collaborators

7 papers

cs.RO2025

A New Type of Axis-Angle Attitude Control Law for Rotational Systems: Synthesis, Analysis, and Experiments

Francisco M. F. R. Gonçalves, Ryan M. Bena, Néstor O. Pérez-Arancibia

Over the past few decades, continuous quaternion-based attitude control has been proven highly effective for driving rotational systems that can be modeled as rigid bodies, such as…

cs.RO2025

Risk-Aware Safety Filters with Poisson Safety Functions and Laplace Guidance Fields

Gilbert Bahati, Ryan M. Bena, Meg Wilkinson +3

Robotic systems navigating in real-world settings require a semantic understanding of their environment to properly determine safe actions. This work aims to develop the mathematic…

eess.SY2025

Matrix Control Barrier Functions

Pio Ong, Yicheng Xu, Ryan M. Bena +2

This paper generalizes the control barrier function framework by replacing scalar-valued functions with matrix-valued ones. Specifically, we develop barrier conditions for safe set…

cs.RO2025

Geometry-Aware Predictive Safety Filters on Humanoids: From Poisson Safety Functions to CBF Constrained MPC

Ryan M. Bena, Gilbert Bahati, Blake Werner +3

Autonomous navigation through unstructured and dynamically-changing environments is a complex task that continues to present many challenges for modern roboticists. In particular,…

eess.SY2025

Safe Navigation under State Uncertainty: Online Adaptation for Robust Control Barrier Functions

Ersin Das, Rahal Nanayakkara, Xiao Tan +4

Measurements and state estimates are often imperfect in control practice, posing challenges for safety-critical applications, where safety guarantees rely on accurate state informa…

cs.RO2025

Dynamic Safety in Complex Environments: Synthesizing Safety Filters with Poisson's Equation

Gilbert Bahati, Ryan M. Bena, Aaron D. Ames

Synthesizing safe sets for robotic systems operating in complex and dynamically changing environments is a challenging problem. Solving this problem can enable the construction of…