papers we have counts for

collaborators

6 papers

cs.HC2025★ 3 cited

Fits like a Flex-Glove: Automatic Design of Personalized FPCB-Based Tactile Sensing Gloves

Devin Murphy, Yichen Li, Crystal Owens +6

Resistive tactile sensing gloves have captured the interest of researchers spanning diverse domains, such as robotics, healthcare, and human-computer interaction. However, existing…

cs.HC2024

WiReSens Toolkit: An Open-source Platform towards Accessible Wireless Tactile Sensing

Devin Murphy, Junyi Zhu, Paul Pu Liang +2

Past research has widely explored the design and fabrication of resistive matrix-based tactile sensors as a means of creating touch-sensitive devices. However, developing portable,…

cs.RO2023

Enable Natural Tactile Interaction for Robot Dog based on Large-format Distributed Flexible Pressure Sensors

Lishuang Zhan, Yancheng Cao, Qitai Chen +6

Touch is an important channel for human-robot interaction, while it is challenging for robots to recognize human touch accurately and make appropriate responses. In this paper, we…

cond-mat.mtrl-sci2023★ 3 cited

Computational Discovery of Microstructured Composites with Optimal Stiffness-Toughness Trade-Offs

Beichen Li, Bolei Deng, Wan Shou +5

The conflict between stiffness and toughness is a fundamental problem in engineering materials design. However, the systematic discovery of microstructured composites with optimal…

cs.RO2022

An Integrated Design Pipeline for Tactile Sensing Robotic Manipulators

Lara Zlokapa, Yiyue Luo, Jie Xu +4

Traditional robotic manipulator design methods require extensive, time-consuming, and manual trial and error to produce a viable design. During this process, engineers often spend…

cs.RO2021

Dynamic Modeling of Hand-Object Interactions via Tactile Sensing

Qiang Zhang, Yunzhu Li, Yiyue Luo +6

Tactile sensing is critical for humans to perform everyday tasks. While significant progress has been made in analyzing object grasping from vision, it remains unclear how we can u…