Distributed Self-triggered Control for Multi-agent Systems by Dimarogonas, Dimos V., Frazzoli, Emilio, Johansson, Karl H.

“…In this paper we consider self-triggered control applied to a multi-agent system with an agreement objective. Each agent computes its next update time instance at the previous time. …”
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Market-based Risk Allocation for Multi-agent Systems by Ono, Masahiro, Williams, Brian Charles

“…We extend the concept of risk allocation to multi-agent systems by highlighting risk as a commodity that is traded in a computational market. …”
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Distributed event-triggered control strategies for multi-agent systems by Dimarogonas, Dimos V., Frazzoli, Emilio

“…Event-driven strategies for distributed multi-agent systems are motivated by the future use of embedded microprocessors with limited resources that will gather information and actuate the individual agent controller updates. …”
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Incremental synthesis of control policies for heterogeneous multi-agent systems with linear temporal logic specifications by Wongpiromsarn, Tichakorn, Ulusoy, Alphan, Belta, Calin, Frazzoli, Emilio, Rus, Daniela L.

“…We consider automatic synthesis of control policies for non-independent, heterogeneous multi-agent systems with the objective of maximizing the probability of satisfying a given specification. …”
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Efficient Routing Algorithms for Multiple Vehicles With no Explicit Communications by Savla, Ketan, Frazzoli, Emilio, Arsie, Alessandro

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Decentralized chance-constrained finite-horizon by Williams, Brian Charles, Ono, Masahiro

“…This paper considers finite-horizon optimal control for multi-agent systems subject to additive Gaussian-distributed stochastic disturbance and a chance constraint. …”
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Mission Planning and Control of Multi-Aircraft Systems With Signal Temporal Logic Specifications by Baspinar, Baris, Balakrishnan, Hamsa, Koyuncu, Emre

“…The method is also applied with a quadrotor fleet to show that the method can be used with different multi-agent systems.…”
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Analysis of decentralized potential field based multi-agent navigation via primal-dual Lyapunov theory by Dimarogonas, Dimos V., Frazzoli, Emilio

“…We use a combination of primal and dual Lyapunov theory for almost global asymptotic stabilization and collision avoidance in multi-agent systems. Previous work provided local analysis around the critical points with the use of the dual Lyapunov technique. …”
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Equitable partitioning policies for robotic networks by Frazzoli, Emilio, Pavone, Marco, Bullo, Francesco, Arsie, Alessandro

“…The most widely applied resource allocation strategy is to balance, or equalize, the total workload assigned to each resource. In mobile multi-agent systems, this principle directly leads to equitable partitioning policies in which (i) the workspace is divided into subregions of equal measure, (ii) there is a bijective correspondence between agents and subregions, and (iii) each agent is responsible for service requests originating within its own subregion. …”
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Collaborative planning with encoding of users' high-level strategies by Banks, Christopher J., Kim, Joseph, Shah, Julie A

“…The generation of near-optimal plans for multi-agent systems with numerical states and temporal actions is computationally challenging. …”
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Intelligent Cooperative Control Architecture: A Framework for Performance Improvement Using Safe Learning by Geramifard, Alborz, Redding, Joshua, How, Jonathan P.

“…Planning for multi-agent systems such as task assignment for teams of limited-fuel unmanned aerial vehicles (UAVs) is challenging due to uncertainties in the assumed models and the very large size of the planning space. …”
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Crossmodal attentive skill learner: learning in Atari and beyond with audio–video inputs by Kim, Dong-Ki, Omidshafiei, Shayegan, Pazis, Jason, How, Jonathan P

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MAR-CPS: Measurable Augmented Reality for Prototyping Cyber-Physical Systems by Vian, John L., Surati, Rajeev, Omidshafiei, Shayegan, Aghamohammadi, Aliakbar, Chen, Yu Fan, Ure, Nazim Kemal, How, Jonathan P

“…The main focus of this method is on rapid design of planning, perception, and learning algorithms for au- tonomous single-agent or multi-agent systems. Moreover, the proposed architecture allows researchers to project a simulated counterpart of outdoor environments in a controlled, indoor space, which can be crucial when testing in outdoor environments is disfavored due to safety, regulatory, or monetary concerns. …”
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On The Transfer Time Complexity of Cooperative Vehicle Routing by Spieser, Kevin, Dimarogonas, Dimos V., Frazzoli, Emilio

“…Motivated by next-generation air transportation systems, this paper investigates the relationship between traffic volume and congestion in a multi-agent system, assuming that the agents can communicate their intentions with one another. …”
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