Sambhu H. Karumanchi

activity

20202025

most citedClosed-Loop Benchmarking of Stereo Visual-Inertial SLAM Systems: Understanding the Impact of Drift and Latency on Tracking Accuracy

1 citations · 1 across the 5 of their papers we have counts for

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eess.SY2025

$L_{1}$ -DRAC: Distributionally Robust Adaptive Control

Aditya Gahlawat, Sambhu H. Karumanchi, Naira Hovakimyan

Data-driven machine learning methodologies have attracted considerable attention for the control and estimation of dynamical systems. However, such implementations suffer from a la…

eess.SY2025

Wasserstein Distributionally Robust Adaptive Covariance Steering

Aditya Gahlawat, Vivek Khatana, Duo Wang +3

We present a methodology for predictable and safe covariance steering control of uncertain nonlinear stochastic processes. The systems under consideration are subject to general un…

eess.SY2024

Robust Model Based Reinforcement Learning Using $L_{1}$ Adaptive Control

Minjun Sung, Sambhu H. Karumanchi, Aditya Gahlawat +1

We introduce $L_{1}$ -MBRL, a control-theoretic augmentation scheme for Model-Based Reinforcement Learning (MBRL) algorithms. Unlike model-free approaches, MBRL algorithms l…

L1​-DRAC: Distributionally Robust Adaptive Control

Wasserstein Distributionally Robust Adaptive Covariance Steering

Robust Model Based Reinforcement Learning Using L1​ Adaptive Control

$L_{1}$ -DRAC: Distributionally Robust Adaptive Control

Robust Model Based Reinforcement Learning Using $L_{1}$ Adaptive Control