activity
20072024
most citedControl Barrier Function Based Quadratic Programs for Safety Critical Systems

2.5k citations · 4.4k across the 142 of their papers we have counts for

collaborators

158 papers

eess.SY2024★ 13 cited

A Constructive Method for Designing Safe Multirate Controllers for Differentially-Flat Systems

Devansh R. Agrawal, Hardik Parwana, Ryan K. Cosner +3

We present a multi-rate control architecture that leverages fundamental properties of differential flatness to synthesize controllers for safety-critical nonlinear dynamical system…

cs.RO2023★ 1 cited

Multi-Domain Walking with Reduced-Order Models of Locomotion

Min Dai, Jaemin Lee, Aaron D. Ames

Drawing inspiration from human multi-domain walking, this work presents a novel reduced-order model based framework for realizing multi-domain robotic walking. At the core of our a…

cs.RO2023

Synthesizing Robust Walking Gaits via Discrete-Time Barrier Functions with Application to Multi-Contact Exoskeleton Locomotion

Maegan Tucker, Kejun Li, Aaron D. Ames

Successfully achieving bipedal locomotion remains challenging due to real-world factors such as model uncertainty, random disturbances, and imperfect state estimation. In this work…

cs.RO2023

PONG: Probabilistic Object Normals for Grasping via Analytic Bounds on Force Closure Probability

Albert H. Li, Preston Culbertson, Aaron D. Ames

Classical approaches to grasp planning are deterministic, requiring perfect knowledge of an object's pose and geometry. In response, data-driven approaches have emerged that plan g…

eess.SY2023

Characterizing Smooth Safety Filters via the Implicit Function Theorem

Max H. Cohen, Pio Ong, Gilbert Bahati +1

Optimization-based safety filters, such as control barrier function (CBF) based quadratic programs (QPs), have demonstrated success in controlling autonomous systems to achieve com…

eess.SY2023

Composing Control Barrier Functions for Complex Safety Specifications

Tamas G. Molnar, Aaron D. Ames

The increasing complexity of control systems necessitates control laws that guarantee safety w.r.t. complex combinations of constraints. In this letter, we propose a framework to d…