Aditya Gahlawat

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 32

Top Venues

Grenoble Alpes University, France (PHD)

Education History

Grenoble Alpes University, France

PHD

Publications

Pan Zhao, Ziyao Guo, Yikun Cheng, Aditya Gahlawat, Hyungsoo Kang, Naira Hovakimyan
Guaranteed Trajectory Tracking under Learned Dynamics with Contraction Metrics and Disturbance Estimation. Robotics 13 (7) (2024)
Minjun Sung, Sambhu H. Karumanchi, Aditya Gahlawat, Naira Hovakimyan
Adaptive Control. CoRR (2024)
Minjun Sung, Sambhu H. Karumanchi, Aditya Gahlawat, Naira Hovakimyan
Robust Model Based Reinforcement Learning Using L1 Adaptive Control. ICLR (2024)
Lin Song, Neng Wan, Aditya Gahlawat, Chuyuan Tao, Naira Hovakimyan, Evangelos A. Theodorou
Generalization of Safe Optimal Control Actions on Networked Multiagent Systems. IEEE Trans. Control. Netw. Syst. 10 (1) (2023)
Zhuohuan Wu, Sheng Cheng, Pan Zhao, Aditya Gahlawat, Kasey A. Ackerman, Arun Lakshmanan, Chengyu Yang, Jiahao Yu, Naira Hovakimyan
Adaptive Augmentation of Geometric Control for Agile Quadrotors with Performance Guarantees. CoRR (2023)
Zhuohuan Wu, Sheng Cheng, Kasey A. Ackerman, Aditya Gahlawat, Arun Lakshmanan, Pan Zhao, Naira Hovakimyan
L1Adaptive Augmentation for Geometric Tracking Control of Quadrotors. ICRA (2022)
Pan Zhao, Arun Lakshmanan, Kasey A. Ackerman, Aditya Gahlawat, Marco Pavone, Naira Hovakimyan
Tube-Certified Trajectory Tracking for Nonlinear Systems With Robust Control Contraction Metrics. IEEE Robotics Autom. Lett. 7 (2) (2022)
Zhuohuan Wu, Sheng Cheng, Kasey A. Ackerman, Aditya Gahlawat, Arun Lakshmanan, Pan Zhao, Naira Hovakimyan
Adaptive Augmentation for Geometric Tracking Control of Quadrotors. CoRR (2021)
Aditya Gahlawat, Arun Lakshmanan, Lin Song, Andrew Patterson, Zhuohuan Wu, Naira Hovakimyan, Evangelos A. Theodorou
-Adaptive Control using Gaussian Processes. L4DC (2021)
Lin Song, Neng Wan, Aditya Gahlawat, Naira Hovakimyan, Evangelos A. Theodorou
Compositionality of Linearly Solvable Optimal Control in Networked Multi-Agent Systems. ACC (2021)
Pan Zhao, Arun Lakshmanan, Kasey A. Ackerman, Aditya Gahlawat, Marco Pavone, Naira Hovakimyan
Tube-Certified Trajectory Tracking for Nonlinear Systems With Robust Control Contraction Metrics. CoRR (2021)
Lin Song, Neng Wan, Aditya Gahlawat, Chuyuan Tao, Naira Hovakimyan, Evangelos A. Theodorou
Generalization of Safe Optimal Control Actions on Networked Multi-Agent Systems. CoRR (2021)
Neng Wan, Aditya Gahlawat, Naira Hovakimyan, Evangelos A. Theodorou, Petros G. Voulgaris
Cooperative Path Integral Control for Stochastic Multi-Agent Systems. ACC (2021)
Gabriel Barsi Haberfeld, Aditya Gahlawat, Naira Hovakimyan
Risk-Sensitive Rendezvous Algorithm for Heterogeneous Agents in Urban Environments. ACC (2021)
Gabriel Barsi Haberfeld, Aditya Gahlawat, Naira Hovakimyan
Safe Sampling-Based Air-Ground Rendezvous Algorithm for Complex Urban Environments. CoRR (2021)
Neng Wan, Aditya Gahlawat, Naira Hovakimyan, Evangelos A. Theodorou, Petros G. Voulgaris
Distributed Algorithms for Linearly-Solvable Optimal Control in Networked Multi-Agent Systems. CoRR (2021)
Pan Zhao, Ziyao Guo, Yikun Cheng, Aditya Gahlawat, Naira Hovakimyan
Guaranteed Contraction Control in the Presence of Imperfectly Learned Dynamics. CoRR (2021)
Aditya Gahlawat, Arun Lakshmanan, Lin Song, Andrew Patterson, Zhuohuan Wu, Naira Hovakimyan, Evangelos A. Theodorou
-GP: Safe Simultaneous Learning and Control. CoRR (2020)
Gabriel Barsi Haberfeld, Aditya Gahlawat, Naira Hovakimyan
Risk Sensitive Rendezvous Algorithm for Heterogeneous Agents in Urban Environments. CoRR (2020)
Neng Wan, Aditya Gahlawat, Naira Hovakimyan, Evangelos A. Theodorou, Petros G. Voulgaris
Cooperative Path Integral Control for Stochastic Multi-Agent Systems. CoRR (2020)
Andrew Patterson, Aditya Gahlawat, Naira Hovakimyan
Learning Probabilistic Intersection Traffic Models for Trajectory Prediction. CoRR (2020)
Aditya Gahlawat, Giorgio Valmorbida
Stability Analysis of Linear Partial Differential Equations With Generalized Energy Functions. IEEE Trans. Autom. Control. 65 (5) (2020)
Lin Song, Neng Wan, Aditya Gahlawat, Naira Hovakimyan, Evangelos A. Theodorou
Compositionality of Linearly Solvable Optimal Control in Networked Multi-Agent Systems. CoRR (2020)
Arun Lakshmanan, Aditya Gahlawat, Naira Hovakimyan
Safe Feedback Motion Planning: A Contraction Theory and ℒ1-Adaptive Control Based Approach. CDC (2020)
Aditya Gahlawat, Pan Zhao, Andrew Patterson, Naira Hovakimyan, Evangelos A. Theodorou
$\mathcal{L}_1$-$\mathcal{GP}$: $\mathcal{L}_1$ Adaptive Control with Bayesian Learning. CoRR (2020)
Aditya Gahlawat, Pan Zhao, Andrew Patterson, Naira Hovakimyan, Evangelos A. Theodorou
L1-GP: L1 Adaptive Control with Bayesian Learning. L4DC (2020)
Arun Lakshmanan, Aditya Gahlawat, Naira Hovakimyan
-Adaptive Control Based Approach. CoRR (2020)
Hyung-Jin Yoon, Huaiyu Chen, Kehan Long, Heling Zhang, Aditya Gahlawat, Donghwan Lee, Naira Hovakimyan
Learning to Communicate: A Machine Learning Framework for Heterogeneous Multi-Agent Robotic Systems. CoRR (2018)
Aditya Gahlawat, Giorgio Valmorbida
A semi-definite programming approach to stability analysis of linear partial differential equations. CDC (2017)
Aditya Gahlawat, Giorgio Valmorbida
A Semi-Definite Programming Approach to Stability Analysis of Linear Partial Differential Equations. CoRR (2017)
Aditya Gahlawat, Matthew M. Peet
A Convex Sum-of-Squares Approach to Analysis, State Feedback and Output Feedback Control of Parabolic PDEs. IEEE Trans. Autom. Control. 62 (4) (2017)
Aditya Gahlawat, Matthew M. Peet
Optimal state feedback boundary control of parabolic PDEs using SOS polynomials. ACC (2016)
Aditya Gahlawat, Matthew M. Peet
Output Feedback Control of Inhomogeneous Parabolic PDEs with Point Actuation and Point Measurement using SOS and Semi-Separable Kernels. CoRR (2015)
Aditya Gahlawat, Matthew M. Peet
A Convex Approach to Analysis, State and Output Feedback Control Parabolic PDEs Using Sum-of-Squares. CoRR (2015)
Aditya Gahlawat, Matthew M. Peet
Output feedback control of inhomogeneous parabolic PDEs with point actuation and point measurement using SOS and semi-separable kernels. CDC (2015)
Aditya Gahlawat, Matthew M. Peet
A Convex Approach to Output Feedback Control of Parabolic PDEs Using Sum-of-Squares. CoRR (2014)
Aditya Gahlawat, Emmanuel Witrant, Matthew M. Peet, Mazen Alamir
Bootstrap current optimization in Tokamaks using sum-of-squares polynomials. CDC (2012)
Aditya Gahlawat, Matthew M. Peet
Designing observer-based controllers for PDE systems: A heat-conducting rod with point observation and boundary control. CDC/ECC (2011)

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Publication Activity (10 Years)

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Aditya Gahlawat