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20112023
most citedSafety Barrier Certificates for Heterogeneous Multi-Robot Systems

91 citations · 524 across the 63 of their papers we have counts for

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eess.SY2022★ 2 cited

Quadratic Programming for Continuous Control of Safety-Critical Multi-Agent Systems Under Uncertainty

Si Wu, Tengfei Liu, Magnus Egerstedt +1

This paper studies the control problem for safety-critical multi-agent systems based on quadratic programming (QP). Each controlled agent is modeled as a cascade connection of an i…

eess.SY2022★ 1 cited

Distributed Coverage Hole Prevention for Visual Environmental Monitoring with Quadcopters via Nonsmooth Control Barrier Functions

Riku Funada, María Santos, Ryuichi Maniwa +4

This paper proposes a distributed coverage control strategy for quadcopters equipped with downward-facing cameras that prevents the appearance of unmonitored areas in between the q…

eess.SY2021★ 1 cited

Safe Reinforcement Learning Using Robust Control Barrier Functions

Yousef Emam, Gennaro Notomista, Paul Glotfelter +2

Reinforcement Learning (RL) has been shown to be effective in many scenarios. However, it typically requires the exploration of a sufficiently large number of state-action pairs, s…

eess.SY2020

Safety With Limited Range Sensing Constraints For Fixed Wing Aircraft

Eric Squires, Rohit Konda, Pietro Pierpaoli +2

In this paper we discuss how to use a barrier function that is subject to kinematic constraints and limited sensing in order to guarantee that fixed wing unmanned aerial vehicles (…

eess.SY2020★ 5 cited

Neural Identification for Control

Priyabrata Saha, Magnus Egerstedt, Saibal Mukhopadhyay

We present a new method for learning control law that stabilizes an unknown nonlinear dynamical system at an equilibrium point. We formulate a system identification task in a self-…

eess.SY2020

Intersection-Traffic Control of Autonomous Vehicles using Newton-Raphson Flows and Barrier Functions

Shashwat Shivam, Yorai Wardi, Magnus Egerstedt +2

This paper concerns an application of a recently-developed nonlinear tracking technique to trajectory control of autonomous vehicles at traffic intersections. The technique uses a…

eess.SY2020★ 21 cited

Distributed Collision-Free Motion Coordination on a Sphere: A Conic Control Barrier Function Approach

Tatsuya Ibuki, Sean Wilson, Aaron D. Ames +1

This letter studies a distributed collision avoidance control problem for a group of rigid bodies on a sphere. A rigid body network, consisting of multiple rigid bodies constrained…

eess.SY2019★ 13 cited

Constraint Learning for Control Tasks with Limited Duration Barrier Functions

Motoya Ohnishi, Gennaro Notomista, Masashi Sugiyama +1

When deploying autonomous agents in unstructured environments over sustained periods of time, adaptability and robustness oftentimes outweigh optimality as a primary consideration.…

eess.SY2019★ 4 cited

Herdability of Linear Systems Based on Sign Patterns and Graph Structures

Sebastian F Ruf, Magnus Egerstedt, Jeff S. Shamma

We consider the notion of herdability, a set-based reachability condition, which asks whether the state of a system can be controlled to be element-wise larger than a non-negative…

eess.SY2019

Passivity-Based Decentralized Control of Multi-Robot Systems With Delays Using Control Barrier Functions

Gennaro Notomista, Xiaoyi Cai, Junya Yamauchi +1

In this paper, we present a solution to the problem of coordinating multiple robots across a communication channel that experiences delays. The proposed approach leverages control…

eess.SY2019

Control Barrier Functions: Theory and Applications

Aaron D. Ames, Samuel Coogan, Magnus Egerstedt +3

This paper provides an introduction and overview of recent work on control barrier functions and their use to verify and enforce safety properties in the context of (optimization b…

eess.SY2019★ 1 cited

Stable, Concurrent Controller Composition for Multi-Objective Robotic Tasks

Anqi Li, Ching-An Cheng, Byron Boots +1

Robotic systems often need to consider multiple tasks concurrently. This challenge calls for controller synthesis algorithms that fulfill multiple control specifications while main…

eess.SY2018

Tracking Control by the Newton-Raphson Flow: Applications to Autonomous Vehicles

Shashwat Shivam, Ian Buckley, Yorai Wardi +2

This paper concerns applications of a recently-developed output-tracking technique to trajectory control of autonomous vehicles. The technique is based on three principles: Newton-…

eess.SY2018★ 1 cited

Control of Multi-Agent Systems with Finite Time Control Barrier Certificates and Temporal Logic

Mohit Srinivasan, Samuel Coogan, Magnus Egerstedt

In this paper, a method to synthesize controllers using finite time convergence control barrier functions guided by linear temporal logic specifications for continuous time multi-a…

eess.SY2018

Fault Tolerant Control for Networked Mobile Robots

Pietro Pierpaoli, Dominique Sauter, Magnus Egerstedt

Teams of networked autonomous agents have been used in a number of applications, such as mobile sensor networks and intelligent transportation systems. However, in such systems, th…

eess.SY2018

A Distributed Version of the Hungarian Method for Multi-Robot Assignment

Smriti Chopra, Giuseppe Notarstefano, Matthew Rice +1

In this paper, we propose a distributed version of the Hungarian Method to solve the well known assignment problem. In the context of multi-robot applications, all robots cooperati…

eess.SY2018★ 2 cited

Herding Positive, Complex Networks

Sebastian F. Ruf, Magnus Egersted, Jeff S. Shamma

The problem of controlling complex networks is of interest to disciplines ranging from biology to swarm robotics. However, controllability can be too strict a condition, failing to…

eess.SY2018

Herdable Systems Over Signed, Directed Graphs

Sebastian F. Ruf, Magnus Egerstedt, Jeff S. Shamma

This paper considers the notion of herdability, a set-based reachability condition, which asks whether the state of a system can be controlled to be element-wise larger than a non-…

eess.SY2016★ 69 cited

Graph Distances and Controllability of Networks

A. Yasin Yazicioglu, Waseem Abbas, Magnus Egerstedt

In this technical note, we study the controllability of diffusively coupled networks from a graph theoretic perspective. We consider leader-follower networks, where the external co…

eess.SY2015★ 24 cited

Communication-Free Distributed Coverage for Networked Systems

A. Yasin Yazicioglu, Magnus Egerstedt, Jeff S. Shamma

In this paper, we present a communication-free algorithm for distributed coverage of an arbitrary network by a group of mobile agents with local sensing capabilities. The network i…

eess.SY2013★ 1 cited

Continuous-time Proportional-Integral Distributed Optimization for Networked Systems

Greg Droge, Hiroaki Kawashima, Magnus Egerstedt

In this paper we explore the relationship between dual decomposition and the consensus-based method for distributed optimization. The relationship is developed by examining the sim…

eess.SY2012★ 22 cited

A Tight Lower Bound on the Controllability of Networks with Multiple Leaders

Ahmet Yasin Yazicioglu, Waseem Abbas, Magnus Egerstedt

In this paper we study the controllability of networked systems with static network topologies using tools from algebraic graph theory. Each agent in the network acts in a decentra…

eess.SY2011★ 2 cited

Algorithm for Optimal Mode Scheduling in Switched Systems

Yorai Wardi, Magnus Egerstedt

This paper considers the problem of computing the schedule of modes in a switched dynamical system, that minimizes a cost functional defined on the trajectory of the system's conti…