activity
20192023
most citedLearning for Safety-Critical Control with Control Barrier Functions

94 citations · 110 across the 10 of their papers we have counts for

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5 papers · 1 filter

cs.RO2022

Planar Bipedal Locomotion with Nonlinear Model Predictive Control: Online Gait Generation using Whole-Body Dynamics

Manuel Y. Galliker, Noel Csomay-Shanklin, Ruben Grandia +4

The ability to generate dynamic walking in real-time for bipedal robots with input constraints and underactuation has the potential to enable locomotion in dynamic, complex and uns…

cs.RO2021★ 5 cited

Safety-Aware Preference-Based Learning for Safety-Critical Control

Ryan K. Cosner, Maegan Tucker, Andrew J. Taylor +7

Bringing dynamic robots into the wild requires a tenuous balance between performance and safety. Yet controllers designed to provide robust safety guarantees often result in conser…

cs.RO2021

Episodic Learning for Safe Bipedal Locomotion with Control Barrier Functions and Projection-to-State Safety

Noel Csomay-Shanklin, Ryan K. Cosner, Min Dai +2

This paper combines episodic learning and control barrier functions in the setting of bipedal locomotion. The safety guarantees that control barrier functions provide are only vali…

cs.RO2020

Multi-Layered Safety for Legged Robots via Control Barrier Functions and Model Predictive Control

Ruben Grandia, Andrew J. Taylor, Aaron D. Ames +1

The problem of dynamic locomotion over rough terrain requires both accurate foot placement together with an emphasis on dynamic stability. Existing approaches to this problem prior…

cs.RO2019

Episodic Learning with Control Lyapunov Functions for Uncertain Robotic Systems

Andrew J. Taylor, Victor D. Dorobantu, Hoang M. Le +2

Many modern nonlinear control methods aim to endow systems with guaranteed properties, such as stability or safety, and have been successfully applied to the domain of robotics. Ho…