Miniaturized Circuitry for Capacitive Self-sensing and Closed-loop Control of Soft Electrostatic Transducers
September 15, 2020 Β· Declared Dead Β· π Soft Robotics
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Khoi Ly, Nicholas Kellaris, Dade McMorris, Brian K. Johnson, Eric Acome, Vani Sundaram, Mantas Naris, J. Sean Humbert, Mark E. Rentschler, Christoph Keplinger, Nikolaus Correll
arXiv ID
2009.06852
Category
physics.app-ph
Cross-listed
cs.RO
Citations
30
Venue
Soft Robotics
Last Checked
3 months ago
Abstract
Soft robotics is a field of robotic system design characterized by materials and structures that exhibit large-scale deformation, high compliance, and rich multifunctionality. The incorporation of soft and deformable structures endows soft robotic systems with the compliance and resiliency that makes them well-adapted for unstructured and dynamic environments. While actuation mechanisms for soft robots vary widely, soft electrostatic transducers such as dielectric elastomer actuators (DEAs) and hydraulically amplified self-healing electrostatic (HASEL) actuators have demonstrated promise due to their muscle-like performance and capacitive self-sensing capabilities. Despite previous efforts to implement self-sensing in electrostatic transducers by overlaying sinusoidal low-voltage signals, these designs still require sensing high-voltage signals, requiring bulky components that prevent integration with miniature, untethered soft robots. We present a circuit design that eliminates the need for any high-voltage sensing components, thereby facilitating the design of simple, low cost circuits using off-the-shelf components. Using this circuit, we perform simultaneous sensing and actuation for a range of electrostatic transducers including circular DEAs and HASEL actuators and demonstrate accurate estimated displacements with errors under 4%. We further develop this circuit into a compact and portable system that couples HV actuation, sensing, and computation as a prototype towards untethered, multifunctional soft robotic systems. Finally, we demonstrate the capabilities of our self-sensing design through feedback-control of a robotic arm powered by Peano-HASEL actuators.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β physics.app-ph
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
Autonomous discovery of battery electrolytes with robotic experimentation and machine-learning
R.I.P.
π»
Ghosted
Harnessing The Multi-Stability Of Kresling Origami For Reconfigurable Articulation In Soft Robotic Arms
R.I.P.
π»
Ghosted
Deep learning for size-agnostic inverse design of random-network 3D printed mechanical metamaterials
R.I.P.
π»
Ghosted
Suction-based Soft Robotic Gripping of Rough and Irregular Parts
R.I.P.
π»
Ghosted
On-chip learning for domain wall synapse based Fully Connected Neural Network
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted