Aditya Gahlawat

45 papers A* 2C 4Journal 30Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ℒ CoRR Astghik Hakobyan, Amaras Nazarians, Aditya Gahlawat, Naira Hovakimyan, Ilya V. Kolmanovsky
2025	J	`jnl`	Distributionally Robust Imitation Learning: Layered Control Architecture for Certifiable Autonomy. CoRR Aditya Gahlawat, Ahmed Aboudonia, Sandeep Banik, Naira Hovakimyan, Nikolai Matni, Aaron D. Ames, Gioele Zardini, Alberto Speranzon
2025	J	`jnl`	L IEEE Trans. Control. Syst. Technol. Zhuohuan Wu, Sheng Cheng, Pan Zhao, Aditya Gahlawat, Kasey A. Ackerman, Arun Lakshmanan, Chengyu Yang, Jiahao Yu, Naira Hovakimyan
2025	—	`conf`	Wasserstein Distributionally Robust Adaptive Covariance Steering. CDC Aditya Gahlawat, Vivek Khatana, Duo Wang, Sambhu H. Karumanchi, Naira Hovakimyan, Petros G. Voulgaris
2025	J	`jnl`	Wasserstein Distributionally Robust Adaptive Covariance Steering. CoRR Aditya Gahlawat, Vivek Khatana, Duo Wang, Sambhu H. Karumanchi, Naira Hovakimyan, Petros G. Voulgaris
2025	J	`jnl`	ℒ CoRR Aditya Gahlawat, Sambhu H. Karumanchi, Naira Hovakimyan
2024	J	`jnl`	Guaranteed Trajectory Tracking under Learned Dynamics with Contraction Metrics and Disturbance Estimation. Robotics Pan Zhao, Ziyao Guo, Yikun Cheng, Aditya Gahlawat, Hyungsoo Kang, Naira Hovakimyan
2024	J	`jnl`	Robust Model Based Reinforcement Learning Using L CoRR Minjun Sung, Sambhu H. Karumanchi, Aditya Gahlawat, Naira Hovakimyan
2024	A*	`conf`	Robust Model Based Reinforcement Learning Using L1 Adaptive Control. ICLR Minjun Sung, Sambhu H. Karumanchi, Aditya Gahlawat, Naira Hovakimyan
2023	J	`jnl`	Generalization of Safe Optimal Control Actions on Networked Multiagent Systems. IEEE Trans. Control. Netw. Syst. Lin Song, Neng Wan, Aditya Gahlawat, Chuyuan Tao, Naira Hovakimyan, Evangelos A. Theodorou
2023	J	`jnl`	Ls CoRR Zhuohuan Wu, Sheng Cheng, Pan Zhao, Aditya Gahlawat, Kasey A. Ackerman, Arun Lakshmanan, Chengyu Yang, Jiahao Yu, Naira Hovakimyan
2022	A*	`conf`	L1Adaptive Augmentation for Geometric Tracking Control of Quadrotors. ICRA Zhuohuan Wu, Sheng Cheng, Kasey A. Ackerman, Aditya Gahlawat, Arun Lakshmanan, Pan Zhao, Naira Hovakimyan
2022	J	`jnl`	Tube-Certified Trajectory Tracking for Nonlinear Systems With Robust Control Contraction Metrics. IEEE Robotics Autom. Lett. Pan Zhao, Arun Lakshmanan, Kasey A. Ackerman, Aditya Gahlawat, Marco Pavone, Naira Hovakimyan
2021	C	`conf`	Compositionality of Linearly Solvable Optimal Control in Networked Multi-Agent Systems. ACC Lin Song, Neng Wan, Aditya Gahlawat, Naira Hovakimyan, Evangelos A. Theodorou
2021	—	`conf`	Contraction ℒ L4DC Aditya Gahlawat, Arun Lakshmanan, Lin Song, Andrew Patterson, Zhuohuan Wu, Naira Hovakimyan, Evangelos A. Theodorou
2021	C	`conf`	Cooperative Path Integral Control for Stochastic Multi-Agent Systems. ACC Neng Wan, Aditya Gahlawat, Naira Hovakimyan, Evangelos A. Theodorou, Petros G. Voulgaris
2021	J	`jnl`	Distributed Algorithms for Linearly-Solvable Optimal Control in Networked Multi-Agent Systems. CoRR Neng Wan, Aditya Gahlawat, Naira Hovakimyan, Evangelos A. Theodorou, Petros G. Voulgaris
2021	J	`jnl`	Generalization of Safe Optimal Control Actions on Networked Multi-Agent Systems. CoRR Lin Song, Neng Wan, Aditya Gahlawat, Chuyuan Tao, Naira Hovakimyan, Evangelos A. Theodorou
2021	J	`jnl`	Guaranteed Contraction Control in the Presence of Imperfectly Learned Dynamics. CoRR Pan Zhao, Ziyao Guo, Yikun Cheng, Aditya Gahlawat, Naira Hovakimyan
2021	J	`jnl`	L CoRR Zhuohuan Wu, Sheng Cheng, Kasey A. Ackerman, Aditya Gahlawat, Arun Lakshmanan, Pan Zhao, Naira Hovakimyan
2021	C	`conf`	Risk-Sensitive Rendezvous Algorithm for Heterogeneous Agents in Urban Environments. ACC Gabriel Barsi Haberfeld, Aditya Gahlawat, Naira Hovakimyan
2021	J	`jnl`	Safe Sampling-Based Air-Ground Rendezvous Algorithm for Complex Urban Environments. CoRR Gabriel Barsi Haberfeld, Aditya Gahlawat, Naira Hovakimyan
2021	J	`jnl`	Tube-Certified Trajectory Tracking for Nonlinear Systems With Robust Control Contraction Metrics. CoRR Pan Zhao, Arun Lakshmanan, Kasey A. Ackerman, Aditya Gahlawat, Marco Pavone, Naira Hovakimyan
2020	J	`jnl`	$\mathcal{L}_1$-$\mathcal{GP}$: $\mathcal{L}_1$ Adaptive Control with Bayesian Learning. CoRR Aditya Gahlawat, Pan Zhao, Andrew Patterson, Naira Hovakimyan, Evangelos A. Theodorou
2020	J	`jnl`	Compositionality of Linearly Solvable Optimal Control in Networked Multi-Agent Systems. CoRR Lin Song, Neng Wan, Aditya Gahlawat, Naira Hovakimyan, Evangelos A. Theodorou
2020	J	`jnl`	Cooperative Path Integral Control for Stochastic Multi-Agent Systems. CoRR Neng Wan, Aditya Gahlawat, Naira Hovakimyan, Evangelos A. Theodorou, Petros G. Voulgaris
2020	—	`conf`	L1-GP: L1 Adaptive Control with Bayesian Learning. L4DC Aditya Gahlawat, Pan Zhao, Andrew Patterson, Naira Hovakimyan, Evangelos A. Theodorou
2020	J	`jnl`	Learning Probabilistic Intersection Traffic Models for Trajectory Prediction. CoRR Andrew Patterson, Aditya Gahlawat, Naira Hovakimyan
2020	J	`jnl`	RL CoRR Aditya Gahlawat, Arun Lakshmanan, Lin Song, Andrew Patterson, Zhuohuan Wu, Naira Hovakimyan, Evangelos A. Theodorou
2020	J	`jnl`	Risk Sensitive Rendezvous Algorithm for Heterogeneous Agents in Urban Environments. CoRR Gabriel Barsi Haberfeld, Aditya Gahlawat, Naira Hovakimyan
2020	J	`jnl`	Safe Feedback Motion Planning: A Contraction Theory and L CoRR Arun Lakshmanan, Aditya Gahlawat, Naira Hovakimyan
2020	—	`conf`	Safe Feedback Motion Planning: A Contraction Theory and ℒ1-Adaptive Control Based Approach. CDC Arun Lakshmanan, Aditya Gahlawat, Naira Hovakimyan
2020	J	`jnl`	Stability Analysis of Linear Partial Differential Equations With Generalized Energy Functions. IEEE Trans. Autom. Control. Aditya Gahlawat, Giorgio Valmorbida
2018	J	`jnl`	Learning to Communicate: A Machine Learning Framework for Heterogeneous Multi-Agent Robotic Systems. CoRR Hyung-Jin Yoon, Huaiyu Chen, Kehan Long, Heling Zhang, Aditya Gahlawat, Donghwan Lee, Naira Hovakimyan
2017	J	`jnl`	A Convex Sum-of-Squares Approach to Analysis, State Feedback and Output Feedback Control of Parabolic PDEs. IEEE Trans. Autom. Control. Aditya Gahlawat, Matthew M. Peet
2017	J	`jnl`	A Semi-Definite Programming Approach to Stability Analysis of Linear Partial Differential Equations. CoRR Aditya Gahlawat, Giorgio Valmorbida
2017	—	`conf`	A semi-definite programming approach to stability analysis of linear partial differential equations. CDC Aditya Gahlawat, Giorgio Valmorbida
2016	C	`conf`	Optimal state feedback boundary control of parabolic PDEs using SOS polynomials. ACC Aditya Gahlawat, Matthew M. Peet
2015	J	`jnl`	A Convex Approach to Analysis, State and Output Feedback Control Parabolic PDEs Using Sum-of-Squares. CoRR Aditya Gahlawat, Matthew M. Peet
2015	—	`—`	Analysis and control of parabolic partial differential equations with application to tokamaks using sum-of-squares polynomials. (Analyse et contrôle des équations aux dérivées partielles parabolique aide de polynômes somme des carrés avec une application sur les tokamaks). Aditya Gahlawat
2015	J	`jnl`	Output Feedback Control of Inhomogeneous Parabolic PDEs with Point Actuation and Point Measurement using SOS and Semi-Separable Kernels. CoRR Aditya Gahlawat, Matthew M. Peet
2015	—	`conf`	Output feedback control of inhomogeneous parabolic PDEs with point actuation and point measurement using SOS and semi-separable kernels. CDC Aditya Gahlawat, Matthew M. Peet
2014	J	`jnl`	A Convex Approach to Output Feedback Control of Parabolic PDEs Using Sum-of-Squares. CoRR Aditya Gahlawat, Matthew M. Peet
2012	—	`conf`	Bootstrap current optimization in Tokamaks using sum-of-squares polynomials. CDC Aditya Gahlawat, Emmanuel Witrant, Matthew M. Peet, Mazen Alamir
2011	—	`conf`	Designing observer-based controllers for PDE systems: A heat-conducting rod with point observation and boundary control. CDC/ECC Aditya Gahlawat, Matthew M. Peet