Andrew P. Sabelhaus

Investigator's Profile

Koopman in the Field: Feedback, Teaching, and Adaptation for Real World Mechanical Systems

Teaching autonomous machines to perform complex tasks currently requires advanced expertise in mechanical systems and specialized algorithms, making these technologies inaccessible to many. This limits who can use them, where they can be deployed, and how effectively they operate over time. Emerging technologies such as soft robots are inexpensive, easy to deploy, and hold great […]

Collaborative Research: Elements: Discrete Simulation of Flexible Structures and Soft Robots

From carbon nanotubes to human-size soft robots, flexible and deformable structures are present throughout the next generation of promising engineering disciplines. However, simulation of these mechanical systems is often slow, and simulation software is challenging to use. In addition, there is little support for simulating flexible structures in common robotics research and education software, limiting […]