no code implementations • 22 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.
no code implementations • 4 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.
1 code implementation • 10 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.