Venkatraman Renganathan

According to our database, Venkatraman Renganathan authored at least 19 papers between 2017 and 2023.

Collaborative distances:

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

2023

Distributed Adaptive Control for Uncertain Networks.

Venkatraman Renganathan, Anders Rantzer, Olle Kjellqvist

CoRR, 2023

Regret and Conservatism of Constrained Stochastic Model Predictive Control.

Maik Pfefferkorn, Venkatraman Renganathan, Rolf Findeisen

CoRR, 2023

Risk bounded nonlinear robot motion planning with integrated perception & control.

Venkatraman Renganathan, Sleiman Safaoui, Aadi Kothari, Benjamin Gravell, Iman Shames, Tyler H. Summers

Artif. Intell., 2023

Distributionally Robust RRT with Risk Allocation.

Kajsa Ekenberg, Venkatraman Renganathan, Björn Olofsson

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Path Planning Using Wasserstein Distributionally Robust Deep Q-learning.

Cem Alptürk, Venkatraman Renganathan

Proceedings of the European Control Conference, 2023

An Online Learning Analysis of Minimax Adaptive Control.

Venkatraman Renganathan, Andrea Iannelli, Anders Rantzer

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Distributionally Robust Covariance Steering with Optimal Risk Allocation.

Venkatraman Renganathan, Joshua Pilipovsky, Panagiotis Tsiotras

Proceedings of the American Control Conference, 2023

2022

Spoof Resilient Coordination in Distributed and Robust Robotic Networks.

Venkatraman Renganathan, Kaveh Fathian, Sleiman Safaoui, Tyler H. Summers

IEEE Trans. Control. Syst. Technol., 2022

Higher-Order Moment-Based Anomaly Detection.

Venkatraman Renganathan, Navid Hashemi, Justin Ruths, Tyler H. Summers

IEEE Control. Syst. Lett., 2022

Anomaly Detection Under Multiplicative Noise Model Uncertainty.

Venkatraman Renganathan, Benjamin J. Gravell, Justin Ruths, Tyler H. Summers

IEEE Control. Syst. Lett., 2022

Regret Analysis for Risk-aware Linear Quadratic Control.

Venkatraman Renganathan, Dongjun Wu

CoRR, 2022

Path Planning Using Wassertein Distributionally Robust Deep Q-learning.

Cem Alptürk, Venkatraman Renganathan

CoRR, 2022

Distributed Implementation of Minimax Adaptive Controller For Finite Set of Linear Systems.

Venkatraman Renganathan, Anders Rantzer, Olle Kjellqvist

CoRR, 2022

History Data Driven Distributed Consensus in Networks.

Venkatraman Renganathan, Angela Fontan, Karthik Ganapathy

CoRR, 2022

2021

Risk-Averse RRT* Planning with Nonlinear Steering and Tracking Controllers for Nonlinear Robotic Systems Under Uncertainty.

Sleiman Safaoui, Benjamin J. Gravell, Venkatraman Renganathan, Tyler H. Summers

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020

Towards Integrated Perception and Motion Planning with Distributionally Robust Risk Constraints.

Venkatraman Renganathan, Iman Shames, Tyler H. Summers

CoRR, 2020

Distributionally Robust Tuning of Anomaly Detectors in Cyber-Physical Systems with Stealthy Attacks.

Venkatraman Renganathan, Navid Hashemi, Justin Ruths, Tyler H. Summers

Proceedings of the 2020 American Control Conference, 2020

Hierarchical MPC with Coordinating Terminal Costs.

Vignesh Raghuraman, Venkatraman Renganathan, Tyler H. Summers, Justin P. Koeln

Proceedings of the 2020 American Control Conference, 2020

2017

Spoof resilient coordination for distributed multi-robot systems.

Venkatraman Renganathan, Tyler H. Summers

Proceedings of the 2017 International Symposium on Multi-Robot and Multi-Agent Systems (MRS), 2017