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09/12/2023
A Q-learning Approach for Adherence-Aware Recommendations
In many real-world scenarios involving high-stakes and safety implicatio...
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04/01/2023
Connected and Automated Vehicles in Mixed-Traffic: Learning Human Driver Behavior for Effective On-Ramp Merging
Highway merging scenarios featuring mixed traffic conditions pose signif...
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03/31/2023
A Hierarchical Approach to Optimal Flow-Based Routing and Coordination of Connected and Automated Vehicles
This paper addresses the challenge of generating optimal vehicle flow at...
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03/28/2023
Worst-Case Control and Learning Using Partial Observations Over an Infinite Time-Horizon
Safety-critical cyber-physical systems require control strategies whose ...
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01/12/2023
Approximate Information States for Worst-Case Control and Learning in Uncertain Systems
In this paper, we investigate discrete-time decision-making problems in ...
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09/23/2022
A Constraint-Driven Approach to Line Flocking: The V Formation as an Energy-Saving Strategy
The study of robotic flocking has received significant attention in the ...
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02/15/2022
The Design and Analysis of a Mobility Game
In this paper, we study a routing and travel-mode choice problem for mob...
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11/05/2021
A First-Order Approach to Model Simultaneous Control of Multiple Microrobots
The control of swarm systems is relatively well understood for simple ro...
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09/13/2021
A Scalable Last-Mile Delivery Service: From Simulation to Scaled Experiment
In this paper, we investigate the problem of a last-mile delivery servic...
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09/13/2021
Constraint-Driven Optimal Control of Multi-Agent Systems: A Highway Platooning Case Study
Platooning has been exploited as a method for vehicles to minimize energ...
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09/07/2021
A Digital Smart City for Emerging Mobility Systems
The increasing demand for emerging mobility systems with connected and a...
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03/04/2021
Differential Flatness as a Sufficient Condition to Generate Optimal Trajectories in Real Time
As robotic systems increase in autonomy, there is a strong need to plan ...
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01/15/2021
Energy-Optimal Goal Assignment of Multi-Agent System with Goal Trajectories in Polynomials
In this paper, we propose an approach for solving an energy-optimal goal...
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11/29/2020
A Socially-Efficient Emerging Mobility Market
Connected and automated vehicles (CAVs) provide the most intriguing oppo...
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11/05/2020
A Hysteretic Q-learning Coordination Framework for Emerging Mobility Systems in Smart Cities
Connected and automated vehicles (CAVs) can alleviate traffic congestion...
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09/29/2020
An Overview on Optimal Flocking
The study of robotic flocking has received considerable attention in the...
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09/01/2020
Energy-Optimal Motion Planning for Agents: Barycentric Motion and Collision Avoidance Constraints
As robotic swarm systems emerge, it is increasingly important to provide...
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03/16/2020
Beyond Reynolds: A Constraint-Driven Approach to Cluster Flocking
In this paper, we present an original set of flocking rules using the ec...
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03/12/2020
Social Media and Misleading Information in a Democracy: A Mechanism Design Approach
In this paper, we present a resource allocation mechanism for the study ...
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01/30/2020
Experimental Validation of a Real-Time Optimal Controller for Coordination of CAVs in a Multi-Lane Roundabout
Roundabouts and other transportation bottlenecks may induce congestion i...
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11/11/2019
Hierarchical Optimal Coordination Framework for Connected and Automated Vehicles in Multiple Intersections
In this paper, we present a decentralized optimal control framework for ...
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03/05/2019