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Kshitij Jerath
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2020 – today
- 2024
- [c18]Srivenkata Satya Prasad Maddipatla, Rinith Pakala, Hossein Haeri, Cindy Chen, Kshitij Jerath, Sean Brennan:
Using Databases to Implement Algorithms: Estimation of Allan Variance Using B+ -tree Data Structure. ACC 2024: 2164-2169 - [c17]Yasin Findik, Paul Robinette, Kshitij Jerath, Reza Azadeh:
Relational Q-Functionals: Multi-Agent Learning to Recover from Unforeseen Robot Malfunctions in Continuous Action Domains. UR 2024: 251-256 - [i13]Spencer Barclay, Kshitij Jerath:
Human-guided Swarms: Impedance Control-inspired Influence in Virtual Reality Environments. CoRR abs/2402.04451 (2024) - [i12]Niket Kathiriya, Hossein Haeri, Cindy Chen, Kshitij Jerath:
Iterative Forgetting: Online Data Stream Regression Using Database-Inspired Adaptive Granulation. CoRR abs/2403.09588 (2024) - [i11]Zhaohui Yang, Kshitij Jerath:
Energy-Guided Data Sampling for Traffic Prediction with Mini Training Datasets. CoRR abs/2403.18710 (2024) - [i10]Yasin Findik, Paul Robinette, Kshitij Jerath, Reza Azadeh:
Relational Q-Functionals: Multi-Agent Learning to Recover from Unforeseen Robot Malfunctions in Continuous Action Domains. CoRR abs/2407.19128 (2024) - [i9]Akshay Kolli, Reza Azadeh, Kshitij Jerath:
Graph Attention Inference of Network Topology in Multi-Agent Systems. CoRR abs/2408.15449 (2024) - 2023
- [j5]Lorina Sinanaj, Hossein Haeri, Srivenkata Satya Prasad Maddipatla, Liming Gao, Rinith Pakala, Niket Kathiriya, Craig Earl Beal, Sean Brennan, Cindy Chen, Kshitij Jerath:
Granulation of Large Temporal Databases: An Allan Variance Approach. SN Comput. Sci. 4(1): 7 (2023) - [c16]Yasin Findik, Paul Robinette, Kshitij Jerath, Seyed Reza Ahmadzadeh:
Impact of Relational Networks in Multi-Agent Learning: A Value-Based Factorization View. CDC 2023: 4447-4454 - [c15]Rinith Pakala, Niket Kathiriya, Hossein Haeri, Srivenkata Satya Prasad Maddipatla, Kshitij Jerath, Craig Earl Beal, Sean Brennan, Cindy Chen:
Distributed Edge Computing System for Vehicle Communication. DATA 2023: 398-405 - [c14]Hossein Haeri, Niket Kathiriya, Cindy Chen, Kshitij Jerath:
Adaptive Granulation: Data Reduction at the Database Level. KMIS 2023: 29-39 - [c13]Yasin Findik, Hamid Osooli, Paul Robinette, Kshitij Jerath, Seyed Reza Ahmadzadeh:
Influence of Team Interactions on Multi-Robot Cooperation: A Relational Network Perspective. MRS 2023: 50-56 - [i8]Adam Norton, Reza Ahmadzadeh, Kshitij Jerath, Paul Robinette, Jay Weitzen, Thanuka Wickramarathne, Holly A. Yanco, Minseop Choi, Ryan Donald, Brendan Donoghue, Christian Dumas, Peter Gavriel, Alden Giedraitis, Brendan Hertel, Jack Houle, Nathan Letteri, Edwin Meriaux, Zahra Rezaei Khavas, Rakshith Singh, Gregg Willcox, Naye Yoni:
DECISIVE Benchmarking Data Report: sUAS Performance Results from Phase I. CoRR abs/2301.07853 (2023) - [i7]Hossein Haeri, Kshitij Jerath, Jacob Leachman:
Thermodynamics-inspired Macroscopic States of Bounded Swarms. CoRR abs/2308.15361 (2023) - [i6]Hamid Osooli, Paul Robinette, Kshitij Jerath, Seyed Reza Ahmadzadeh:
A Multi-Robot Task Assignment Framework for Search and Rescue with Heterogeneous Teams. CoRR abs/2309.12589 (2023) - [i5]Yasin Findik, Paul Robinette, Kshitij Jerath, Seyed Reza Ahmadzadeh:
Collaborative Adaptation: Learning to Recover from Unforeseen Malfunctions in Multi-Robot Teams. CoRR abs/2310.12909 (2023) - [i4]Yasin Findik, Hamid Osooli, Paul Robinette, Kshitij Jerath, Seyed Reza Ahmadzadeh:
Influence of Team Interactions on Multi-Robot Cooperation: A Relational Network Perspective. CoRR abs/2310.12910 (2023) - [i3]Yasin Findik, Paul Robinette, Kshitij Jerath, Seyed Reza Ahmadzadeh:
Impact of Relational Networks in Multi-Agent Learning: A Value-Based Factorization View. CoRR abs/2310.12912 (2023) - 2022
- [j4]Taehooie Kim, Kshitij Jerath:
Congestion-Aware Cooperative Adaptive Cruise Control for Mitigation of Self-Organized Traffic Jams. IEEE Trans. Intell. Transp. Syst. 23(7): 6621-6632 (2022) - [c12]Hossein Haeri, Behrad Soleimani, Kshitij Jerath:
Optimal Moving Average Estimation of Noisy Random Walks using Allan Variance-informed Window Length. ACC 2022: 1646-1651 - [c11]Fernando Mazzoni, Kshitij Jerath:
Understanding Agent Competency: Effects of Environment Complexity on Area Coverage Time. SSCI 2022: 315-321 - [i2]Hossein Haeri, Reza Ahmadzadeh, Kshitij Jerath:
Reward-Sharing Relational Networks in Multi-Agent Reinforcement Learning as a Framework for Emergent Behavior. CoRR abs/2207.05886 (2022) - [i1]Adam Norton, Reza Ahmadzadeh, Kshitij Jerath, Paul Robinette, Jay Weitzen, Thanuka Wickramarathne, Holly A. Yanco, Minseop Choi, Ryan Donald, Brendan Donoghue, Christian Dumas, Peter Gavriel, Alden Giedraitis, Brendan Hertel, Jack Houle, Nathan Letteri, Edwin Meriaux, Zahra Rezaei Khavas, Rakshith Singh, Gregg Willcox, Naye Yoni:
DECISIVE Test Methods Handbook: Test Methods for Evaluating sUAS in Subterranean and Constrained Indoor Environments, Version 1.1. CoRR abs/2211.01801 (2022) - 2021
- [j3]Hossein Haeri, Craig Earl Beal, Kshitij Jerath:
Near-Optimal Moving Average Estimation at Characteristic Timescales: An Allan Variance Approach. IEEE Control. Syst. Lett. 5(5): 1531-1536 (2021) - [c10]Hossein Haeri, Craig Earl Beal, Kshitij Jerath:
Near-optimal Moving Average Estimation at Characteristic Timescales: An Allan Variance Approach. ACC 2021: 1565-1570 - [c9]Liming Gao, Srivenkata Satya Prasad Maddipatla, Craig Earl Beal, Kshitij Jerath, Cindy Chen, Lorina Sinanaj, Hossein Haeri, Sean Brennan:
A Micro-simulation Framework for Studying CAVs Behavior and Control Utilizing a Traffic Simulator, Chassis Simulation, and a Shared Roadway Friction Database. ACC 2021: 1650-1655 - [c8]Lorina Sinanaj, Hossein Haeri, Liming Gao, Srivenkata Satya Prasad Maddipatla, Cindy Chen, Kshitij Jerath, Craig Earl Beal, Sean Brennan:
Allan Variance-based Granulation Technique for Large Temporal Databases. KMIS 2021: 17-28 - 2020
- [c7]Zhaohui Yang, Kshitij Jerath:
Observability Variation in Emergent Dynamics: A Study using Krylov Subspace-based Model Order Reduction. ACC 2020: 3461-3466
2010 – 2019
- 2018
- [c6]Mitchell Scott, Kshitij Jerath:
Multi-robot Exploration and Coverage: Entropy-based Adaptive Maps with Adjacency Control Laws. ACC 2018: 4403-4408 - [c5]Zhaohui Yang, Kshitij Jerath:
Examining the Observability of Emergent Behavior as a Function of Reduced Model Order. ACC 2018: 6218-6223 - 2016
- [c4]Taehooie Kim, Kshitij Jerath:
Mitigation of self-organized traffic jams using cooperative adaptive cruise control. ICCVE 2016: 7-12 - 2015
- [j2]Kshitij Jerath, Asok Ray, Sean Brennan, Vikash V. Gayah:
Dynamic Prediction of Vehicle Cluster Distribution in Mixed Traffic: A Statistical Mechanics-Inspired Method. IEEE Trans. Intell. Transp. Syst. 16(5): 2424-2434 (2015) - [c3]Kshitij Jerath, Sean Brennan:
Identification of locally influential agents in self-organizing multi-agent systems. ACC 2015: 335-340 - 2014
- [c2]Kshitij Jerath, Asok Ray, Sean N. Brennan, Vikash V. Gayah:
Statistical mechanics-inspired framework for studying the effects of mixed traffic flows on highway congestion. ACC 2014: 5402-5407 - 2012
- [j1]Kshitij Jerath, Sean N. Brennan:
Analytical Prediction of Self-Organized Traffic Jams as a Function of Increasing ACC Penetration. IEEE Trans. Intell. Transp. Syst. 13(4): 1782-1791 (2012) - [c1]Kshitij Jerath, Sean N. Brennan:
GPS-free terrain-based vehicle tracking on road networks. ACC 2012: 307-311
Coauthor Index
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