204 citations · 341 across the 5 of their papers we have counts for
5 papers
Data-driven Kinematic Modeling in Soft Robots: System Identification and Uncertainty Quantification
Zhanhong Jiang, Dylan Shah, Hsin-Jung Yang +1
Precise kinematic modeling is critical in calibration and controller design for soft robots, yet remains a challenging issue due to their highly nonlinear and complex behaviors. To…
Stretchable Arduinos embedded in soft robots
Stephanie J. Woodman, Dylan S. Shah, Melanie Landesberg +2
To achieve real-world functionality, robots must have the ability to carry out decision-making computations. However, soft robots stretch and therefore need a solution other than r…
A soft robot that adapts to environments through shape change
Dylan S. Shah, Joshua P. Powers, Liana G. Tilton +3
Many organisms, including various species of spiders and caterpillars, change their shape to switch gaits and adapt to different environments. Recent technological advances, rangin…
Scalable sim-to-real transfer of soft robot designs
Sam Kriegman, Amir Mohammadi Nasab, Dylan Shah +5
The manual design of soft robots and their controllers is notoriously challenging, but it could be augmented---or, in some cases, entirely replaced---by automated design tools. Mac…
Automated shapeshifting for function recovery in damaged robots
Sam Kriegman, Stephanie Walker, Dylan Shah +3
A robot's mechanical parts routinely wear out from normal functioning and can be lost to injury. For autonomous robots operating in isolated or hostile environments, repair from a…