3 citations · 3 across the 4 of their papers we have counts for
4 papers · 1 filter
Zero-shot Whole-Body Manipulation with a Large-Scale Soft Robotic Torso via Guided Reinforcement Learning
Curtis C. Johnson, Carlo Alessi, Egidio Falotico +1
Whole-body manipulation is a powerful yet underexplored approach that enables robots to interact with large, heavy, or awkward objects using more than just their end-effectors. Sof…
Scaling Fabric-Based Piezoresistive Sensor Arrays for Whole-Body Tactile Sensing
Curtis C. Johnson, Daniel Webb, David Hill +1
Scaling tactile sensing for robust whole-body manipulation is a significant challenge, often limited by wiring complexity, data throughput, and system reliability. This paper prese…
PneuDrive: An Embedded Pressure Control System and Modeling Toolkit for Large-Scale Soft Robots
Curtis C. Johnson, Daniel G. Cheney, Dallin L. Cordon +1
In this paper, we present a modular pressure control system called PneuDrive that can be used for large-scale, pneumatically-actuated soft robots. The design is particularly suited…
Learning Dynamic Tasks on a Large-scale Soft Robot in a Handful of Trials
Sicelukwanda Zwane, Daniel Cheney, Curtis C. Johnson +4
Soft robots offer more flexibility, compliance, and adaptability than traditional rigid robots. They are also typically lighter and cheaper to manufacture. However, their use in re…