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Emily A. Kamienski

3 accepted papers

2025

Design and Experimental Validation of Woodwork-Inspired Soft Pneumatic Grippers

ICRA 2025

This paper presents a novel design concept of a pair of soft gripper hands that can establish a secure connection between them for bearing a large load with a low air pressure. The design was inspired by dovetail joints in carpentry that enable a tight, strong connection between two pieces of wood.

Cited by 0SourceScholar
2024

A Monte Carlo Approach to Koopman Direct Encoding and Its Application to the Learning of Neural-Network Observables

RA-L 2024

This letter presents a computational method, called Bootstrapped Koopman Direct Encoding (B-KDE) that allows us to approximate the Koopman operator with high accuracy by combining Koopman Direct Encoding (KDE) with a deep neural network. Deep learning has been applied to the Koopman operator method

Cited by 8SourceScholar
2024

Model Free Method of Screening Training Data for Adversarial Datapoints Through Local Lipschitz Quotient Analysis

RA-L 2024

It is often challenging to pick suitable data features for learning problems. Sometimes certain regions of the data are harder to learn because they are not well characterized by the selected data features. The challenge is amplified when resources for sensing and computation are limited and time-cr

Cited by 2SourceScholar