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Naira Hovakimyan
Distributed Algorithms for Linearly-Solvable Optimal Control in Networked Multi-Agent Systems

Feb 18, 2021
Neng Wan, Aditya Gahlawat, Naira Hovakimyan, Evangelos A. Theodorou, Petros G. Voulgaris


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Residue Density Segmentation for Monitoring and Optimizing Tillage Practices

Feb 09, 2021
Jennifer Hobbs, Ivan Dozier, Naira Hovakimyan


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Detection and Prediction of Nutrient Deficiency Stress using Longitudinal Aerial Imagery

Dec 17, 2020
Saba Dadsetan, Gisele Rose, Naira Hovakimyan, Jennifer Hobbs


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$f$-Divergence Variational Inference

Oct 20, 2020
Neng Wan, Dapeng Li, Naira Hovakimyan

* Dapeng Li and Neng Wan contributed equally to this paper. Supplementary material is attached. The links to code are provided in the paper, supplementary material and reference list. To appear in Advances in Neural Information Processing Systems 33 (NeurIPS 2020) 
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Cooperative Path Integral Control for Stochastic Multi-Agent Systems

Sep 30, 2020
Neng Wan, Aditya Gahlawat, Naira Hovakimyan, Evangelos A. Theodorou, Petros G. Voulgaris

* Submitted to American Control Conference 2021 
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Compositionality of Linearly Solvable Optimal Control in Networked Multi-Agent Systems

Sep 28, 2020
Lin Song, Neng Wan, Aditya Gahlawat, Naira Hovakimyan, Evangelos A. Theodorou


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$\mathcal{RL}_1$-$\mathcal{GP}$: Safe Simultaneous Learning and Control

Sep 08, 2020
Aditya Gahlawat, Arun Lakshmanan, Lin Song, Andrew Patterson, Zhuohuan Wu, Naira Hovakimyan, Evangelos Theodorou

* Submitted to the Conference on Robot Learning (CoRL) 2020 
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The 1st Agriculture-Vision Challenge: Methods and Results

Apr 23, 2020
Mang Tik Chiu, Xingqian Xu, Kai Wang, Jennifer Hobbs, Naira Hovakimyan, Thomas S. Huang, Honghui Shi, Yunchao Wei, Zilong Huang, Alexander Schwing, Robert Brunner, Ivan Dozier, Wyatt Dozier, Karen Ghandilyan, David Wilson, Hyunseong Park, Junhee Kim, Sungho Kim, Qinghui Liu, Michael C. Kampffmeyer, Robert Jenssen, Arnt B. Salberg, Alexandre Barbosa, Rodrigo Trevisan, Bingchen Zhao, Shaozuo Yu, Siwei Yang, Yin Wang, Hao Sheng, Xiao Chen, Jingyi Su, Ram Rajagopal, Andrew Ng, Van Thong Huynh, Soo-Hyung Kim, In-Seop Na, Ujjwal Baid, Shubham Innani, Prasad Dutande, Bhakti Baheti, Sanjay Talbar, Jianyu Tang

* CVPR 2020 Workshop 
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Safe Feedback Motion Planning: A Contraction Theory and $\mathcal{L}_1$-Adaptive Control Based Approach

Apr 02, 2020
Arun Lakshmanan, Aditya Gahlawat, Naira Hovakimyan

* Submitted to the Conference on Decision and Control (CDC) 2020 
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Learning Probabilistic Intersection Traffic Models for Trajectory Prediction

Feb 05, 2020
Andrew Patterson, Aditya Gahlawat, Naira Hovakimyan


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Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis

Jan 05, 2020
Mang Tik Chiu, Xingqian Xu, Yunchao Wei, Zilong Huang, Alexander Schwing, Robert Brunner, Hrant Khachatrian, Hovnatan Karapetyan, Ivan Dozier, Greg Rose, David Wilson, Adrian Tudor, Naira Hovakimyan, Thomas S. Huang, Honghui Shi


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Multi-Spectral Visual Odometry without Explicit Stereo Matching

Aug 23, 2019
Weichen Dai, Yu Zhang, Donglei Sun, Naira Hovakimyan, Ping Li


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Towards Resilient UAV: Escape Time in GPS Denied Environment with Sensor Drift

Jun 11, 2019
Hyung-Jin Yoon, Wenbin Wan, Hunmin Kim, Naira Hovakimyan, Lui Sha, Petros G. Voulgaris


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Proximity Queries for Absolutely Continuous Parametric Curves

Apr 09, 2019
Arun Lakshmanan, Andrew Patterson, Venanzio Cichella, Naira Hovakimyan


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Intent-Aware Probabilistic Trajectory Estimation for Collision Prediction with Uncertainty Quantification

Apr 04, 2019
Andrew Patterson, Arun Lakshmanan, Naira Hovakimyan


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A Path Planning Framework for a Flying Robot in Close Proximity of Humans

Mar 12, 2019
Hyung-Jin Yoon, Christopher Widdowson, Thiago Marinho, Ranxiao Frances Wang, Naira Hovakimyan


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Bernstein approximation of optimal control problems

Dec 14, 2018
Venanzio Cichella, Isaac Kaminer, Claire Walton, Naira Hovakimyan, Antonio Pascoal


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Learning to Communicate: A Machine Learning Framework for Heterogeneous Multi-Agent Robotic Systems

Dec 13, 2018
Hyung-Jin Yoon, Huaiyu Chen, Kehan Long, Heling Zhang, Aditya Gahlawat, Donghwan Lee, Naira Hovakimyan

* AIAA SciTech 2019 
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Hidden Markov Model Estimation-Based Q-learning for Partially Observable Markov Decision Process

Sep 24, 2018
Hyung-Jin Yoon, Donghwan Lee, Naira Hovakimyan


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