activity
20242026
collaborators

8 papers

cs.RO2026

Virtual model control for compliant reaching under uncertainties

Yi Zhang, Daniel Larby, Fumiya Iida +1

Virtual Model Control (VMC) is an approach to design a controller for force-controlled robots in complex uncertain environments. While this method was primarily investigated for le…

cs.RO2026

Grasping by interconnection: robust closing motions from coarse object templates

Julien Vanderheyden, Guillaume Drion, Fulvio Forni +1

Dexterous robot hands must often grasp objects whose shape, size, and pose are known only approximately. Grasp planners typically require accurate object models or correct errors w…

cs.RO2026

Passive iFIR filters for data-driven velocity control in robotics

Yi Zhang, Zixing Wang, Fulvio Forni

We present a passive, data-driven velocity control method for nonlinear robotic manipulators that achieves better tracking performance than optimized PID with comparable design com…

eess.SY2025

Passive Lifted FIR Filters for Nonlinear System Identification

Zixing Wang, Fulvio Forni

Passivity is a fundamental property of physical systems. In data-driven modeling, ensuring that a learned model preserves this structural property is critical to avoiding instabili…

cs.RO2025

Periodic robust robotic rock chop via virtual model control

Yi Zhang, Fumiya Iida, Fulvio Forni

Robotic cutting is a challenging, contact-rich manipulation task where the robot must simultaneously negotiate unknown object mechanics, large contact forces, and precise motion re…

eess.SY2025

Collaborative Drill Alignment in Surgical Robotics

Daniel Larby, Joshua Kershaw, Matthew Allen +1

Robotic assistance allows surgeries to be reliably and accurately executed while still under direct supervision of the surgeon, combining the strengths of robotic technology with t…

eess.SY2024

Dissipative iFIR filters for data-driven design

Zixing Wang, Yi Zhang, Fulvio Forni

We tackle the problem of providing closed-loop stability guarantees with a scalable data-driven design. We combine virtual reference feedback tuning with dissipativity constraints…

cs.RO2024

Optimal Virtual Model Control for Robotics: Design and Tuning of Passivity-Based Controllers

Daniel Larby, Fulvio Forni

Passivity-based control is a cornerstone of control theory and an established design approach in robotics. Its strength is based on the passivity theorem, which provides a powerful…