M. Ani Hsieh

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 101

Top Venues

Publications

Kong Yao Chee, Thales C. Silva, M. Ani Hsieh, George J. Pappas
Uncertainty quantification and robustification of model-based controllers using conformal prediction. L4DC (2024)
Fernando Cladera Ojeda, Ian D. Miller, Zachary Ravichandran, Varun Murali, Jason Hughes, M. Ani Hsieh, Camillo J. Taylor, Vijay Kumar
Challenges and Opportunities for Large-Scale Exploration with Air-Ground Teams using Semantics. CoRR (2024)
Fernando Cladera Ojeda, Zachary Ravichandran, Ian D. Miller, M. Ani Hsieh, Camillo J. Taylor, Vijay Kumar
Enabling Large-scale Heterogeneous Collaboration with Opportunistic Communications. ICRA (2024)
M. Ani Hsieh, Dylan A. Shell
Selected papers from RSS2021. Int. J. Robotics Res. 42 (10) (2023)
Tahiya Salam, M. Ani Hsieh
Heterogeneous robot teams for modeling and prediction of multiscale environmental processes. Auton. Robots 47 (4) (2023)
Kong Yao Chee, M. Ani Hsieh, George J. Pappas
Uncertainty Quantification for Learning-based MPC using Weighted Conformal Prediction. CDC (2023)
Katherine Mao, Igor Spasojevic, M. Ani Hsieh, Vijay Kumar
TOPPQuad: Dynamically-Feasible Time Optimal Path Parametrization for Quadrotors. CoRR (2023)
Alice Kate Li, Yue Mao, Sandeep Manjanna, Sixuan Liu, Jasleen Dhanoa, Bharg Mehta, Victoria M. Edwards, Fernando Cladera Ojeda, Maël Le Men, Eric Sigg, Hugo N. Ulloa, Douglas J. Jerolmack, M. Ani Hsieh
Towards Understanding Underwater Weather Events in Rivers Using Autonomous Surface Vehicles. CoRR (2023)
Fernando Cladera Ojeda, Zachary Ravichandran, Ian D. Miller, M. Ani Hsieh, Camillo J. Taylor, Vijay Kumar
Enabling Large-scale Heterogeneous Collaboration with Opportunistic Communications. CoRR (2023)
Alysson Ribeiro Da Silva, Luiz Chaimowicz, Vijay Kumar, Thales Costa Silva, M. Ani Hsieh
Communication-Constrained Multi-Robot Exploration with Intermittent Rendezvous. CoRR (2023)
Gedaliah Knizhnik, Peihan Li, Mark Yim, M. Ani Hsieh
Flow-Based Rendezvous and Docking for Marine Modular Robots in Gyre-Like Environments. ICRA (2023)
Tahiya Salam, Alice Kate Li, M. Ani Hsieh
Online Estimation of the Koopman Operator Using Fourier Features. L4DC (2023)
M. Ani Hsieh, Dylan A. Shell
Editorial. Auton. Robots 47 (5) (2023)
Thales C. Silva, M. Ani Hsieh
Local Input-to-State Stability for Consensus in the Presence of Intermittent Communication and Input Saturation. CDC (2023)
Kong Yao Chee, M. Ani Hsieh, Nikolai Matni
Learning-enhanced Nonlinear Model Predictive Control using Knowledge-based Neural Ordinary Differential Equations and Deep Ensembles. L4DC (2023)
Kong Yao Chee, Thales C. Silva, M. Ani Hsieh, George J. Pappas
Enhancing Sample Efficiency and Uncertainty Compensation in Learning-based Model Predictive Control for Aerial Robots. CoRR (2023)
Victoria Edwards, Thales C. Silva, Bharg Mehta, Jasleen Dhanoa, M. Ani Hsieh
On Collaborative Robot Teams for Environmental Monitoring: A Macroscopic Ensemble Approach. IROS (2023)
Kong Yao Chee, M. Ani Hsieh
LEARNEST: LEARNing Enhanced Model-based State ESTimation for Robots using Knowledge-based Neural Ordinary Differential Equations. ICRA (2023)
Kenneth Chaney, Fernando Cladera Ojeda, Ziyun Wang, Anthony Bisulco, M. Ani Hsieh, Christopher M. Korpela, Vijay Kumar, Camillo J. Taylor, Kostas Daniilidis
M3ED: Multi-Robot, Multi-Sensor, Multi-Environment Event Dataset. CVPR Workshops (2023)
Ziyun Wang, Fernando Cladera Ojeda, Anthony Bisulco, Daewon Lee, Camillo J. Taylor, Kostas Daniilidis, M. Ani Hsieh, Daniel D. Lee, Volkan Isler
EV-Catcher: High-Speed Object Catching Using Low-latency Event-based Neural Networks. CoRR (2023)
Katherine Mao, Jake Welde, M. Ani Hsieh, Vijay Kumar
Trajectory Planning for the Bidirectional Quadrotor as a Differentially Flat Hybrid System. ICRA (2023)
Kong Yao Chee, Thales C. Silva, M. Ani Hsieh, George J. Pappas
Enhancing Sample Efficiency and Uncertainty Compensation in Learning-Based Model Predictive Control for Aerial Robots. IROS (2023)
Sandeep Manjanna, Tom Z. Jiahao, M. Ani Hsieh
Leveraging Predictive Models for Adaptive Sampling of Spatiotemporal Fluid Processes. CoRR (2023)
Shaoru Chen, Kong Yao Chee, Nikolai Matni, M. Ani Hsieh, George J. Pappas
Safety Filter Design for Neural Network Systems via Convex Optimization. CDC (2023)
Ariella Mansfield, Douglas G. Macharet, M. Ani Hsieh
Energy-Efficient Team Orienteering Problem in the Presence of Time-Varying Ocean Currents. IROS (2023)
Shaoru Chen, Kong Yao Chee, Nikolai Matni, M. Ani Hsieh, George J. Pappas
Safety Filter Design for Neural Network Systems via Convex Optimization. CoRR (2023)
Tom Z. Jiahao, Lishuo Pan, M. Ani Hsieh
Learning to Swarm with Knowledge-Based Neural Ordinary Differential Equations. ICRA (2022)
Lishuo Pan, Sandeep Manjanna, Vijay Kumar, M. Ani Hsieh
MARLAS: Multi Agent Reinforcement Learning for cooperated Adaptive Sampling. CoRR (2022)
Li Shen, Xi Yu, M. Ani Hsieh
Topology Control of a Periodic Time-varying Communication Network with Stochastic Temporal Links. ACC (2022)
Tom Z. Jiahao, Kong Yao Chee, M. Ani Hsieh
Online Dynamics Learning for Predictive Control with an Application to Aerial Robots. CoRL (2022)
Gedaliah Knizhnik, Peihan Li, Xi Yu, M. Ani Hsieh
Flow-Based Control of Marine Robots in Gyre-Like Environments. CoRR (2022)
Arjun Kumar, Alexandra Davatzes, Thomas F. Shipley, M. Ani Hsieh
LIDAR SLAM-Based Dense Reconstructions of Natural Environments: Field Evaluations. SSRR (2022)
Matthew Malencia, Sandeep Manjanna, M. Ani Hsieh, George J. Pappas, Vijay Kumar
Adaptive Sampling of Latent Phenomena using Heterogeneous Robot Teams (ASLaP-HR). IROS (2022)
Sandeep Manjanna, M. Ani Hsieh, Greogory Dudek
Scalable multirobot planning for informed spatial sampling. Auton. Robots 46 (7) (2022)
Lishuo Pan, Sandeep Manjanna, M. Ani Hsieh
MARLAS: Multi Agent Reinforcement Learning for Cooperated Adaptive Sampling. DARS (2022)
Victoria M. Edwards, Thales C. Silva, M. Ani Hsieh
Stochastic Nonlinear Ensemble Modeling and Control for Robot Team Environmental Monitoring. DARS (2022)
Thales C. Silva, Li Shen, Xi Yu, M. Ani Hsieh
Receding Horizon Control on the Broadcast of Information in Stochastic Networks. DARS (2022)
Tom Z. Jiahao, Kong Yao Chee, M. Ani Hsieh
Online Dynamics Learning for Predictive Control with an Application to Aerial Robots. CoRR (2022)
Kong Yao Chee, M. Ani Hsieh
LEARNEST: LEARNing Enhanced Model-based State ESTimation for Robots using Knowledge-based Neural Ordinary Differential Equations. CoRR (2022)
Thales C. Silva, Victoria Edwards, M. Ani Hsieh
Proportional Control for Stochastic Regulation on Allocation of Multi-robots. DARS (2022)
Kong Yao Chee, Tom Z. Jiahao, M. Ani Hsieh
KNODE-MPC: A Knowledge-Based Data-Driven Predictive Control Framework for Aerial Robots. IEEE Robotics Autom. Lett. 7 (2) (2022)
Tahiya Salam, Alice Kate Li, M. Ani Hsieh
Online Estimation of the Koopman Operator Using Fourier Features. CoRR (2022)
Thales C. Silva, Li Shen, Xi Yu, M. Ani Hsieh
Receding Horizon Control on the Broadcast of Information in Stochastic Networks. CoRR (2022)
Victoria Edwards, Thales C. Silva, M. Ani Hsieh
Stochastic Nonlinear Ensemble Modeling and Control for Robot Team Environmental Monitoring. CoRR (2022)
Matthew Malencia, Sandeep Manjanna, M. Ani Hsieh, George J. Pappas, Vijay Kumar
Adaptive Sampling of Latent Phenomena using Heterogeneous Robot Teams (ASLaP-HR). CoRR (2022)
Gedaliah Knizhnik, Peihan Li, Xi Yu, M. Ani Hsieh
Flow-Based Control of Marine Robots in Gyre-Like Environments. ICRA (2022)
Thales C. Silva, Victoria Edwards, M. Ani Hsieh
Proportional Control for Stochastic Regulation on Allocation of Multi-Robots. CoRR (2022)
Tahiya Salam, Victoria Edwards, M. Ani Hsieh
Learning and Leveraging Features in Flow-Like Environments to Improve Situational Awareness. IEEE Robotics Autom. Lett. 7 (2) (2022)
Yifan Wu, Tom Z. Jiahao, Jiancong Wang, Paul A. Yushkevich, M. Ani Hsieh, James C. Gee
NODEO: A Neural Ordinary Differential Equation Based Optimization Framework for Deformable Image Registration. CVPR (2022)
Ziyun Wang, Fernando Cladera Ojeda, Anthony Bisulco, Daewon Lee, Camillo J. Taylor, Kostas Daniilidis, M. Ani Hsieh, Daniel D. Lee, Volkan Isler
EV-Catcher: High-Speed Object Catching Using Low-Latency Event-Based Neural Networks. IEEE Robotics Autom. Lett. 7 (4) (2022)
Kong Yao Chee, M. Ani Hsieh, Nikolai Matni
Learning-enhanced Nonlinear Model Predictive Control using Knowledge-based Neural Ordinary Differential Equations and Deep Ensembles. CoRR (2022)
Ariella Mansfield, Douglas G. Macharet, M. Ani Hsieh
Energy-efficient Orienteering Problem in the Presence of Ocean Currents. IROS (2022)
Xi Yu, David Saldaña, Daigo Shishika, M. Ani Hsieh
Resilient Consensus in Robot Swarms With Periodic Motion and Intermittent Communication. IEEE Trans. Robotics 38 (1) (2022)
Tahiya Salam, M. Ani Hsieh
Heterogeneous robot teams for modeling and prediction of multiscale environmental processes. CoRR (2021)
Tom Z. Jiahao, Lishuo Pan, M. Ani Hsieh
Learning to Swarm with Knowledge-Based Neural Ordinary Differential Equations. CoRR (2021)
Yifan Wu, Tom Z. Jiahao, Jiancong Wang, Paul A. Yushkevich, James C. Gee, M. Ani Hsieh
Deformable Image Registration using Neural ODEs. CoRR (2021)
Tahiya Salam, Victoria Edwards, M. Ani Hsieh
Learning and Leveraging Environmental Features to Improve Robot Awareness. CoRR (2021)
Kong Yao Chee, Tom Z. Jiahao, M. Ani Hsieh
KNODE-MPC: A Knowledge-based Data-driven Predictive Control Framework for Aerial Robots. CoRR (2021)
Ariella Mansfield, Sandeep Manjanna, Douglas G. Macharet, M. Ani Hsieh
Multi-robot Scheduling for Environmental Monitoring as a Team Orienteering Problem. IROS (2021)
David Saldaña, Renato M. Assunção, M. Ani Hsieh, Mario F. M. Campos, Vijay Kumar
Estimating boundary dynamics using robotic sensor networks with pointwise measurements. Auton. Robots 45 (2) (2021)
Xi Yu, M. Ani Hsieh
Synthesis of a Time-Varying Communication Network by Robot Teams With Information Propagation Guarantees. IEEE Robotics Autom. Lett. 5 (2) (2020)
Cong Wei, Herbert G. Tanner, M. Ani Hsieh
Nonlinear Synchronization Control for Short-Range Mobile Sensors Drifting in Geophysical Flows. ICRA (2020)
Kong Yao Chee, M. Ani Hsieh
Augmenting Coverage Control with Robot-Environment Dependency for Multi-Robot Systems. SSRR (2020)
Xi Yu, Daigo Shishika, David Saldaña, M. Ani Hsieh
Modular Robot Formation and Routing for Resilient Consensus. ACC (2020)
Ariella Mansfield, Dhanushka Kularatne, Edward Steager, M. Ani Hsieh
A Topological Approach to Path Planning for a Magnetic Millirobot. IROS (2020)
Hannes Rovina, Tahiya Salam, Yiannis Kantaros, M. Ani Hsieh
Asynchronous Adaptive Sampling and Reduced-Order Modeling of Dynamic Processes by Robot Teams via Intermittently Connected Networks. IROS (2020)
Tom Z. Jiahao, M. Ani Hsieh, Eric Forgoston
Learning Nonlinear Dynamics and Chaos: A Universal Framework for Knowledge-Based System Identification and Prediction. CoRR (2020)
Maan Qraitem, Dhanushka Kularatne, Eric Forgoston, M. Ani Hsieh
Bridging the Gap: Machine Learning to Resolve Improperly Modeled Dynamics. CoRR (2020)
Tahiya Salam, M. Ani Hsieh
Adaptive Sampling and Reduced-Order Modeling of Dynamic Processes by Robot Teams. IEEE Robotics Autom. Lett. 4 (2) (2019)
Daigo Shishika, James Paulos, Michael R. Dorothy, M. Ani Hsieh, Vijay Kumar
Team Composition for Perimeter Defense with Patrollers and Defenders. CDC (2019)
Xi Yu, M. Ani Hsieh, Cong Wei, Herbert G. Tanner
Synchronous Rendezvous for Networks of Marine Robots in Large Scale Ocean Monitoring. Frontiers Robotics AI 6 (2019)
Cong Wei, Herbert G. Tanner, Xi Yu, M. Ani Hsieh
Low-Range Interaction Periodic Rendezvous Along Lagrangian Coherent Structures. ACC (2019)
Daniel Mox, Anthony Cowley, M. Ani Hsieh, Camillo J. Taylor
Evaluating the Effectiveness of Perspective Aware Planning with Panoramas. ICRA (2019)
Valerio Digani, M. Ani Hsieh, Lorenzo Sabattini, Cristian Secchi
Coordination of multiple AGVs: a quadratic optimization method. Auton. Robots 43 (3) (2019)
Cong Wei, Xi Yu, Herbert G. Tanner, M. Ani Hsieh
Synchronous Rendezvous for Networks of Active Drifters in Gyre Flows. DARS (2018)
Hadi Hajieghrary, Dhanushka Kularatne, M. Ani Hsieh
Differential Geometric Approach to Trajectory Planning: Cooperative Transport by a Team of Autonomous Marine Vehicles. CoRR (2018)
Hadi Hajieghrary, Dhanushka Kularatne, M. Ani Hsieh
Differential Geometric Approach to Trajectory Planning: Cooperative Transport by a Team of Autonomous Marine Vehicles. ACC (2018)
Jory Denny, Benjamin T. Fine, Lina Hao, M. Ani Hsieh
RAS Investment in Education [Education]. IEEE Robotics Autom. Mag. 25 (3) (2018)
Dhanushka Kularatne, Hadi Hajieghrary, M. Ani Hsieh
Optimal Path Planning in Time-Varying Flows with Forecasting Uncertainties. ICRA (2018)
M. Ani Hsieh
The Time for 2019 RAS-TEP Proposals Is Here [Education]. IEEE Robotics Autom. Mag. 25 (1) (2018)
Hantian Liu, M. Ani Hsieh
Neural Network Aided Information Theoretic Exploration. SSRR (2018)
Dhanushka Kularatne, Subhrajit Bhattacharya, M. Ani Hsieh
Optimal Path Planning in Time-Varying Flows Using Adaptive Discretization. IEEE Robotics Autom. Lett. 3 (1) (2018)
Dhanushka Kularatne, Eric Forgoston, M. Ani Hsieh
Exploiting Stochasticity for the Control of Transitions in Gyre Flows. Robotics: Science and Systems (2018)
Dhanushka Kularatne, Subhrajit Bhattacharya, M. Ani Hsieh
Going with the flow: a graph based approach to optimal path planning in general flows. Auton. Robots 42 (7) (2018)
Dhanushka Kularatne, M. Ani Hsieh
Tracking attracting manifolds in flows. Auton. Robots 41 (8) (2017)
M. Ani Hsieh, Yu Sun
Guest Editorial Special Section on the Thirteenth IEEE International Symposium on Safety, Security, and Rescue Robotics. IEEE Trans Autom. Sci. Eng. 14 (1) (2017)
Hadi Hajieghrary, Dhanushka Kularatne, M. Ani Hsieh
Cooperative transport of a buoyant load: A differential geometric approach. IROS (2017)
Florian Maushart, Amanda Prorok, M. Ani Hsieh, Vijay Kumar
Intrusion detection for stochastic task allocation in robot swarms. IROS (2017)
Amanda Prorok, M. Ani Hsieh, Vijay Kumar
The Impact of Diversity on Optimal Control Policies for Heterogeneous Robot Swarms. IEEE Trans. Robotics 33 (2) (2017)
David Saldana, Renato M. Assunção, M. Ani Hsieh, Mario F. M. Campos, Vijay Kumar
Cooperative prediction of time-varying boundaries with a team of robots. MRS (2017)
Paul Oh, Hannes Hoeppner, M. Ani Hsieh
The 2017 IEEE RAS Technical Education Program Activites: A Snapshot [Education]. IEEE Robotics Autom. Mag. 24 (4) (2017)
Dhanushka Kularatne, Subhrajit Bhattacharya, M. Ani Hsieh
Time and Energy Optimal Path Planning in General Flows. Robotics: Science and Systems (2016)
Amanda Prorok, M. Ani Hsieh, Vijay Kumar
Fast Redistribution of a Swarm of Heterogeneous Robots. EAI Endorsed Trans. Scalable Inf. Syst. 3 (10) (2016)
M. Ani Hsieh, Angelika Peer
The 2016 IEEE RAS Summer School Activities [Education]. IEEE Robotics Autom. Mag. 23 (4) (2016)
M. Ani Hsieh, Srikanth Saripalli, Gaurav S. Sukhatme, Vijay Kumar
Toward a Science of Autonomy for Physical Systems: Aerial Earth Science. CoRR (2016)
Daniel Mox, Anthony Cowley, M. Ani Hsieh, Camillo J. Taylor
Information Based Exploration with Panoramas and Angle Occupancy Grids. DARS (2016)
Mabel M. Zhang, Monroe D. Kennedy, M. Ani Hsieh, Kostas Daniilidis
A triangle histogram for object classification by tactile sensing. IROS (2016)
Amanda Prorok, M. Ani Hsieh, Vijay Kumar
Formalizing the impact of diversity on performance in a heterogeneous swarm of robots. ICRA (2016)
M. Ani Hsieh
Back to School [Education]. IEEE Robotics Autom. Mag. 23 (1) (2016)
Konstantinos Karydis, M. Ani Hsieh
Uncertainty Quantification for Small Robots Using Principal Orthogonal Decomposition. ISER (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

M. Ani Hsieh