Search Results for author: Sarah Aguasvivas Manzano

Found 3 papers, 1 papers with code

Toward smart composites: small-scale, untethered prediction and control for soft sensor/actuator systems

no code implementations22 May 2022 Sarah Aguasvivas Manzano, Vani Sundaram, Artemis Xu, Khoi Ly, Mark Rentschler, Robert Shepherd, Nikolaus Correll

We then study experimental results on two experimental rigs with different sensing, actuation and computational hardware: a tendon-based platform with embedded LightLace sensors and a HASEL-based platform with magnetic sensors.

Model Predictive Control

High-bandwidth nonlinear control for soft actuators with recursive network models

no code implementations4 Jan 2021 Sarah Aguasvivas Manzano, Patricia Xu, Khoi Ly, Robert Shepherd, Nikolaus Correll

We present a high-bandwidth, lightweight, and nonlinear output tracking technique for soft actuators that combines parsimonious recursive layers for forward output predictions and online optimization using Newton-Raphson.

Vocal Bursts Intensity Prediction

Embedded Neural Networks for Robot Autonomy

1 code implementation10 Nov 2019 Sarah Aguasvivas Manzano, Dana Hughes, Cooper Simpson, Radhen Patel, Nikolaus Correll

We present a library to automatically embed signal processing and neural network predictions into the material robots are made of.

General Classification

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