activity
20192024
most citedMarkovian Interference in Experiments

18 citations · 35 across the 8 of their papers we have counts for

collaborators

8 papers

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…

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.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.LG2022★ 18 cited

Markovian Interference in Experiments

Vivek F. Farias, Andrew A. Li, Tianyi Peng +1

We consider experiments in dynamical systems where interventions on some experimental units impact other units through a limiting constraint (such as a limited inventory). Despite…

stat.ML2022★ 4 cited

Synthetically Controlled Bandits

Vivek Farias, Ciamac Moallemi, Tianyi Peng +1

This paper presents a new dynamic approach to experiment design in settings where, due to interference or other concerns, experimental units are coarse. `Region-split' experiments…

stat.CO2019★ 2 cited

Computing Estimators of Dantzig Selector type via Column and Constraint Generation

Rahul Mazumder, Stephen Wright, Andrew Zheng

We consider a class of linear-programming based estimators in reconstructing a sparse signal from linear measurements. Specific formulations of the reconstruction problem considere…