activity
20222026
most citedSE(3) Koopman-MPC: Data-driven Learning and Control of Quadrotor UAVs

33 citations · 44 across the 11 of their papers we have counts for

collaborators

12 papers

cs.RO2026

Safe Multi-Robot Collaborative Transport Using Density Functions

Jagannath Prasad Sahoo, Sriram S. K. S. Narayanan, Umesh Vaidya

This paper presents a hierarchical density-based model predictive control framework for safe collaborative manipulation by multiple quadrupedal robots. The framework enables a team…

eess.SY2025

Safety Critical Model Predictive Control Using Discrete-Time Control Density Functions

Sriram S. K. S. Narayanan, Sajad Ahmadi, Javad Mohammadpour Velni +1

This paper presents MPC-CDF, a new approach integrating control density functions (CDFs) within a model predictive control (MPC) framework to ensure safety-critical control in nonl…

cs.RO2024

Safe Navigation in Dynamic Environments using Density Functions

Sriram S. K. S Narayanan, Joseph Moyalan, Umesh Vaidya

This work presents a density-based framework for safe navigation in dynamic environments characterized by time-varying obstacle sets and time-varying target regions. We propose an…

eess.SY2024

Control Density Function for Robust Safety and Convergence

Joseph Moyalan, Sriram S. K. S Narayanan, Umesh Vaidya

We introduce a novel approach for safe control design based on the density function. A control density function (CDF) is introduced to synthesize a safe controller for a nonlinear…

eess.SY2024

Synthesizing Controller for Safe Navigation using Control Density Function

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

We consider the problem of navigating a nonlinear dynamical system from some initial set to some target set while avoiding collision with an unsafe set. We extend the concept of de…

cs.RO2023

Safe Motion Planning for Quadruped Robots Using Density Functions

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

This paper presents a motion planning algorithm for quadruped locomotion based on density functions. We decompose the locomotion problem into a high-level density planner and a mod…

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…

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…

cs.RO2022★ 1 cited

Optimal Control for Quadruped Locomotion using LTV MPC

Andrew Zheng, Sriram S. K. S Narayanan

This paper presents a state-of-the-art optimal controller for quadruped locomotion. The robot dynamics is represented using a single rigid body (SRB) model. A linear time-varying m…

cs.CV2022

Long-HOT: A Modular Hierarchical Approach for Long-Horizon Object Transport

Sriram Narayanan, Dinesh Jayaraman, Manmohan Chandraker

We address key challenges in long-horizon embodied exploration and navigation by proposing a new object transport task and a novel modular framework for temporally extended navigat…