M. Ani Hsieh

M. Ani Hsieh

University of Pennsylvania

H-index: 28

North America-United States

About M. Ani Hsieh

M. Ani Hsieh, With an exceptional h-index of 28 and a recent h-index of 21 (since 2020), a distinguished researcher at University of Pennsylvania, specializes in the field of robotics, control theory, multi-robot systems, swarm robotics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Local Input-to-State Stability for Consensus in the Presence of Intermittent Communication and Input Saturation

M3ed: Multi-robot, multi-sensor, multi-environment event dataset

Enabling Large-scale Heterogeneous Collaboration with Opportunistic Communications

LEARNEST: LEARNing Enhanced Model-based State ESTimation for Robots using Knowledge-based Neural Ordinary Differential Equations

When Swarms Collide: Using one swarm to capture another

Uncertainty Quantification for Learning-based MPC using Weighted Conformal Prediction

TOPPQuad: Dynamically-Feasible Time Optimal Path Parametrization for Quadrotors

Safety filter design for neural network systems via convex optimization

M. Ani Hsieh Information

University

Position

Mechanical Engineering & Applied Mechanics

Citations(all)

3259

Citations(since 2020)

1551

Cited By

2313

hIndex(all)

28

hIndex(since 2020)

21

i10Index(all)

62

i10Index(since 2020)

43

Email

University Profile Page

University of Pennsylvania

Google Scholar

View Google Scholar Profile

M. Ani Hsieh Skills & Research Interests

robotics

control theory

multi-robot systems

swarm robotics

Top articles of M. Ani Hsieh

Title

Journal

Author(s)

Publication Date

Local Input-to-State Stability for Consensus in the Presence of Intermittent Communication and Input Saturation

Thales C Silva

M Ani Hsieh

2023/12/13

M3ed: Multi-robot, multi-sensor, multi-environment event dataset

Kenneth Chaney

Fernando Cladera

Ziyun Wang

Anthony Bisulco

M Ani Hsieh

...

2023

Enabling Large-scale Heterogeneous Collaboration with Opportunistic Communications

arXiv preprint arXiv:2309.15975

Fernando Cladera

Zachary Ravichandran

Ian D Miller

M Ani Hsieh

CJ Taylor

...

2023/9/27

LEARNEST: LEARNing Enhanced Model-based State ESTimation for Robots using Knowledge-based Neural Ordinary Differential Equations

Kong Yao Chee

M Ani Hsieh

2023/5/29

When Swarms Collide: Using one swarm to capture another

APS March Meeting Abstracts

Ira Schwartz

Jason Hindes

M Hsieh

Victoria Edwards

Sayomi Kamimoto

2023

Uncertainty Quantification for Learning-based MPC using Weighted Conformal Prediction

Kong Yao Chee

M Ani Hsieh

George J Pappas

2023/12/13

TOPPQuad: Dynamically-Feasible Time Optimal Path Parametrization for Quadrotors

arXiv preprint arXiv:2309.11637

Katherine Mao

Igor Spasojevic

M Ani Hsieh

Vijay Kumar

2023/9/20

Safety filter design for neural network systems via convex optimization

Shaoru Chen

Kong Yao Chee

Nikolai Matni

M Ani Hsieh

George J Pappas

2023/12/13

Leveraging Predictive Models for Adaptive Sampling of Spatiotemporal Fluid Processes

arXiv preprint arXiv:2304.00732

Sandeep Manjanna

Tom Z Jiahao

M Ani Hsieh

2023/4/3

On Collaborative Robot Teams for Environmental Monitoring: A Macroscopic Ensemble Approach

Victoria Edwards

Thales C Silva

Bharg Mehta

Jasleen Dhanoa

M Ani Hsieh

2023/10/1

Learning-enhanced nonlinear model predictive control using knowledge-based neural ordinary differential equations and deep ensembles

Kong Yao Chee

M Ani Hsieh

Nikolai Matni

2023/6/6

Heterogeneous robot teams for modeling and prediction of multiscale environmental processes

Autonomous Robots

Tahiya Salam

M Ani Hsieh

2023/4

Energy-Efficient Team Orienteering Problem in the Presence of Time-Varying Ocean Currents

Ariella Mansfield

Douglas G Macharet

M Ani Hsieh

2023/10/1

Trajectory Planning for the Bidirectional Quadrotor as a Differentially Flat Hybrid System

Katherine Mao

Jake Welde

M Ani Hsieh

Vijay Kumar

2023/5/29

Online dynamics learning for predictive control with an application to aerial robots

Tom Z Jiahao

Kong Yao Chee

M Ani Hsieh

2023/3/6

Enhancing Sample Efficiency and Uncertainty Compensation in Learning-Based Model Predictive Control for Aerial Robots

Kong Yao Chee

Thales C Silva

M Ani Hsieh

George J Pappas

2023/10/1

Flow-based rendezvous and docking for marine modular robots in gyre-like environments

Gedaliah Knizhnik

Peihan Li

Mark Yim

M Ani Hsieh

2023/5/29

Learning and leveraging features in flow-like environments to improve situational awareness

IEEE Robotics and Automation Letters

Tahiya Salam

Victoria Edwards

M Ani Hsieh

2022/1/11

Ev-catcher: High-speed object catching using low-latency event-based neural networks

IEEE Robotics and Automation Letters

Ziyun Wang

Fernando Cladera Ojeda

Anthony Bisulco

Daewon Lee

Camillo J Taylor

...

2022/7/4

Marlas: Multi agent reinforcement learning for cooperated adaptive sampling

Lishuo Pan

Sandeep Manjanna

M Ani Hsieh

2022/11/28

See List of Professors in M. Ani Hsieh University(University of Pennsylvania)

Co-Authors

H-index: 130
Vijay Kumar

Vijay Kumar

University of Pennsylvania

H-index: 57
Camillo Jose Taylor

Camillo Jose Taylor

University of Pennsylvania

H-index: 37
Herbert Tanner

Herbert Tanner

University of Delaware

H-index: 28
Amanda Prorok

Amanda Prorok

University of Cambridge

H-index: 28
Luiz Chaimowicz

Luiz Chaimowicz

Universidade Federal de Minas Gerais

H-index: 27
Ben Grocholsky

Ben Grocholsky

Carnegie Mellon University

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