Researcher

Fabio Ramos

Fabio Ramos coauthored DiSECt. DiSECt models a robot cutting soft materials. The team used a finite-element model, continuous contact and a damage model that permits cracks to form. Differentiation lets the system estimate material parameters and optimize a cutting controller. The paper compares simulated forces and deformation with a commercial solver and real cutting data. Fabio Ramos and the DiSECt team received the RSS 2021 Best Student Paper Award.

Works
311
Citations
9,912
h-index
41

Publication numbers from OpenAlex, as of 14 October 2026.

Photo of Fabio Ramos

Timeline

  1. 2021

    DiSECt and soft-material cutting

    Fabio Ramos coauthored DiSECt. DiSECt models a robot cutting soft materials. The team used a finite-element model, continuous contact and a damage model that permits cracks to form. Differentiation lets the system estimate material parameters and optimize a cutting controller. The paper compares simulated forces and deformation with a commercial solver and real cutting data.

  2. 2021

    Conference recognition

    The DiSECt team, including Fabio Ramos, received the RSS 2021 Best Student Paper Award.

Sources and credits

Photo: fabioramos.github.io; Homepage Fabio Ramos; creator not stated. License: Not stated by source. Source: fabioramos.github.io. Cropped to a square and resized. Ask us to remove or replace this photo.

  1. DiSECt: A Differentiable Simulation Engine for Autonomous Robotic Cutting · Robotics: Science and Systems roboticsconference.org. Checked 13 October 2026.
  2. Awards · Robotics: Science and Systems roboticsconference.org. Checked 13 October 2026.