Venkatraman Renganathan

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 29

Top Topics

Robust Optimization

Online Learning

Top Venues

IEEE Control. Syst. Lett.

Publications

Adrien Banse, Venkatraman Renganathan, Raphaël M. Jungers
A Cantor-Kantorovich Metric Between Markov Decision Processes with Application to Transfer Learning. CoRR (2024)
Venkatraman Renganathan, Anders Rantzer, Olle Kjellqvist
Distributed Adaptive Control For Uncertain Networks. ECC (2024)
Venkatraman Renganathan, Andrea Iannelli, Anders Rantzer
An Online Learning Analysis of Minimax Adaptive Control. CDC (2023)
Venkatraman Renganathan, Joshua Pilipovsky, Panagiotis Tsiotras
Distributionally Robust Covariance Steering with Optimal Risk Allocation. ACC (2023)
Cem Alptürk, Venkatraman Renganathan
Path Planning Using Wasserstein Distributionally Robust Deep Q-learning. ECC (2023)
Maik Pfefferkorn, Venkatraman Renganathan, Rolf Findeisen
Regret and Conservatism of Constrained Stochastic Model Predictive Control. CoRR (2023)
Venkatraman Renganathan, Andrea Iannelli, Anders Rantzer
An Online Learning Analysis of Minimax Adaptive Control. CoRR (2023)
Kajsa Ekenberg, Venkatraman Renganathan, Björn Olofsson
Distributionally Robust RRT with Risk Allocation. ICRA (2023)
Venkatraman Renganathan, Sleiman Safaoui, Aadi Kothari, Benjamin Gravell, Iman Shames, Tyler H. Summers
Risk bounded nonlinear robot motion planning with integrated perception & control. Artif. Intell. 314 (2023)
Venkatraman Renganathan, Anders Rantzer, Olle Kjellqvist
Distributed Adaptive Control for Uncertain Networks. CoRR (2023)
Venkatraman Renganathan, Benjamin J. Gravell, Justin Ruths, Tyler H. Summers
Anomaly Detection Under Multiplicative Noise Model Uncertainty. IEEE Control. Syst. Lett. 6 (2022)
Venkatraman Renganathan, Navid Hashemi, Justin Ruths, Tyler H. Summers
Higher-Order Moment-Based Anomaly Detection. IEEE Control. Syst. Lett. 6 (2022)
Venkatraman Renganathan, Sleiman Safaoui, Aadi Kothari, Benjamin Gravell, Iman Shames, Tyler H. Summers
Risk Bounded Nonlinear Robot Motion Planning With Integrated Perception & Control. CoRR (2022)
Venkatraman Renganathan, Anders Rantzer, Olle Kjellqvist
Distributed Implementation of Minimax Adaptive Controller For Finite Set of Linear Systems. CoRR (2022)
Venkatraman Renganathan, Angela Fontan, Karthik Ganapathy
History Data Driven Distributed Consensus in Networks. CoRR (2022)
Kajsa Ekenberg, Venkatraman Renganathan, Bjorn Olofsson
Distributionally Robust RRT with Risk Allocation. CoRR (2022)
Cem Alpturk, Venkatraman Renganathan
Path Planning Using Wassertein Distributionally Robust Deep Q-learning. CoRR (2022)
Venkatraman Renganathan, Joshua Pilipovsky, Panagiotis Tsiotras
Distributionally Robust Covariance Steering with Optimal Risk Allocation. CoRR (2022)
Venkatraman Renganathan, Kaveh Fathian, Sleiman Safaoui, Tyler H. Summers
Spoof Resilient Coordination in Distributed and Robust Robotic Networks. IEEE Trans. Control. Syst. Technol. 30 (2) (2022)
Venkatraman Renganathan, Dongjun Wu
Regret Analysis for Risk-aware Linear Quadratic Control. CoRR (2022)
Sleiman Safaoui, Benjamin J. Gravell, Venkatraman Renganathan, Tyler H. Summers
Risk-Averse RRT* Planning with Nonlinear Steering and Tracking Controllers for Nonlinear Robotic Systems Under Uncertainty. IROS (2021)
Venkatraman Renganathan, Benjamin J. Gravell, Justin Ruths, Tyler H. Summers
Anomaly Detection Under Multiplicative Noise Model Uncertainty. CoRR (2021)
Sleiman Safaoui, Benjamin J. Gravell, Venkatraman Renganathan, Tyler H. Summers
Risk-Averse RRT* Planning with Nonlinear Steering and Tracking Controllers for Nonlinear Robotic Systems Under Uncertainty. CoRR (2021)
Venkatraman Renganathan, Iman Shames, Tyler H. Summers
Towards Integrated Perception and Motion Planning with Distributionally Robust Risk Constraints. CoRR (2020)
Venkatraman Renganathan, Navid Hashemi, Justin Ruths, Tyler H. Summers
Distributionally Robust Tuning of Anomaly Detectors in Cyber-Physical Systems with Stealthy Attacks. ACC (2020)
Venkatraman Renganathan, Navid Hashemi, Justin Ruths, Tyler H. Summers
Higher-Order Moment-Based Anomaly Detection. CoRR (2020)
Vignesh Raghuraman, Venkatraman Renganathan, Tyler H. Summers, Justin P. Koeln
Hierarchical MPC with Coordinating Terminal Costs. ACC (2020)
Venkatraman Renganathan, Navid Hashemi, Justin Ruths, Tyler H. Summers
Distributionally Robust Tuning of Anomaly Detectors in Cyber-Physical Systems with Stealthy Attacks. CoRR (2019)
Venkatraman Renganathan, Tyler H. Summers
Spoof resilient coordination for distributed multi-robot systems. MRS (2017)