activity
20162020
most citedLearning for Safety-Critical Control with Control Barrier Functions

94 citations · 243 across the 18 of their papers we have counts for

collaborators

18 papers

eess.SY2020

Formal Verification of Safety Critical Autonomous Systems via Bayesian Optimization

Prithvi Akella, Ugo Rosolia, Andrew Singletary +1

As control systems become increasingly more complex, there exists a pressing need to find systematic ways of verifying them. To address this concern, there has been significant wor…

cs.RO202031 cited

Dynamic and Versatile Humanoid Walking via Embedding 3D Actuated SLIP Model with Hybrid LIP Based Stepping

Xiaobin Xiong, Aaron Ames

In this paper, we propose an efficient approach to generate dynamic and versatile humanoid walking with non-constant center of mass (COM) height. We exploit the benefits of using r…

cs.RO20203 cited

Sequential Motion Planning for Bipedal Somersault via Flywheel SLIP and Momentum Transmission with Task Space Control

Xiaobin Xiong, Aaron Ames

In this paper, we present a sequential motion planning and control method for generating somersaults on bipedal robots. The somersault (backflip or frontflip) is considered as a co…

math.OC2020

Integral Control Barrier Functions for Dynamically Defined Control Laws

Aaron D. Ames, Gennaro Notomista, Yorai Wardi +1

This paper introduces integral control barrier functions (I-CBFs) as a means to enable the safety-critical integral control of nonlinear systems. Importantly, I-CBFs allow for the…

eess.SY201994 cited

Learning for Safety-Critical Control with Control Barrier Functions

Andrew Taylor, Andrew Singletary, Yisong Yue +1

Modern nonlinear control theory seeks to endow systems with properties of stability and safety, and have been deployed successfully in multiple domains. Despite this success, model…

cs.RO2019

Intermittent Connectivity for Exploration in Communication-Constrained Multi-Agent Systems

Filip Klaesson, Petter Nilsson, Aaron D. Ames +1

Motivated by exploration of communication-constrained underground environments using robot teams, we study the problem of planning for intermittent connectivity in multi-agent syst…