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20232026
most citedSafety-Critical Control for Autonomous Systems: Control Barrier Functions via Reduced-Order Models

80 citations · 100 across the 35 of their papers we have counts for

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11 papers · 1 filter

cs.RO2026

Safe-SAGE: Social-Semantic Adaptive Guidance for Safe Engagement through Laplace-Modulated Poisson Safety Functions

Lizhi Yang, Ryan M. Bena, Meg Wilkinson +4

Traditional safety-critical control methods, such as control barrier functions, suffer from semantic blindness, exhibiting the same behavior around obstacles regardless of contextu…

cs.RO2026

Layered Safety: Enhancing Autonomous Collision Avoidance via Multistage CBF Safety Filters

Erina Yamaguchi, Ryan M. Bena, Gilbert Bahati +1

This paper presents a general end-to-end framework for constructing robust and reliable layered safety filters that can be leveraged to perform dynamic collision avoidance over a b…

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…

cs.RO2025

Secure Safety Filter: Towards Safe Flight Control under Sensor Attacks

Xiao Tan, Junior Sundar, Renzo Bruzzone +5

Modern autopilot systems are prone to sensor attacks that can jeopardize flight safety. To mitigate this risk, we proposed a modular solution: the secure safety filter, which exten…

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…

cs.RO2024

Safety-critical Locomotion of Biped Robots in Infeasible Paths: Overcoming Obstacles during Navigation toward Destination

Jaemin Lee, Min Dai, Jeeseop Kim +1

This paper proposes a safety-critical locomotion control framework employed for legged robots exploring through infeasible path in obstacle-rich environments. Our research focus is…

cs.RO2024

Dynamic Walking on Highly Underactuated Point Foot Humanoids: Closing the Loop between HZD and HLIP

Adrian B. Ghansah, Jeeseop Kim, Kejun Li +1

Realizing bipedal locomotion on humanoid robots with point feet is especially challenging due to their highly underactuated nature, high degrees of freedom, and hybrid dynamics res…

cs.RO2024

Safety-critical Autonomous Inspection of Distillation Columns using Quadrupedal Robots Equipped with Roller Arms

Jaemin Lee, Jeeseop Kim, Aaron D. Ames

This paper proposes a comprehensive framework designed for the autonomous inspection of complex environments, with a specific focus on multi-tiered settings such as distillation co…

cs.RO2023

Safety-Critical Coordination of Legged Robots via Layered Controllers and Forward Reachable Set based Control Barrier Functions

Jeeseop Kim, Jaemin Lee, Aaron D. Ames

This paper presents a safety-critical approach to the coordination of robots in dynamic environments. To this end, we leverage control barrier functions (CBFs) with the forward rea…

cs.RO2023

A Data-driven Method for Safety-critical Control: Designing Control Barrier Functions from State Constraints

Jaemin Lee, Jeeseop Kim, Aaron D. Ames

This paper addresses the challenge of integrating explicit hard constraints into the control barrier function (CBF) framework for ensuring safety in autonomous systems, including r…

cs.RO2023

Safety-critical Control of Quadrupedal Robots with Rolling Arms for Autonomous Inspection of Complex Environments

Jaemin Lee, Jeeseop Kim, Wyatt Ubellacker +2

This paper presents a safety-critical control framework tailored for quadruped robots equipped with a roller arm, particularly when performing locomotive tasks such as autonomous r…