Aditya Gahlawat

According to our database, Aditya Gahlawat authored at least 33 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Guaranteed Trajectory Tracking under Learned Dynamics with Contraction Metrics and Disturbance Estimation.

Pan Zhao, Ziyao Guo, Yikun Cheng, Aditya Gahlawat, Hyungsoo Kang, Naira Hovakimyan

Robotics, July, 2024

Robust Model Based Reinforcement Learning Using L₁ Adaptive Control.

Minjun Sung, Sambhu H. Karumanchi, Aditya Gahlawat, Naira Hovakimyan

CoRR, 2024

Robust Model Based Reinforcement Learning Using L1 Adaptive Control.

Minjun Sung, Sambhu H. Karumanchi, Aditya Gahlawat, Naira Hovakimyan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Generalization of Safe Optimal Control Actions on Networked Multiagent Systems.

Lin Song, Neng Wan, Aditya Gahlawat, Chuyuan Tao, Naira Hovakimyan, Evangelos A. Theodorou

IEEE Trans. Control. Netw. Syst., March, 2023

Ls₁Quad: L₁ Adaptive Augmentation of Geometric Control for Agile Quadrotors with Performance Guarantees.

Zhuohuan Wu, Sheng Cheng, Pan Zhao, Aditya Gahlawat, Kasey A. Ackerman, Arun Lakshmanan, Chengyu Yang, Jiahao Yu, Naira Hovakimyan

CoRR, 2023

2022

Tube-Certified Trajectory Tracking for Nonlinear Systems With Robust Control Contraction Metrics.

Pan Zhao, Arun Lakshmanan, Kasey A. Ackerman, Aditya Gahlawat, Marco Pavone, Naira Hovakimyan

IEEE Robotics Autom. Lett., 2022

L1Adaptive Augmentation for Geometric Tracking Control of Quadrotors.

Zhuohuan Wu, Sheng Cheng, Kasey A. Ackerman, Aditya Gahlawat, Arun Lakshmanan, Pan Zhao, Naira Hovakimyan

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Guaranteed Contraction Control in the Presence of Imperfectly Learned Dynamics.

Pan Zhao, Ziyao Guo, Yikun Cheng, Aditya Gahlawat, Naira Hovakimyan

CoRR, 2021

Generalization of Safe Optimal Control Actions on Networked Multi-Agent Systems.

Lin Song, Neng Wan, Aditya Gahlawat, Chuyuan Tao, Naira Hovakimyan, Evangelos A. Theodorou

CoRR, 2021

L₁ Adaptive Augmentation for Geometric Tracking Control of Quadrotors.

Zhuohuan Wu, Sheng Cheng, Kasey A. Ackerman, Aditya Gahlawat, Arun Lakshmanan, Pan Zhao, Naira Hovakimyan

CoRR, 2021

Safe Sampling-Based Air-Ground Rendezvous Algorithm for Complex Urban Environments.

Gabriel Barsi Haberfeld, Aditya Gahlawat, Naira Hovakimyan

CoRR, 2021

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

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

CoRR, 2021

Contraction ℒ₁-Adaptive Control using Gaussian Processes.

Aditya Gahlawat, Arun Lakshmanan, Lin Song, Andrew Patterson, Zhuohuan Wu, Naira Hovakimyan, Evangelos A. Theodorou

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Cooperative Path Integral Control for Stochastic Multi-Agent Systems.

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

Proceedings of the 2021 American Control Conference, 2021

Compositionality of Linearly Solvable Optimal Control in Networked Multi-Agent Systems.

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

Proceedings of the 2021 American Control Conference, 2021

Risk-Sensitive Rendezvous Algorithm for Heterogeneous Agents in Urban Environments.

Gabriel Barsi Haberfeld, Aditya Gahlawat, Naira Hovakimyan

Proceedings of the 2021 American Control Conference, 2021

2020

Stability Analysis of Linear Partial Differential Equations With Generalized Energy Functions.

Aditya Gahlawat, Giorgio Valmorbida

IEEE Trans. Autom. Control., 2020

RL₁-GP: Safe Simultaneous Learning and Control.

Aditya Gahlawat, Arun Lakshmanan, Lin Song, Andrew Patterson, Zhuohuan Wu, Naira Hovakimyan, Evangelos A. Theodorou

CoRR, 2020

$\mathcal{L}_1$-$\mathcal{GP}$: $\mathcal{L}_1$ Adaptive Control with Bayesian Learning.

Aditya Gahlawat, Pan Zhao, Andrew Patterson, Naira Hovakimyan, Evangelos A. Theodorou

CoRR, 2020

Safe Feedback Motion Planning: A Contraction Theory and L₁-Adaptive Control Based Approach.

Arun Lakshmanan, Aditya Gahlawat, Naira Hovakimyan

CoRR, 2020

Learning Probabilistic Intersection Traffic Models for Trajectory Prediction.

Andrew Patterson, Aditya Gahlawat, Naira Hovakimyan

CoRR, 2020

L1-GP: L1 Adaptive Control with Bayesian Learning.

Aditya Gahlawat, Pan Zhao, Andrew Patterson, Naira Hovakimyan, Evangelos A. Theodorou

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Safe Feedback Motion Planning: A Contraction Theory and ℒ1-Adaptive Control Based Approach.

Arun Lakshmanan, Aditya Gahlawat, Naira Hovakimyan

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2018

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

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

CoRR, 2018

2017

A Convex Sum-of-Squares Approach to Analysis, State Feedback and Output Feedback Control of Parabolic PDEs.

Aditya Gahlawat, Matthew M. Peet

IEEE Trans. Autom. Control., 2017

A semi-definite programming approach to stability analysis of linear partial differential equations.

Aditya Gahlawat, Giorgio Valmorbida

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016

Optimal state feedback boundary control of parabolic PDEs using SOS polynomials.

Aditya Gahlawat, Matthew M. Peet

Proceedings of the 2016 American Control Conference, 2016

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

PhD thesis, 2015

A Convex Approach to Analysis, State and Output Feedback Control Parabolic PDEs Using Sum-of-Squares.

Aditya Gahlawat, Matthew M. Peet

CoRR, 2015

Output feedback control of inhomogeneous parabolic PDEs with point actuation and point measurement using SOS and semi-separable kernels.

Aditya Gahlawat, Matthew M. Peet

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014

A Convex Approach to Output Feedback Control of Parabolic PDEs Using Sum-of-Squares.

Aditya Gahlawat, Matthew M. Peet

CoRR, 2014

2012

Bootstrap current optimization in Tokamaks using sum-of-squares polynomials.

Aditya Gahlawat, Emmanuel Witrant, Matthew M. Peet, Mazen Alamir

Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011

Designing observer-based controllers for PDE systems: A heat-conducting rod with point observation and boundary control.

Aditya Gahlawat, Matthew M. Peet

Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011