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Mong-ying Ani Hsieh
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2020 – today
- 2024
[c85]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: 2610-2616- [c84]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: 528-540 - [i28]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 abs/2405.07169 (2024) - 2023
- [j38]Tahiya Salam
, M. Ani Hsieh:
Heterogeneous robot teams for modeling and prediction of multiscale environmental processes. Auton. Robots 47(4): 353-376 (2023) - [j37]M. Ani Hsieh, Dylan A. Shell:
Editorial. Auton. Robots 47(5): 503-504 (2023) - [j36]M. Ani Hsieh, Dylan A. Shell:
Selected papers from RSS2021. Int. J. Robotics Res. 42(10): 703-704 (2023) - [c83]Kong Yao Chee, M. Ani Hsieh, George J. Pappas:
Uncertainty Quantification for Learning-based MPC using Weighted Conformal Prediction. CDC 2023: 342-349 - [c82]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: 6356-6363 - [c81]Thales C. Silva, M. Ani Hsieh:
Local Input-to-State Stability for Consensus in the Presence of Intermittent Communication and Input Saturation. CDC 2023: 7420-7426 - [c80]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: 4016-4023 - [c79]Katherine Mao, Jake Welde, M. Ani Hsieh, Vijay Kumar:
Trajectory Planning for the Bidirectional Quadrotor as a Differentially Flat Hybrid System. ICRA 2023: 1242-1248 - [c78]Gedaliah Knizhnik, Peihan Li, Mark Yim, M. Ani Hsieh:
Flow-Based Rendezvous and Docking for Marine Modular Robots in Gyre-Like Environments. ICRA 2023: 7310-7316 - [c77]Kong Yao Chee, M. Ani Hsieh:
LEARNEST: LEARNing Enhanced Model-based State ESTimation for Robots using Knowledge-based Neural Ordinary Differential Equations. ICRA 2023: 11590-11596 - [c76]Ariella Mansfield, Douglas G. Macharet, M. Ani Hsieh:
Energy-Efficient Team Orienteering Problem in the Presence of Time-Varying Ocean Currents. IROS 2023: 838-843 - [c75]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: 9435-9441 - [c74]Victoria M. Edwards, Thales C. Silva, Bharg Mehta, Jasleen Dhanoa, M. Ani Hsieh:
On Collaborative Robot Teams for Environmental Monitoring: A Macroscopic Ensemble Approach. IROS 2023: 11148-11153 - [c73]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: 1125-1137 - [c72]Tahiya Salam, Alice Kate Li, M. Ani Hsieh:
Online Estimation of the Koopman Operator Using Fourier Features. L4DC 2023: 1271-1283 - [i27]Sandeep Manjanna, Tom Z. Jiahao, M. Ani Hsieh:
Leveraging Predictive Models for Adaptive Sampling of Spatiotemporal Fluid Processes. CoRR abs/2304.00732 (2023) - [i26]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 abs/2304.07200 (2023) - [i25]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 abs/2308.00570 (2023) - [i24]Shaoru Chen, Kong Yao Chee, Nikolai Matni, M. Ani Hsieh, George J. Pappas:
Safety Filter Design for Neural Network Systems via Convex Optimization. CoRR abs/2308.08086 (2023) - [i23]Katherine Mao, Igor Spasojevic, M. Ani Hsieh, Vijay Kumar:
TOPPQuad: Dynamically-Feasible Time Optimal Path Parametrization for Quadrotors. CoRR abs/2309.11637 (2023) - [i22]Alysson Ribeiro Da Silva, Luiz Chaimowicz, Vijay Kumar, Thales Costa Silva, M. Ani Hsieh:
Communication-Constrained Multi-Robot Exploration with Intermittent Rendezvous. CoRR abs/2309.13494 (2023) - [i21]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 abs/2309.15975 (2023) - [i20]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 abs/2312.14248 (2023) - 2022
- [j35]Sandeep Manjanna, M. Ani Hsieh, Greogory Dudek:
Scalable multirobot planning for informed spatial sampling. Auton. Robots 46(7): 817-829 (2022) - [j34]Tahiya Salam, Victoria M. Edwards, M. Ani Hsieh:
Learning and Leveraging Features in Flow-Like Environments to Improve Situational Awareness. IEEE Robotics Autom. Lett. 7(2): 2071-2078 (2022) - [j33]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): 2819-2826 (2022) - [j32]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): 8737-8744 (2022) - [j31]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): 110-125 (2022) - [c71]Li Shen, Xi Yu, M. Ani Hsieh:
Topology Control of a Periodic Time-varying Communication Network with Stochastic Temporal Links. ACC 2022: 4211-4217 - [c70]Tom Z. Jiahao, Kong Yao Chee, M. Ani Hsieh:
Online Dynamics Learning for Predictive Control with an Application to Aerial Robots. CoRL 2022: 2251-2261 - [c69]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: 20772-20781 - [c68]Victoria M. Edwards, Thales C. Silva, M. Ani Hsieh:
Stochastic Nonlinear Ensemble Modeling and Control for Robot Team Environmental Monitoring. DARS 2022: 83-99 - [c67]Thales C. Silva, Li Shen, Xi Yu, M. Ani Hsieh:
Receding Horizon Control on the Broadcast of Information in Stochastic Networks. DARS 2022: 216-230 - [c66]Lishuo Pan, Sandeep Manjanna, M. Ani Hsieh:
MARLAS: Multi Agent Reinforcement Learning for Cooperated Adaptive Sampling. DARS 2022: 347-362 - [c65]Thales C. Silva, Victoria Edwards, M. Ani Hsieh:
Proportional Control for Stochastic Regulation on Allocation of Multi-robots. DARS 2022: 363-377 - [c64]Gedaliah Knizhnik, Peihan Li, Xi Yu, M. Ani Hsieh:
Flow-Based Control of Marine Robots in Gyre-Like Environments. ICRA 2022: 3047-3053 - [c63]Tom Z. Jiahao, Lishuo Pan, M. Ani Hsieh:
Learning to Swarm with Knowledge-Based Neural Ordinary Differential Equations. ICRA 2022: 6912-6918 - [c62]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: 8762-8769 - [c61]Ariella Mansfield, Douglas G. Macharet, M. Ani Hsieh:
Energy-efficient Orienteering Problem in the Presence of Ocean Currents. IROS 2022: 10081-10087 - [c60]Arjun Kumar, Alexandra Davatzes, Thomas F. Shipley, M. Ani Hsieh:
LIDAR SLAM-Based Dense Reconstructions of Natural Environments: Field Evaluations. SSRR 2022: 116-121 - [i19]Gedaliah Knizhnik, Peihan Li, Xi Yu, M. Ani Hsieh:
Flow-Based Control of Marine Robots in Gyre-Like Environments. CoRR abs/2203.00796 (2022) - [i18]Lishuo Pan, Sandeep Manjanna, Vijay Kumar, M. Ani Hsieh:
MARLAS: Multi Agent Reinforcement Learning for cooperated Adaptive Sampling. CoRR abs/2207.07751 (2022) - [i17]Tom Z. Jiahao, Kong Yao Chee, M. Ani Hsieh:
Online Dynamics Learning for Predictive Control with an Application to Aerial Robots. CoRR abs/2207.09344 (2022) - [i16]Matthew Malencia, Sandeep Manjanna, M. Ani Hsieh, George J. Pappas, Vijay Kumar:
Adaptive Sampling of Latent Phenomena using Heterogeneous Robot Teams (ASLaP-HR). CoRR abs/2208.06053 (2022) - [i15]Kong Yao Chee, M. Ani Hsieh:
LEARNEST: LEARNing Enhanced Model-based State ESTimation for Robots using Knowledge-based Neural Ordinary Differential Equations. CoRR abs/2209.08185 (2022) - [i14]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 abs/2211.13829 (2022) - [i13]Tahiya Salam, Alice Kate Li, M. Ani Hsieh:
Online Estimation of the Koopman Operator Using Fourier Features. CoRR abs/2212.01503 (2022) - [i12]Thales C. Silva, Li Shen, Xi Yu, M. Ani Hsieh:
Receding Horizon Control on the Broadcast of Information in Stochastic Networks. CoRR abs/2212.09808 (2022) - [i11]Thales C. Silva, Victoria M. Edwards, M. Ani Hsieh:
Proportional Control for Stochastic Regulation on Allocation of Multi-Robots. CoRR abs/2212.09816 (2022) - [i10]Victoria M. Edwards, Thales C. Silva, M. Ani Hsieh:
Stochastic Nonlinear Ensemble Modeling and Control for Robot Team Environmental Monitoring. CoRR abs/2212.11447 (2022) - 2021
- [j30]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): 193-208 (2021) - [c59]Ariella Mansfield, Sandeep Manjanna, Douglas G. Macharet, M. Ani Hsieh:
Multi-robot Scheduling for Environmental Monitoring as a Team Orienteering Problem. IROS 2021: 6398-6404 - [e4]Dylan A. Shell, Marc Toussaint, M. Ani Hsieh:
Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021. 2021, ISBN 978-0-9923747-7-8 [contents] - [i9]Tahiya Salam, M. Ani Hsieh:
Heterogeneous robot teams for modeling and prediction of multiscale environmental processes. CoRR abs/2103.10383 (2021) - [i8]Yifan Wu, Tom Z. Jiahao, Jiancong Wang, Paul A. Yushkevich, James C. Gee, M. Ani Hsieh:
Deformable Image Registration using Neural ODEs. CoRR abs/2108.03443 (2021) - [i7]Kong Yao Chee, Tom Z. Jiahao, M. Ani Hsieh:
KNODE-MPC: A Knowledge-based Data-driven Predictive Control Framework for Aerial Robots. CoRR abs/2109.04821 (2021) - [i6]Tom Z. Jiahao, Lishuo Pan, M. Ani Hsieh:
Learning to Swarm with Knowledge-Based Neural Ordinary Differential Equations. CoRR abs/2109.04927 (2021) - [i5]Tahiya Salam, Victoria M. Edwards, M. Ani Hsieh:
Learning and Leveraging Environmental Features to Improve Robot Awareness. CoRR abs/2109.06107 (2021) - 2020
- [j29]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): 1413-1420 (2020) - [c58]Xi Yu, Daigo Shishika, David Saldaña, M. Ani Hsieh:
Modular Robot Formation and Routing for Resilient Consensus. ACC 2020: 2464-2471 - [c57]Cong Wei, Herbert G. Tanner, M. Ani Hsieh:
Nonlinear Synchronization Control for Short-Range Mobile Sensors Drifting in Geophysical Flows. ICRA 2020: 907-913 - [c56]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: 4798-4805 - [c55]Ariella Mansfield, Dhanushka Kularatne, Edward B. Steager, M. Ani Hsieh:
A Topological Approach to Path Planning for a Magnetic Millirobot. IROS 2020: 7493-7500 - [c54]Kong Yao Chee, M. Ani Hsieh:
Augmenting Coverage Control with Robot-Environment Dependency for Multi-Robot Systems. SSRR 2020: 260-267 - [i4]Maan Qraitem, Dhanushka Kularatne, Eric Forgoston, M. Ani Hsieh:
Bridging the Gap: Machine Learning to Resolve Improperly Modeled Dynamics. CoRR abs/2008.12642 (2020) - [i3]Tom Z. Jiahao, M. Ani Hsieh, Eric Forgoston:
Learning Nonlinear Dynamics and Chaos: A Universal Framework for Knowledge-Based System Identification and Prediction. CoRR abs/2010.03415 (2020)
2010 – 2019
- 2019
- [j28]Valerio Digani, M. Ani Hsieh, Lorenzo Sabattini, Cristian Secchi:
Coordination of multiple AGVs: a quadratic optimization method. Auton. Robots 43(3): 539-555 (2019) - [j27]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: 76 (2019) - [j26]Tahiya Salam, M. Ani Hsieh:
Adaptive Sampling and Reduced-Order Modeling of Dynamic Processes by Robot Teams. IEEE Robotics Autom. Lett. 4(2): 477-484 (2019) - [c53]Cong Wei, Herbert G. Tanner, Xi Yu, M. Ani Hsieh:
Low-Range Interaction Periodic Rendezvous Along Lagrangian Coherent Structures. ACC 2019: 4012-4017 - [c52]Daigo Shishika, James Paulos, Michael R. Dorothy, M. Ani Hsieh, Vijay Kumar:
Team Composition for Perimeter Defense with Patrollers and Defenders. CDC 2019: 7325-7332 - [c51]Daniel Mox, Anthony Cowley, M. Ani Hsieh, Camillo J. Taylor:
Evaluating the Effectiveness of Perspective Aware Planning with Panoramas. ICRA 2019: 4098-4103 - 2018
- [j25]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): 1369-1387 (2018) - [j24]Dhanushka Kularatne, Subhrajit Bhattacharya, M. Ani Hsieh:
Optimal Path Planning in Time-Varying Flows Using Adaptive Discretization. IEEE Robotics Autom. Lett. 3(1): 458-465 (2018) - [j23]M. Ani Hsieh:
The Time for 2019 RAS-TEP Proposals Is Here [Education]. IEEE Robotics Autom. Mag. 25(1): 104 (2018) - [j22]Jory Denny, Benjamin T. Fine, Lina Hao, M. Ani Hsieh:
RAS Investment in Education [Education]. IEEE Robotics Autom. Mag. 25(3): 102 (2018) - [c50]Hadi Hajieghrary, Dhanushka Kularatne, M. Ani Hsieh:
Differential Geometric Approach to Trajectory Planning: Cooperative Transport by a Team of Autonomous Marine Vehicles. ACC 2018: 858-863 - [c49]Cong Wei, Xi Yu, Herbert G. Tanner, M. Ani Hsieh:
Synchronous Rendezvous for Networks of Active Drifters in Gyre Flows. DARS 2018: 413-425 - [c48]Dhanushka Kularatne, Hadi Hajieghrary, M. Ani Hsieh:
Optimal Path Planning in Time-Varying Flows with Forecasting Uncertainties. ICRA 2018: 1-8 - [c47]Dhanushka Kularatne, Eric Forgoston, M. Ani Hsieh:
Exploiting Stochasticity for the Control of Transitions in Gyre Flows. Robotics: Science and Systems 2018 - [c46]Hantian Liu, M. Ani Hsieh:
Neural Network Aided Information Theoretic Exploration. SSRR 2018: 1-7 - [i2]Hadi Hajieghrary, Dhanushka Kularatne, M. Ani Hsieh:
Differential Geometric Approach to Trajectory Planning: Cooperative Transport by a Team of Autonomous Marine Vehicles. CoRR abs/1805.00959 (2018) - 2017
- [j21]Dhanushka Kularatne, M. Ani Hsieh:
Tracking attracting manifolds in flows. Auton. Robots 41(8): 1575-1588 (2017) - [j20]Paul Oh, Hannes Hoeppner, M. Ani Hsieh:
The 2017 IEEE RAS Technical Education Program Activites: A Snapshot [Education]. IEEE Robotics Autom. Mag. 24(4): 112-113 (2017) - [j19]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): 3-4 (2017) - [j18]Amanda Prorok, M. Ani Hsieh, Vijay Kumar:
The Impact of Diversity on Optimal Control Policies for Heterogeneous Robot Swarms. IEEE Trans. Robotics 33(2): 346-358 (2017) - [c45]Florian Maushart, Amanda Prorok, M. Ani Hsieh, Vijay Kumar:
Intrusion detection for stochastic task allocation in robot swarms. IROS 2017: 1830-1837 - [c44]Hadi Hajieghrary, Dhanushka Kularatne, M. Ani Hsieh:
Cooperative transport of a buoyant load: A differential geometric approach. IROS 2017: 2158-2163 - [c43]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: 9-16 - 2016
- [j17]M. Ani Hsieh:
Back to School [Education]. IEEE Robotics Autom. Mag. 23(1): 106-115 (2016) - [j16]M. Ani Hsieh, Angelika Peer:
The 2016 IEEE RAS Summer School Activities [Education]. IEEE Robotics Autom. Mag. 23(4): 184-185 (2016) - [j15]Amanda Prorok, M. Ani Hsieh, Vijay Kumar:
Fast Redistribution of a Swarm of Heterogeneous Robots. EAI Endorsed Trans. Scalable Inf. Syst. 3(10): e4 (2016) - [c42]Daniel Mox, Anthony Cowley, M. Ani Hsieh, Camillo J. Taylor:
Information Based Exploration with Panoramas and Angle Occupancy Grids. DARS 2016: 45-58 - [c41]Guillaume Sartoretti, Samuel Shaw, M. Ani Hsieh:
Distributed planar manipulation in fluidic environments. ICRA 2016: 5322-5327 - [c40]Amanda Prorok, M. Ani Hsieh, Vijay Kumar:
Formalizing the impact of diversity on performance in a heterogeneous swarm of robots. ICRA 2016: 5364-5371 - [c39]Mabel M. Zhang, Monroe D. Kennedy, M. Ani Hsieh, Kostas Daniilidis:
A triangle histogram for object classification by tactile sensing. IROS 2016: 4931-4938 - [c38]Konstantinos Karydis, M. Ani Hsieh:
Uncertainty Quantification for Small Robots Using Principal Orthogonal Decomposition. ISER 2016: 33-42 - [c37]Dhanushka Kularatne, Subhrajit Bhattacharya, M. Ani Hsieh:
Time and Energy Optimal Path Planning in General Flows. Robotics: Science and Systems 2016 - [e3]M. Ani Hsieh, Oussama Khatib, Vijay Kumar:
Experimental Robotics - The 14th International Symposium on Experimental Robotics, ISER 2014, June 15-18, 2014, Marrakech and Essaouira, Morocco. Springer Tracts in Advanced Robotics 109, Springer 2016, ISBN 978-3-319-23777-0 [contents] - [i1]M. Ani Hsieh, Srikanth Saripalli, Gaurav S. Sukhatme, Vijay Kumar:
Toward a Science of Autonomy for Physical Systems: Aerial Earth Science. CoRR abs/1609.05783 (2016) - 2015
- [j14]M. Ani Hsieh, Oussama Khatib, Vijay Kumar:
Special Issue on the 14th International Symposium on Experimental Robotics, 2014. Int. J. Robotics Res. 34(13): 1539-1540 (2015) - [j13]Christoffer R. Heckman, Ira B. Schwartz, M. Ani Hsieh:
Toward efficient navigation in uncertain gyre-like flows. Int. J. Robotics Res. 34(13): 1590-1603 (2015) - [j12]M. Ani Hsieh, Paolo Fiorini:
A New Season [Education]. IEEE Robotics Autom. Mag. 22(1): 118-119 (2015) - [c36]Amanda Prorok, M. Ani Hsieh, Vijay Kumar:
Fast Redistribution of a Swarm of Heterogeneous Robots. BICT 2015: 249-255 - [c35]Valerio Digani, M. Ani Hsieh, Lorenzo Sabattini, Cristian Secchi:
A Quadratic Programming approach for coordinating multi-AGV systems. CASE 2015: 600-605 - [c34]Akbar Tohidi, Hadi Hajieghrary, M. Ani Hsieh:
Adaptive disturbance rejection control scheme for DFIG-based wind turbine. IAS 2015: 1-8 - [c33]Dhanushka Kularatne, Ryan N. Smith, M. Ani Hsieh:
Zig-zag wanderer: Towards adaptive tracking of time-varying coherent structures in the ocean. ICRA 2015: 3253-3258 - [c32]M. Ani Hsieh, Hadi Hajieghrary, Dhanushka Kularatne, Christoffer R. Heckman, Eric Forgoston, Ira B. Schwartz, Philip A. Yecko:
Small and Adrift with Self-Control: Using the Environment to Improve Autonomy. ISRR (2) 2015: 387-402 - [c31]Dhanushka Kularatne, M. Ani Hsieh:
Tracking Attracting Lagrangian Coherent Structures in Flows. Robotics: Science and Systems 2015 - [c30]Hadi Hajieghrary, Alex Fabregat Tomas, M. Ani Hsieh:
An information theoretic source seeking strategy for plume tracking in 3D turbulent fields. SSRR 2015: 1-8 - 2014
- [j11]James Worcester, M. Ani Hsieh, Rolf Lakaemper:
Distributed assembly with online workload balancing and visual error detection and correction. Int. J. Robotics Res. 33(4): 534-546 (2014) - [j10]T. William Mather, M. Ani Hsieh:
Synthesis and analysis of distributed ensemble control strategies for allocation to multiple tasks. Robotica 32(2): 177-192 (2014) - [j9]