Hsing-Yu Chen — accepted AI-conference papers

2024

A Modular, Tendon Driven Variable Stiffness Manipulator with Internal Routing for Improved Stability and Increased Payload Capacity

Kyle L. Walker, Alix J. Partridge, Hsing-Yu Chen, Rahul R. Ramachandran, Adam A. Stokes, Kenjiro Tadakuma +2

ICRA 2024poster

Stability and reliable operation under a spectrum of environmental conditions is still an open challenge for soft and continuum style manipulators. The inability to carry sufficient load and effectively reject external disturbances are two drawbacks which limit the scale of continuum designs, preven…

Cited by 1 Source ↗Scholar ↗

2021

B: Ionic Glove: A Soft Smart Wearable Sensory Feedback Device for Upper Limb Robotic Prostheses

Melanie Florine Simons, Krishna Manaswi Digumarti, Nguyen Hao Le, Hsing-Yu Chen, Sara Correia Carreira, Nouf S. S. Zaghloul +5

RA-L 2021

Upper limb robotic prosthetic devices currently lack adequate sensory feedback, contributing to a high rejection rate. Incorporating affective sensory feedback into these devices reduces phantom limb pain and increases control and acceptance. To address the lack of sensory feedback we present the B:

Cited by 29 Source ↗Scholar ↗

2021

Liquid Metal Logic for Soft Robotics

Martin Stephen Garrad, Hsing-Yu Chen, Andrew T. Conn, Helmut Hauser, Jonathan Rossiter

RA-L 2021

While there are many soft matter sensing and actuation technologies, there is far less choice when it comes to soft material devices for control and computation. One solution is the Soft Matter Computer (SMC) which can perform both analogue and digital computations in soft materials. This computer p

Cited by 5 Source ↗Scholar ↗