5 citations · 8 across the 6 of their papers we have counts for
7 papers · 1 filter
Object Recognition and Force Estimation with the GelSight Baby Fin Ray
Sandra Q. Liu, Yuxiang Ma, Edward H. Adelson
Recent advances in soft robotic hands and tactile sensing have enabled both to perform an increasing number of complex tasks with the aid of machine learning. In particular, we pre…
A Passively Bendable, Compliant Tactile Palm with RObotic Modular Endoskeleton Optical (ROMEO) Fingers
Sandra Q. Liu, Edward H. Adelson
Many robotic hands currently rely on extremely dexterous robotic fingers and a thumb joint to envelop themselves around an object. Few hands focus on the palm even though human han…
Scalable, Simulation-Guided Compliant Tactile Finger Design
Yuxiang Ma, Arpit Agarwal, Sandra Q. Liu +2
Compliant grippers enable robots to work with humans in unstructured environments. In general, these grippers can improve with tactile sensing to estimate the state of objects arou…
GelSight EndoFlex: A Soft Endoskeleton Hand with Continuous High-Resolution Tactile Sensing
Sandra Q. Liu, Leonardo Zamora Yañez, Edward H. Adelson
We describe a novel three-finger robot hand that has high resolution tactile sensing along the entire length of each finger. The fingers are compliant, constructed with a soft shel…
GelSight Baby Fin Ray: A Compact, Compliant, Flexible Finger with High-Resolution Tactile Sensing
Sandra Q. Liu, Yuxiang Ma, Edward H. Adelson
The synthesis of tactile sensing with compliance is essential to many fields, from agricultural usages like fruit picking, to sustainability practices such as sorting recycling, to…
GelSight Fin Ray: Incorporating Tactile Sensing into a Soft Compliant Robotic Gripper
Sandra Q. Liu, Edward H. Adelson
To adapt to constantly changing environments and be safe for human interaction, robots should have compliant and soft characteristics as well as the ability to sense the world arou…