Ilya Kolmanovsky | DeepAI

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Featured Co-authors

Xiao Li
105 publications
Nan Li
58 publications
Yu Yao
23 publications
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19 publications
Alberto Bemporad
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Dimitar Filev
17 publications
Ran Tian
17 publications
Anouck Girard
16 publications
Hossein Rastgoftar
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H. Eric Tseng
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Yutong Li
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∙ 11/22/2022

Safe Control and Learning Using Generalized Action Governor

This paper introduces the Generalized Action Governor, which is a superv...

0 Nan Li, et al. ∙

∙ 07/17/2022

Robust Action Governor for Uncertain Piecewise Affine Systems with Non-convex Constraints and Safe Reinforcement Learning

The action governor is an add-on scheme to a nominal control loop that m...

0 Yutong Li, et al. ∙

∙ 12/14/2021

Interaction-Aware Trajectory Prediction and Planning for Autonomous Vehicles in Forced Merge Scenarios

Merging is, in general, a challenging task for both human drivers and au...

0 Kaiwen Liu, et al. ∙

∙ 11/27/2021

Energy-Efficient Autonomous Driving Using Cognitive Driver Behavioral Models and Reinforcement Learning

Autonomous driving technologies are expected to not only improve mobilit...

0 Huayi Li, et al. ∙

∙ 10/04/2021

Set-theoretic Localization for Mobile Robots with Infrastructure-based Sensing

In this paper, we introduce a set-theoretic approach for mobile robot lo...

0 Xiao Li, et al. ∙

∙ 05/29/2021

Development, Implementation, and Experimental Outdoor Evaluation of Quadcopter Controllers for Computationally Limited Embedded Systems

Quadcopters are increasingly used for applications ranging from hobby to...

0 Juan Paredes, et al. ∙

∙ 04/15/2021

Safe Affine Transformation-Based Guidance of a Large-Scale Multi-Quadcopter System (MQS)

This paper studies the problem of affine transformation-based guidance o...

0 Hossein Rastgoftar, et al. ∙

∙ 02/21/2021

Safe Reinforcement Learning Using Robust Action Governor

Reinforcement Learning (RL) is essentially a trial-and-error learning pr...

0 Yutong Li, et al. ∙

∙ 01/22/2021

Safe Learning Reference Governor for Constrained Systems with Application to Fuel Truck Rollover Avoidance

This paper proposes a learning reference governor (LRG) approach to enfo...

0 Kaiwen Liu, et al. ∙

∙ 05/11/2020

A Game Theoretic Approach for Parking Spot Search with Limited Parking Lot Information

We propose a game theoretic approach to address the problem of searching...

0 Yutong Li, et al. ∙

∙ 12/03/2019

Survey of prognostics methods for condition-based maintenance in engineering systems

It is not surprising that the idea of efficient maintenance algorithms (...

0 Ehsan Taheri, et al. ∙

∙ 11/06/2019

Rapid Uncertainty Propagation and Chance-Constrained Path Planning for Small Unmanned Aerial Vehicles

With the number of small Unmanned Aircraft Systems (sUAS) in the nationa...

0 Andrew W. Berning Jr., et al. ∙

∙ 10/28/2019

Deep Reinforcement Learning with Enhanced Safety for Autonomous Highway Driving

In this paper, we present a safe deep reinforcement learning system for ...

0 Ali Baheri, et al. ∙

∙ 10/16/2019

Game-theoretic Modeling of Traffic in Unsignalized Intersection Network for Autonomous Vehicle Control Verification and Validation

For a foreseeable future, autonomous vehicles (AVs) will operate in traf...

0 Ran Tian, et al. ∙

∙ 09/27/2019

Beating humans in a penny-matching game by leveraging cognitive hierarchy theory and Bayesian learning

It is a long-standing goal of artificial intelligence (AI) to be superio...

0 Ran Tian, et al. ∙

∙ 08/12/2019

Decision making in dynamic and interactive environments based on cognitive hierarchy theory, Bayesian inference, and predictive control

n this paper, we describe an integrated framework for autonomous decisio...

0 Sisi Li, et al. ∙

∙ 08/12/2019

Decision making in dynamic and interactive environments based on cognitive hierarchy theory: Formulation, solution, and application to autonomous driving

In this paper, we describe a framework for autonomous decision making in...

0 Sisi Li, et al. ∙

∙ 04/10/2019

Game-Theoretic Modeling of Multi-Vehicle Interactions at Uncontrolled Intersections

Motivated by the need to develop simulation tools for verification and v...

0 Nan Li, et al. ∙

∙ 10/01/2018

Adaptive Game-Theoretic Decision Making for Autonomous Vehicle Control at Roundabouts

In this paper, we propose a decision making algorithm for autonomous veh...

0 Ran Tian, et al. ∙

∙ 09/22/2017

Cloud-aided collaborative estimation by ADMM-RLS algorithms for connected vehicle prognostics

As the connectivity of consumer devices is rapidly growing and cloud com...

0 Valentina Breschi, et al. ∙

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