activity
20172023
most citedSE(3) Koopman-MPC: Data-driven Learning and Control of Quadrotor UAVs

33 citations · 72 across the 18 of their papers we have counts for

collaborators
Showing 2023Show all

5 papers · 1 filter

math.DS2023

Path-Integral Formula for Computing Koopman Eigenfunctions

Shankar A. Deka, Sriram S. K. S. Narayanan, Umesh Vaidya

The paper is about the computation of the principal spectrum of the Koopman operator (i.e., eigenvalues and eigenfunctions). The principal eigenfunctions of the Koopman operator ar…

cs.RO2023★ 10 cited

Safe Navigation using Density Functions

Andrew Zheng, Sriram S. K. S. Narayanan, Umesh Vaidya

This paper presents a novel approach for safe control synthesis using the dual formulation of the navigation problem. The main contribution of this paper is in the analytical const…

math.OC2023

Data-driven optimal control under safety constraints using sparse Koopman approximation

Hongzhe Yu, Joseph Moyalan, Umesh Vaidya +1

In this work we approach the dual optimal reach-safe control problem using sparse approximations of Koopman operator. Matrix approximation of Koopman operator needs to solve a leas…

cs.RO2023

Off-Road Navigation of Legged Robots Using Linear Transfer Operators

Joseph Moyalan, Andrew Zheng, Sriram S. K. S Narayanan +1

This paper presents the implementation of off-road navigation on legged robots using convex optimization through linear transfer operators. Given a traversability measure that capt…

cs.RO2023★ 33 cited

SE(3) Koopman-MPC: Data-driven Learning and Control of Quadrotor UAVs

Sriram S. K. S. Narayanan, Duvan Tellez-Castro, Sarang Sutavani +1

In this paper, we propose a novel data-driven approach for learning and control of quadrotor UAVs based on the Koopman operator and extended dynamic mode decomposition (EDMD). Buil…