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20212026
most citedSafe and Robust Observer-Controller Synthesis using Control Barrier Functions

67 citations · 135 across the 21 of their papers we have counts for

collaborators

22 papers

cs.RO2026

Clarity-Driven Adaptive Mission Planning for a Solar-Powered Autonomous Surface Vessel

Kavin M. Govindarajan, Kaleb Ben Naveed, David Li +5

This paper presents a comprehensive methodology, backed by simulation and experimental results, for an adaptive mission planning strategy that is mathematically grounded in the max…

cs.RO2026

Trajectory Planning for Safe Dual Control with Active Exploration

Kaleb Ben Naveed, Manveer Singh, Devansh R. Agrawal +1

Planning safe trajectories under model uncertainty is a fundamental challenge. Robust planning ensures safety by considering worst-case realizations, yet ignores uncertainty reduct…

cs.RO2025

Multi-Agent gatekeeper: Safe Flight Planning and Formation Control for Urban Air Mobility

Thomas Marshall Vielmetti, Devansh R Agrawal, Dimitra Panagou

We present Multi-Agent gatekeeper, a framework that provides provable safety guarantees for leader-follower formation control in cluttered 3D environments. Existing methods face a…

eess.SY2025

Kalman-Bucy Filtering with Randomized Sensing: Fundamental Limits and Sensor Network Design for Field Estimation

Xinyi Wang, Devansh R. Agrawal, Dimitra Panagou

Stability analysis of the Kalman filter under randomly lost measurements has been widely studied. We revisit this problem in a general continuous-time framework, where both the mea…

cs.MA2025

R3R: Decentralized Multi-Agent Collision Avoidance with Infinite-Horizon Safety

Thomas Marshall Vielmetti, Devansh R. Agrawal, Dimitra Panagou

Existing decentralized methods for multi-agent motion planning lack formal, infinite-horizon safety guarantees, especially for communication-constrained systems. We present R3R whi…

cs.RO2025

A Formal gatekeeper Framework for Safe Dual Control with Active Exploration

Kaleb Ben Naveed, Devansh R. Agrawal, Dimitra Panagou

Planning safe trajectories under model uncertainty is a fundamental challenge. Robust planning ensures safety by considering worst-case realizations, yet ignores uncertainty reduct…

math.OC2025

Reformulations of Quadratic Programs for Lipschitz Continuity

Devansh R. Agrawal, Haejoon Lee, Dimitra Panagou

Optimization-based controllers often lack regularity guarantees, such as Lipschitz continuity, when multiple constraints are present. When used to control a dynamical system, these…

eess.SY2025

Online Safety under Multiple Constraints and Input Bounds using gatekeeper: Theory and Applications

Devansh R. Agrawal, Dimitra Panagou

This letter presents an approach to guarantee online safety of a cyber-physical system under multiple state and input constraints. Our proposed framework, called gatekeeper, recurs…

cs.RO2025

Adaptive Ergodic Search with Energy-Aware Scheduling for Persistent Multi-Robot Missions

Kaleb Ben Naveed, Devansh R. Agrawal, Rahul Kumar +1

Autonomous robots are increasingly deployed for long-term information-gathering tasks, which pose two key challenges: planning informative trajectories in environments that evolve…

cs.RO2025

Certifiably-Correct Mapping for Safe Navigation Despite Odometry Drift

Devansh R. Agrawal, Taekyung Kim, Rajiv Govindjee +4

Accurate perception, state estimation and mapping are essential for safe robotic navigation as planners and controllers rely on these components for safety-critical decisions. Howe…

cs.RO2025

Enabling Safety for Aerial Robots: Planning and Control Architectures

Kaleb Ben Naveed, Devansh R. Agrawal, Daniel M. Cherenson +6

Ensuring safe autonomy is crucial for deploying aerial robots in real-world applications. However, safety is a multifaceted challenge that must be addressed from multiple perspecti…

cs.RO2025

Autonomy Architectures for Safe Planning in Unknown Environments Under Budget Constraints

Daniel M. Cherenson, Devansh R. Agrawal, Dimitra Panagou

Mission planning can often be formulated as a constrained control problem under multiple path constraints (i.e., safety constraints) and budget constraints (i.e., resource expendit…

cs.RO2025

Fusion of Indirect Methods and Iterative Learning for Persistent Velocity Trajectory Optimization of a Sustainably Powered Autonomous Surface Vessel

Kavin M. Govindarajan, Devansh R Agrawal, Dimitra Panagou +1

In this paper, we present the methodology and results for a real-time velocity trajectory optimization for a solar-powered autonomous surface vessel (ASV), where we combine indirec…

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…

eess.SY2024★ 1 cited

Multi-Agent Clarity-Aware Dynamic Coverage with Gaussian Processes

Devansh R. Agrawal, Dimitra Panagou

This paper presents two algorithms for multi-agent dynamic coverage in spatiotemporal environments, where the coverage algorithms are informed by the method of data assimilation. I…

cs.RO2024★ 1 cited

Online and Certifiably Correct Visual Odometry and Mapping

Devansh R Agrawal, Rajiv Govindjee, Jiangbo Yu +2

This paper proposes two new algorithms for certified perception in safety-critical robotic applications. The first is a Certified Visual Odometry algorithm, which uses a RGBD camer…

math.OC2023★ 2 cited

Advances in the Theory of Control Barrier Functions: Addressing Practical Challenges in Safe Control Synthesis for Autonomous and Robotic Systems

Kunal Garg, James Usevitch, Joseph Breeden +4

This tutorial paper presents recent work of the authors that extends the theory of Control Barrier Functions (CBFs) to address practical challenges in the synthesis of safe control…

cs.RO2023

Eclares: Energy-Aware Clarity-Driven Ergodic Search

Kaleb Ben Naveed, Devansh Agrawal, Christopher Vermillion +1

Planning informative trajectories while considering the spatial distribution of the information over the environment, as well as constraints such as the robot's limited battery cap…

cs.RO2023

Sensor-based Planning and Control for Robotic Systems: Introducing Clarity and Perceivability

Devansh R Agrawal, Dimitra Panagou

We introduce an information measure, termed clarity, motivated by information entropy, and show that it has intuitive properties relevant to dynamic coverage control and informativ…

cs.RO2022★ 67 cited

Safe and Robust Observer-Controller Synthesis using Control Barrier Functions

Devansh R. Agrawal, Dimitra Panagou

This paper addresses the synthesis of safety-critical controllers using estimate feedback. We propose an observer-controller interconnection to ensure that the nonlinear system rem…

cs.RO2022★ 4 cited

gatekeeper: Online Safety Verification and Control for Nonlinear Systems in Dynamic Environments

Devansh R Agrawal, Ruichang Chen, Dimitra Panagou

This paper presents the gatekeeper algorithm, a real-time and computationally-lightweight method that ensures that trajectories of a nonlinear system satisfy safety constraints des…

math.OC2021★ 47 cited

Safe Control Synthesis via Input Constrained Control Barrier Functions

Devansh Agrawal, Dimitra Panagou

This paper introduces the notion of an Input Constrained Control Barrier Function (ICCBF), as a method to synthesize safety-critical controllers for non-linear control affine syste…