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2020 – today
- 2024
[j48]Yan Zhang
, Michael M. Zavlanos:
Cooperative Multiagent Reinforcement Learning With Partial Observations. IEEE Trans. Autom. Control. 69(2): 968-981 (2024)- [j47]Yan Zhang, Yi Zhou, Kaiyi Ji, Yi Shen, Michael M. Zavlanos:
Boosting One-Point Derivative-Free Online Optimization via Residual Feedback. IEEE Trans. Autom. Control. 69(9): 6309-6316 (2024) - [j46]Alper Kamil Bozkurt, Yu Wang, Michael M. Zavlanos, Miroslav Pajic:
Learning Optimal Strategies for Temporal Tasks in Stochastic Games. IEEE Trans. Autom. Control. 69(11): 7387-7402 (2024) - [j45]Yi Shen, Pan Xu, Michael M. Zavlanos:
Wasserstein Distributionally Robust Policy Evaluation and Learning for Contextual Bandits. Trans. Mach. Learn. Res. 2024 (2024) - [c94]Hans Riess, Gregory Henselman-Petrusek, Michael C. Munger, Robert Ghrist, Zachary I. Bell, Michael M. Zavlanos:
Network Preference Dynamics Using Lattice Theory. ACC 2024: 2802-2808 - [c93]Zifan Wang, Yi Shen, Michael M. Zavlanos, Karl Henrik Johansson:
Learning of Nash Equilibria in Risk-Averse Games. ACC 2024: 3270-3275 - [c92]Xenia Konti, Hans Riess, Manos Giannopoulos, Yi Shen, Michael J. Pencina, Nicoleta J. Economou-Zavlanos, Michael M. Zavlanos:
Distributionally Robust Clustered Federated Learning: A Case Study in Healthcare. CDC 2024: 4165-4172 - [c91]Zifan Wang, Yi Shen, Michael M. Zavlanos, Karl Henrik Johansson:
Outlier-Robust Distributionally Robust Optimization via Unbalanced Optimal Transport. NeurIPS 2024 - [i51]Hans Riess, Manolis Veveakis, Michael M. Zavlanos:
Path Signatures and Graph Neural Networks for Slow Earthquake Analysis: Better Together? CoRR abs/2402.03558 (2024) - [i50]Siyi Wang, Zifan Wang, Xinlei Yi, Michael M. Zavlanos, Karl Henrik Johansson, Sandra Hirche:
Risk-averse Learning with Non-Stationary Distributions. CoRR abs/2404.02988 (2024) - [i49]Pingcheng Jian, Easop Lee, Zachary I. Bell, Michael M. Zavlanos, Boyuan Chen:
Perception Stitching: Zero-Shot Perception Encoder Transfer for Visuomotor Robot Policies. CoRR abs/2406.19971 (2024) - [i48]Xenia Konti, Hans Riess, Manos Giannopoulos, Yi Shen, Michael J. Pencina, Nicoleta J. Economou-Zavlanos, Michael M. Zavlanos:
Distributionally Robust Clustered Federated Learning: A Case Study in Healthcare. CoRR abs/2410.07039 (2024) - [i47]Kavinayan P. Sivakumar, Yi Shen, Zachary I. Bell, Scott Nivison, Boyuan Chen, Michael M. Zavlanos:
Inverse Reinforcement Learning from Non-Stationary Learning Agents. CoRR abs/2410.14135 (2024) - [i46]Kavinayan P. Sivakumar, Yan Zhang, Zachary I. Bell, Scott Nivison, Michael M. Zavlanos:
Transfer Reinforcement Learning in Heterogeneous Action Spaces using Subgoal Mapping. CoRR abs/2410.14484 (2024) - 2023
- [c90]Hans Riess, Michael C. Munger, Michael M. Zavlanos:
Max-Plus Synchronization in Decentralized Trading Systems. CDC 2023: 221-227 - [c89]Zifan Wang, Yi Shen, Michael M. Zavlanos, Karl Henrik Johansson:
Convergence Analysis of the Best Response Algorithm for Time-Varying Games. CDC 2023: 1144-1149 - [c88]Yi Shen, Benjamin McClosky, Joseph W. Durham, Michael M. Zavlanos:
Multi-Agent Reinforcement Learning for Resource Allocation in Large-Scale Robotic Warehouse Sortation Centers. CDC 2023: 7137-7143 - [c87]Pingcheng Jian, Easop Lee, Zachary I. Bell, Michael M. Zavlanos, Boyuan Chen:
Policy Stitching: Learning Transferable Robot Policies. CoRL 2023: 3789-3808 - [c86]Reza Khodayi-mehr, Pingcheng Jian, Michael M. Zavlanos:
Physics-Guided Active Learning of Environmental Flow Fields. L4DC 2023: 928-940 - [c85]Panagiotis Vlantis, Leila Bridgeman, Michael M. Zavlanos:
Failing with Grace: Learning Neural Network Controllers that are Boundedly Unsafe. L4DC 2023: 954-965 - [c84]Zifan Wang, Yulong Gao, Siyi Wang, Michael M. Zavlanos, Alessandro Abate, Karl Henrik Johansson:
Policy Evaluation in Distributional LQR. L4DC 2023: 1245-1256 - [c83]Mikhail Hayhoe, Hans Riess, Michael M. Zavlanos, Victor M. Preciado, Alejandro Ribeiro:
Transferable Hypergraph Neural Networks via Spectral Similarity. LoG 2023: 18 - [i45]Zifan Wang, Yulong Gao, Siyi Wang, Michael M. Zavlanos, Alessandro Abate, Karl Henrik Johansson:
Policy Evaluation in Distributional LQR. CoRR abs/2303.13657 (2023) - [i44]Hans Riess, Michael C. Munger, Michael M. Zavlanos:
Max-Plus Synchronization in Decentralized Trading Systems. CoRR abs/2304.00210 (2023) - [i43]Zifan Wang, Yi Shen, Michael M. Zavlanos, Karl Henrik Johansson:
Convergence Analysis of the Best Response Algorithm for Time-Varying Games. CoRR abs/2309.00307 (2023) - [i42]Yi Shen, Pan Xu, Michael M. Zavlanos:
Wasserstein Distributionally Robust Policy Evaluation and Learning for Contextual Bandits. CoRR abs/2309.08748 (2023) - [i41]Pingcheng Jian, Easop Lee, Zachary I. Bell, Michael M. Zavlanos, Boyuan Chen:
Policy Stitching: Learning Transferable Robot Policies. CoRR abs/2309.13753 (2023) - [i40]Hans Riess, Gregory Henselman-Petrusek, Michael C. Munger, Robert Ghrist, Zachary I. Bell, Michael M. Zavlanos:
Network Preference Dynamics using Lattice Theory. CoRR abs/2310.00179 (2023) - 2022
- [j44]Yan Zhang, Yi Zhou, Kaiyi Ji, Michael M. Zavlanos:
A new one-point residual-feedback oracle for black-box learning and control. Autom. 136: 110006 (2022) - [j43]Xusheng Luo, Michael M. Zavlanos:
Temporal Logic Task Allocation in Heterogeneous Multirobot Systems. IEEE Trans. Robotics 38(6): 3602-3621 (2022) - [c82]Yi Shen, Jessilyn Dunn, Michael M. Zavlanos:
Risk-Averse Multi-Armed Bandits with Unobserved Confounders: A Case Study in Emotion Regulation in Mobile Health. CDC 2022: 144-149 - [c81]Zifan Wang, Yi Shen, Zachary I. Bell, Scott Nivison, Michael M. Zavlanos, Karl Henrik Johansson:
A Zeroth-Order Momentum Method for Risk-Averse Online Convex Games. CDC 2022: 5179-5184 - [c80]Zifan Wang, Yi Shen, Michael M. Zavlanos:
Risk-Averse No-Regret Learning in Online Convex Games. ICML 2022: 22999-23017 - [c79]Shiqi Sun, Yan Zhang, Xusheng Luo, Panagiotis Vlantis, Miroslav Pajic, Michael M. Zavlanos:
Formal Verification of Stochastic Systems with ReLU Neural Network Controllers. ICRA 2022: 6800-6806 - [c78]James D. Turner, James McMahon, Michael M. Zavlanos:
Receding Horizon Tracking of an Unknown Number of Mobile Targets using a Bearings-Only Sensor. ICRA 2022: 7327-7334 - [i39]Zifan Wang, Yi Shen, Michael M. Zavlanos:
Risk-Averse No-Regret Learning in Online Convex Games. CoRR abs/2203.08957 (2022) - [i38]Zifan Wang, Yi Shen, Zachary I. Bell, Scott Nivison, Michael M. Zavlanos, Karl Henrik Johansson:
A Zeroth-Order Momentum Method for Risk-Averse Online Convex Games. CoRR abs/2209.02838 (2022) - [i37]Yi Shen, Jessilyn Dunn, Michael M. Zavlanos:
Risk-Averse Multi-Armed Bandits with Unobserved Confounders: A Case Study in Emotion Regulation in Mobile Health. CoRR abs/2209.04356 (2022) - 2021
- [j42]Xusheng Luo, Miroslav Pajic, Michael M. Zavlanos:
An optimal graph-search method for secure state estimation. Autom. 123: 109323 (2021) - [j41]Luke Calkins, Joseph F. Lingevitch, Joe Coffin, Loy McGuire, Jason Geder, Matthew Kelly, Michael M. Zavlanos, Donald Sofge, Daniel M. Lofaro:
Distance Estimation Using Self-Induced Noise of an Aerial Vehicle. IEEE Robotics Autom. Lett. 6(2): 2807-2813 (2021) - [j40]Luke Calkins, Philip D. Baldoni, James McMahon, Corbin Wilhelmi, Michael M. Zavlanos:
Bearing-Only Active Sensing Under Merged Measurements. IEEE Robotics Autom. Lett. 6(3): 4544-4551 (2021) - [j39]Xusheng Luo, Yiannis Kantaros, Michael M. Zavlanos:
An Abstraction-Free Method for Multirobot Temporal Logic Optimal Control Synthesis. IEEE Trans. Robotics 37(5): 1487-1507 (2021) - [c77]Yijie Zhou, Yan Zhang, Xusheng Luo, Michael M. Zavlanos:
Human-in-the-Loop Robot Planning with Non-Contextual Bandit Feedback. CDC 2021: 2848-2853 - [c76]Yi Shen, Yan Zhang, Scott Nivison, Zachary I. Bell, Michael M. Zavlanos:
Asynchronous Zeroth-Order Distributed Optimization with Residual Feedback. CDC 2021: 3349-3354 - [c75]Alper Kamil Bozkurt, Yu Wang, Michael M. Zavlanos, Miroslav Pajic:
Model-Free Reinforcement Learning for Stochastic Games with Linear Temporal Logic Objectives. ICRA 2021: 10649-10655 - [c74]Chenyu Liu, Yan Zhang, Yi Shen, Michael M. Zavlanos:
Learning without Knowing: Unobserved Context in Continuous Transfer Reinforcement Learning. L4DC 2021: 791-802 - [i36]Xusheng Luo, Michael M. Zavlanos:
Temporal Logic Task Allocation in Heterogeneous Multi-Robot Systems. CoRR abs/2101.05694 (2021) - [i35]Shiqi Sun, Yan Zhang, Xusheng Luo, Panagiotis Vlantis, Miroslav Pajic, Michael M. Zavlanos:
Formal Verification of Stochastic Systems with ReLU Neural Network Controllers. CoRR abs/2103.05142 (2021) - [i34]Chenyu Liu, Yan Zhang, Yi Shen, Michael M. Zavlanos:
Learning without Knowing: Unobserved Context in Continuous Transfer Reinforcement Learning. CoRR abs/2106.03833 (2021) - [i33]Panagiotis Vlantis, Michael M. Zavlanos:
Failing with Grace: Learning Neural Network Controllers that are Boundedly Unsafe. CoRR abs/2106.11881 (2021) - 2020
- [j38]Yan Zhang, Michael M. Zavlanos:
Augmented Lagrangian optimization under fixed-point arithmetic. Autom. 122: 109218 (2020) - [j37]Yiannis Kantaros, Michael M. Zavlanos:
STyLuS*: A Temporal Logic Optimal Control Synthesis Algorithm for Large-Scale Multi-Robot Systems. Int. J. Robotics Res. 39(7) (2020) - [j36]Reza Khodayi-mehr, Michael M. Zavlanos:
Deep Learning for Robotic Mass Transport Cloaking. IEEE Trans. Robotics 36(3): 967-974 (2020) - [j35]Santiago Paternain, Soomin Lee, Michael M. Zavlanos, Alejandro Ribeiro:
Distributed Constrained Online Learning. IEEE Trans. Signal Process. 68: 3486-3499 (2020) - [c73]Luke Calkins, Reza Khodayi-mehr, Wilkins Aquino, Michael M. Zavlanos:
Sensor Planning for Model-Based Acoustic Source Identification. ACC 2020: 2679-2684 - [c72]Duc M. Le, Xusheng Luo, Leila Jasmine Bridgeman, Michael M. Zavlanos, Warren E. Dixon:
Single-Agent Indirect Herding of Multiple Targets using Metric Temporal Logic Switching. CDC 2020: 1398-1403 - [c71]Yan Zhang, Michael M. Zavlanos:
Transfer Reinforcement Learning under Unobserved Contextual Information. ICCPS 2020: 75-86 - [c70]Xusheng Luo, Yan Zhang, Michael M. Zavlanos:
Socially-Aware Robot Planning via Bandit Human Feedback. ICCPS 2020: 216-225 - [c69]Luke Calkins, Joseph F. Lingevitch, Loy McGuire, Jason Geder, Matthew Kelly, Michael M. Zavlanos, Donald Sofge, Daniel M. Lofaro:
Bio-Inspired Distance Estimation using the Self-Induced Acoustic Signature of a Motor-Propeller System. ICRA 2020: 5047-5053 - [c68]Qitong Gao, Miroslav Pajic, Michael M. Zavlanos:
Deep Imitative Reinforcement Learning for Temporal Logic Robot Motion Planning with Noisy Semantic Observations. ICRA 2020: 8490-8496 - [c67]Alper Kamil Bozkurt, Yu Wang, Michael M. Zavlanos, Miroslav Pajic:
Control Synthesis from Linear Temporal Logic Specifications using Model-Free Reinforcement Learning. ICRA 2020: 10349-10355 - [c66]Reza Khodayi-Mehr, Michael M. Zavlanos:
VarNet: Variational Neural Networks for the Solution of Partial Differential Equations. L4DC 2020: 298-307 - [i32]Xusheng Luo, Yan Zhang, Michael M. Zavlanos:
Socially-Aware Robot Planning via Bandit Human Feedback. CoRR abs/2003.00658 (2020) - [i31]Yan Zhang, Michael M. Zavlanos:
Transfer Reinforcement Learning under Unobserved Contextual Information. CoRR abs/2003.04427 (2020) - [i30]Yan Zhang, Yi Zhou, Kaiyi Ji, Michael M. Zavlanos:
Improving the Convergence Rate of One-Point Zeroth-Order Optimization using Residual Feedback. CoRR abs/2006.10820 (2020) - [i29]Yan Zhang, Michael M. Zavlanos:
Cooperative Multi-Agent Reinforcement Learning with Partial Observations. CoRR abs/2006.10822 (2020) - [i28]Alper Kamil Bozkurt, Yu Wang, Michael M. Zavlanos, Miroslav Pajic:
Model-Free Reinforcement Learning for Stochastic Games with Linear Temporal Logic Objectives. CoRR abs/2010.01050 (2020) - [i27]Yan Zhang, Yi Zhou, Kaiyi Ji, Michael M. Zavlanos:
Boosting One-Point Derivative-Free Online Optimization via Residual Feedback. CoRR abs/2010.07378 (2020) - [i26]Yijie Zhou, Yan Zhang, Xusheng Luo, Michael M. Zavlanos:
Human-in-the-Loop Robot Planning with Non-Contextual Bandit Feedback. CoRR abs/2011.01793 (2020) - [i25]Reza Khodayi-mehr, Matthew W. Urban, Michael M. Zavlanos, Wilkins Aquino:
Plane Wave Elastography: A Frequency-Domain Ultrasound Shear Wave Elastography Approach. CoRR abs/2012.04121 (2020)
2010 – 2019
- 2019
- [j34]Yiannis Kantaros, Michael M. Zavlanos:
Sampling-Based Optimal Control Synthesis for Multirobot Systems Under Global Temporal Tasks. IEEE Trans. Autom. Control. 64(5): 1916-1931 (2019) - [j33]Yiannis Kantaros, Meng Guo, Michael M. Zavlanos:
Temporal Logic Task Planning and Intermittent Connectivity Control of Mobile Robot Networks. IEEE Trans. Autom. Control. 64(10): 4105-4120 (2019) - [j32]Wann-Jiun Ma, Chanwook Oh, Yang Liu, Darinka Dentcheva, Michael M. Zavlanos:
Risk-Averse Access Point Selection in Wireless Communication Networks. IEEE Trans. Control. Netw. Syst. 6(1): 24-36 (2019) - [j31]Reza Khodayi-mehr, Wilkins Aquino, Michael M. Zavlanos:
Model-Based Active Source Identification in Complex Environments. IEEE Trans. Robotics 35(3): 633-652 (2019) - [j30]Reza Khodayi-mehr, Yiannis Kantaros, Michael M. Zavlanos:
Distributed State Estimation Using Intermittently Connected Robot Networks. IEEE Trans. Robotics 35(3): 709-724 (2019) - [c65]Yan Zhang, Robert J. Ravier, Michael M. Zavlanos, Vahid Tarokh:
A Distributed Online Convex Optimization Algorithm with Improved Dynamic Regret. CDC 2019: 2449-2454 - [c64]Reza Khodayi-mehr, Michael M. Zavlanos:
Nonlinear Reduced Order Source Identification under Uncertainty. CDC 2019: 2752-2757 - [c63]Yan Zhang, Michael M. Zavlanos:
Distributed off-Policy Actor-Critic Reinforcement Learning with Policy Consensus. CDC 2019: 4674-4679 - [c62]Xusheng Luo, Michael M. Zavlanos:
Transfer Planning for Temporal Logic Tasks. CDC 2019: 5306-5311 - [c61]Santiago Paternain, Soomin Lee, Michael M. Zavlanos, Alejandro Ribeiro:
Constrained Online Learning in Networks with Sublinear Regret and Fit. CDC 2019: 5486-5493 - [c60]Qitong Gao, Davood Hajinezhad, Yan Zhang, Yiannis Kantaros, Michael M. Zavlanos:
Reduced variance deep reinforcement learning with temporal logic specifications. ICCPS 2019: 237-248 - [i24]Yan Zhang, Michael M. Zavlanos:
Distributed off-Policy Actor-Critic Reinforcement Learning with Policy Consensus. CoRR abs/1903.09255 (2019) - [i23]Xusheng Luo, Miroslav Pajic, Michael M. Zavlanos:
A Scalable and Optimal Graph-Search Method for Secure State Estimation. CoRR abs/1903.10620 (2019) - [i22]Xusheng Luo, Yiannis Kantaros, Michael M. Zavlanos:
An Abstraction-Free Method for Multi-Robot Temporal Logic Optimal Control Synthesis. CoRR abs/1909.00526 (2019) - [i21]Alper Kamil Bozkurt, Yu Wang, Michael M. Zavlanos, Miroslav Pajic:
Control Synthesis from Linear Temporal Logic Specifications using Model-Free Reinforcement Learning. CoRR abs/1909.07299 (2019) - [i20]Yan Zhang, Robert J. Ravier, Michael M. Zavlanos, Vahid Tarokh:
A Distributed Online Convex Optimization Algorithm with Improved Dynamic Regret. CoRR abs/1911.05050 (2019) - [i19]Reza Khodayi-Mehr, Michael M. Zavlanos:
VarNet: Variational Neural Networks for the Solution of Partial Differential Equations. CoRR abs/1912.07443 (2019) - 2018
- [j29]Charles Freundlich, Soomin Lee, Michael M. Zavlanos:
Distributed Active State Estimation With User-Specified Accuracy. IEEE Trans. Autom. Control. 63(2): 418-433 (2018) - [j28]Soomin Lee, Nikolaos Chatzipanagiotis, Michael M. Zavlanos:
Complexity Certification of a Distributed Augmented Lagrangian Method. IEEE Trans. Autom. Control. 63(3): 827-834 (2018) - [j27]Soomin Lee, Michael M. Zavlanos:
Approximate Projection Methods for Decentralized Optimization With Functional Constraints. IEEE Trans. Autom. Control. 63(10): 3248-3260 (2018) - [j26]Meng Guo, Michael M. Zavlanos:
Probabilistic Motion Planning Under Temporal Tasks and Soft Constraints. IEEE Trans. Autom. Control. 63(12): 4051-4066 (2018) - [j25]Charles Freundlich, Yan Zhang, Michael M. Zavlanos:
Distributed Hierarchical Control for State Estimation With Robotic Sensor Networks. IEEE Trans. Control. Netw. Syst. 5(4): 2023-2035 (2018) - [j24]Meng Guo, Michael M. Zavlanos:
Multirobot Data Gathering Under Buffer Constraints and Intermittent Communication. IEEE Trans. Robotics 34(4): 1082-1097 (2018) - [j23]Yiannis Kantaros, Benjamin V. Johnson, Sagar Chowdhury, David J. Cappelleri, Michael M. Zavlanos:
Control of Magnetic Microrobot Teams for Temporal Micromanipulation Tasks. IEEE Trans. Robotics 34(6): 1472-1489 (2018) - [c59]Reza Khodayi-mehr, Wilkins Aquino, Michael M. Zavlanos:
Distributed Reduced Order Source Identification. ACC 2018: 1084-1089 - [c58]Luke Calkins, Reza Khodayi-mehr, Wilkins Aquino, Michael M. Zavlanos:
Physics-Based Acoustic Source Identification. CDC 2018: 1457-1462 - [c57]Yan Zhang, Michael M. Zavlanos:
A Consensus-Based Distributed Augmented Lagrangian Method. CDC 2018: 1763-1768 - [c56]Yiannis Kantaros, Michael M. Zavlanos:
Temporal Logic Optimal Control for Large-Scale Multi-Robot Systems: 10400 States and Beyond. CDC 2018: 2519-2524 - [c55]Yihui Feng, Reza Khodayi-mehr, Yiannis Kantaros, Luke Calkins, Michael M. Zavlanos:
Active Acoustic Impedance Mapping Using Mobile Robots. CDC 2018: 3910-3915 - [c54]Davood Hajinezhad, Michael M. Zavlanos:
Gradient-Free Multi-Agent Nonconvex Nonsmooth Optimization. CDC 2018: 4939-4944 - [c53]Yiannis Kantaros, Michael M. Zavlanos:
Distributed optimal control synthesis for multi-robot systems under global temporal tasks. ICCPS 2018: 162-173 - [c52]Yiannis Kantaros, Michael M. Zavlanos:
Distributed Intermittent Communication Control of Mobile Robot Networks Under Time-Critical Dynamic Tasks. ICRA 2018: 1-9 - [i18]Yiannis Kantaros, Benjamin V. Johnson, Sagar Chowdhury, David J. Cappelleri, Michael M. Zavlanos:
Control of Magnetic Microrobot Teams for Temporal Micromanipulation Tasks. CoRR abs/1804.10865 (2018) - [i17]Reza Khodayi-mehr, Yiannis Kantaros, Michael M. Zavlanos:
Distributed State Estimation Using Intermittently Connected Robot Networks. CoRR abs/1805.01574 (2018) - [i16]Yiannis Kantaros, Michael M. Zavlanos:
STyLuS*: A Temporal Logic Optimal Control Synthesis Algorithm for Large-Scale Multi-Robot Systems. CoRR abs/1809.08345 (2018) - [i15]Reza Khodayi-mehr, Michael M. Zavlanos:
Model-Based Learning of Turbulent Flows using Mobile Robots. CoRR abs/1812.03894 (2018) - [i14]Reza Khodayi-mehr, Michael M. Zavlanos:
Deep Learning for Robotic Mass Transport Cloaking. CoRR abs/1812.04157 (2018) - 2017
- [j22]Charles Freundlich, Yan Zhang, Alex Zihao Zhu, Philippos Mordohai, Michael M. Zavlanos:
Controlling a robotic stereo camera under image quantization noise. Int. J. Robotics Res. 36(12): 1268-1285 (2017) - [j21]Yiannis Kantaros, Michael M. Zavlanos:
Distributed Intermittent Connectivity Control of Mobile Robot Networks. IEEE Trans. Autom. Control. 62(7): 3109-3121 (2017) - [j20]Nikolaos Chatzipanagiotis, Michael M. Zavlanos:
On the Convergence of a Distributed Augmented Lagrangian Method for Nonconvex Optimization. IEEE Trans. Autom. Control. 62(9): 4405-4420 (2017) - [j19]Victor M. Preciado, Michael M. Zavlanos:
Distributed Network Design for Laplacian Eigenvalue Placement. IEEE Trans. Control. Netw. Syst. 4(3): 598-609 (2017) - [c51]Wann-Jiun Ma, Darinka Dentcheva, Michael M. Zavlanos:
Risk-averse sensor planning using distributed policy gradient. ACC 2017: 4839-4844 - [c50]Luke Calkins, Reza Khodayi-mehr, Wilkins Aquino, Michael M. Zavlanos:
Stochastic model-based source identification. CDC 2017: 1272-1277 - [c49]Soomin Lee, Nikolaos Chatzipanagiotis, Michael M. Zavlanos:
A distributed augmented Lagrangian method for model predictive control. CDC 2017: 2888-2893 - [c48]Meng Guo, Michael M. Zavlanos:
Temporal task planning in wirelessly connected environments with unknown channel quality. CDC 2017: 4161-4168 - [c47]Yiannis Kantaros, Michael M. Zavlanos:
Sampling-based control synthesis for multi-robot systems under global temporal specifications. ICCPS 2017: 3-13 - [c46]Meng Guo, Michael M. Zavlanos:
Distributed data gathering with buffer constraints and intermittent communication. ICRA 2017: 279-284 - [i13]Yiannis Kantaros, Meng Guo, Michael M. Zavlanos:
Temporal Task Planning and Intermittent Communication Control of Mobile Robot Networks. CoRR abs/1706.00765 (2017) - [i12]Charles Freundlich, Soomin Lee, Michael M. Zavlanos:
Distributed Active State Estimation with User-Specified Accuracy. CoRR abs/1706.01576 (2017) - [i11]Reza Khodayi-mehr, Wilkins Aquino, Michael M. Zavlanos:
Model-Based Active Source Identification in Complex Environments. CoRR abs/1706.01603 (2017) - [i10]Charles Freundlich, Yan Zhang, Michael M. Zavlanos:
Distributed Hierarchical Control for State Estimation With Robotic Sensor Networks. CoRR abs/1706.01918 (2017) - [i9]Charles Freundlich, Yan Zhang, Alex Zihao Zhu, Philippos Mordohai, Michael M. Zavlanos:
Controlling a Robotic Stereo Camera Under Image Quantization Noise. CoRR abs/1706.01966 (2017) - [i8]Meng Guo, Michael M. Zavlanos:
Multi-Robot Data Gathering Under Buffer Constraints and Intermittent Communication. CoRR abs/1706.02092 (2017) - [i7]Yiannis Kantaros, Michael M. Zavlanos:
Sampling-Based Optimal Control Synthesis for Multi-Robot Systems under Global Temporal Tasks. CoRR abs/1706.04216 (2017) - [i6]Meng Guo, Michael M. Zavlanos:
Probabilistic Motion Planning under Temporal Tasks and Soft Constraints. CoRR abs/1706.05209 (2017) - 2016
- [j18]Yiannis Kantaros, Michael M. Zavlanos:
Distributed communication-aware coverage control by mobile sensor networks. Autom. 63: 209-220 (2016) - [j17]Nikolaos Chatzipanagiotis, Michael M. Zavlanos:
A Distributed Algorithm for Convex Constrained Optimization Under Noise. IEEE Trans. Autom. Control. 61(9): 2496-2511 (2016) - [j16]Miguel Aranda, Gonzalo López-Nicolás, Carlos Sagüés, Michael M. Zavlanos:
Distributed Formation Stabilization Using Relative Position Measurements in Local Coordinates. IEEE Trans. Autom. Control. 61(12): 3925-3935 (2016) - [j15]Yiannis Kantaros, Michael M. Zavlanos:
Global Planning for Multi-Robot Communication Networks in Complex Environments. IEEE Trans. Robotics 32(5): 1045-1061 (2016) - [j14]Nikolaos Chatzipanagiotis, Michael M. Zavlanos:
Distributed Scheduling of Network Connectivity Using Mobile Access Point Robots. IEEE Trans. Robotics 32(6): 1333-1346 (2016) - [c45]Yiannis Kantaros, Michael M. Zavlanos:
A distributed LTL-based approach for intermittent communication in mobile robot networks. ACC 2016: 5557-5562 - [c44]Reza Khodayi-mehr, Wilkins Aquino, Michael M. Zavlanos:
Nonlinear reduced order source identification. ACC 2016: 6302-6307 - [c43]Soomin Lee, Michael M. Zavlanos:
Distributed primal-dual methods for online constrained optimization. ACC 2016: 7171-7176 - [c42]Soomin Lee, Michael M. Zavlanos:
Approximate projections for decentralized optimization with SDP constraints. CDC 2016: 1030-1035 - [c41]Yiannis Kantaros, Michael M. Zavlanos:
Simultaneous intermittent communication control and path optimization in networks of mobile robots. CDC 2016: 1794-1799 - [c40]Charles Freundlich, Soomin Lee, Michael M. Zavlanos:
Distributed estimation and control for robotic sensor networks. CDC 2016: 3518-3523 - [c39]Soomin Lee, Alejandro Ribeiro, Michael M. Zavlanos:
Distributed continuous-time online optimization using saddle-point methods. CDC 2016: 4314-4319 - [i5]Yiannis Kantaros, Michael M. Zavlanos:
Simultaneous Intermittent Communication Control and Path Optimization in Networks of Mobile Robots. CoRR abs/1609.07038 (2016) - 2015
- [j13]Miguel Aranda, Gonzalo López-Nicolás, Carlos Sagüés, Michael M. Zavlanos:
Coordinate-free formation stabilization based on relative position measurements. Autom. 57: 11-20 (2015) - [j12]Nikolaos Chatzipanagiotis, Darinka Dentcheva, Michael M. Zavlanos:
An augmented Lagrangian method for distributed optimization. Math. Program. 152(1-2): 405-434 (2015) - [c38]Yiannis Kantaros, Michael M. Zavlanos:
Intermittent connectivity control in mobile robot networks. ACSSC 2015: 1125-1129 - [c37]Nikolaos Chatzipanagiotis, Michael M. Zavlanos:
On the convergence rate of a Distributed Augmented Lagrangian optimization algorithm. ACC 2015: 541-546 - [c36]Reza Khodayi-mehr, Wilkins Aquino, Michael M. Zavlanos:
Model-based sparse source identification. ACC 2015: 1818-1823 - [c35]Charles Freundlich, Philippos Mordohai, Michael M. Zavlanos:
Optimal path planning and resource allocation for active target localization. ACC 2015: 3088-3093 - [c34]Charles Freundlich, Michael M. Zavlanos, Philippos Mordohai:
Exact bias correction and covariance estimation for stereo vision. CVPR 2015: 3296-3304 - [r1]Michael M. Zavlanos, George J. Pappas:
Connectivity of Dynamic Graphs. Encyclopedia of Systems and Control 2015 - 2014
- [j11]Meng Guo, Michael M. Zavlanos, Dimos V. Dimarogonas:
Controlling the Relative Agent Motion in Multi-Agent Formation Stabilization. IEEE Trans. Autom. Control. 59(3): 820-826 (2014) - [j10]Nikolaos Chatzipanagiotis, Yupeng Liu, Athina P. Petropulu, Michael M. Zavlanos:
Distributed Cooperative Beamforming in Multi-Source Multi-Destination Clustered Systems. IEEE Trans. Signal Process. 62(23): 6105-6117 (2014) - [c33]Yiannis Kantaros, Michael M. Zavlanos:
Communication-aware coverage control for robotic sensor networks. CDC 2014: 6863-6868 - [c32]Yiannis Kantaros, Michael M. Zavlanos:
Distributed simultaneous coverage and communication control by mobile sensor networks. GlobalSIP 2014: 833-837 - [c31]Miguel Aranda, Gonzalo López-Nicolás, Carlos Sagüés, Michael M. Zavlanos:
Three-dimensional multirobot formation control for target enclosing. IROS 2014: 357-362 - 2013
- [j9]Michael M. Zavlanos, Alejandro Ribeiro, George J. Pappas:
Network Integrity in Mobile Robotic Networks. IEEE Trans. Autom. Control. 58(1): 3-18 (2013) - [c30]Nikolaos Chatzipanagiotis, Athina P. Petropulu, Michael M. Zavlanos:
A distributed algorithm for cooperative relay beamforming. ACC 2013: 3796-3801 - [c29]Charles Freundlich, Philippos Mordohai, Michael M. Zavlanos:
Hybrid control for mobile target localization with stereo vision. CDC 2013: 2635-2640 - [c28]Nikolaos Chatzipanagiotis, Michael M. Zavlanos:
Distributed stochastic multicommodity flow optimization. GlobalSIP 2013: 883-886 - [c27]Dionysios S. Kalogerias, Nikolaos Chatzipanagiotis, Michael M. Zavlanos, Athina P. Petropulu:
Mobile jammers for secrecy rate maximization in cooperative networks. ICASSP 2013: 2901-2905 - [c26]Charles Freundlich, Philippos Mordohai, Michael M. Zavlanos:
A hybrid control approach to the Next-Best-View problem using stereo vision. ICRA 2013: 4493-4498 - [i4]Dionysios S. Kalogerias, Nikolaos Chatzipanagiotis, Michael M. Zavlanos, Athina P. Petropulu:
Mobile Jammers for Secrecy Rate Maximization in Cooperative Networks. CoRR abs/1303.0463 (2013) - 2012
- [c25]Nikolaos Chatzipanagiotis, Yupeng Liu, Athina P. Petropulu, Michael M. Zavlanos:
Controlling groups of mobile beamformers. CDC 2012: 1984-1989 - [c24]Nikolaos Chatzipanagiotis, Darinka Dentcheva, Michael M. Zavlanos:
Approximate augmented lagrangians for distributed network optimization. CDC 2012: 5840-5845 - 2011
- [j8]Michael M. Zavlanos, A. Agung Julius, Stephen P. Boyd, George J. Pappas:
Inferring stable genetic networks from steady-state data. Autom. 47(6): 1113-1122 (2011) - [j7]Michael M. Zavlanos, Magnus Egerstedt, George J. Pappas:
Graph-Theoretic Connectivity Control of Mobile Robot Networks. Proc. IEEE 99(9): 1525-1540 (2011) - [c23]Michael M. Zavlanos:
Session TP4a: Communication management in robot networks. ACSCC 2011: 1452-1454 - [c22]Michael M. Zavlanos, Alejandro Ribeiro, George J. Pappas:
A framework for integrating mobility and routing in mobile communication networks. ACSCC 2011: 1461-1465 - [c21]Michael M. Zavlanos, A. Agung Julius:
Robust flux balance analysis of metabolic networks. ACC 2011: 2915-2920 - [c20]Michael M. Zavlanos, Victor M. Preciado, Ali Jadbabaie:
Spectral control of mobile robot networks. ACC 2011: 3245-3250 - [i3]Victor M. Preciado, Michael M. Zavlanos, Ali Jadbabaie:
Spectral Design of Dynamic Networks via Local Operations. CoRR abs/1112.0765 (2011) - 2010
- [c19]Victor M. Preciado, Michael M. Zavlanos, Ali Jadbabaie, George J. Pappas:
Distributed control of the Laplacian spectral moments of a network. ACC 2010: 4462-4467 - [c18]Michael M. Zavlanos:
Synchronous rendezvous of very-low-range wireless agents. CDC 2010: 4740-4745 - [c17]Michael M. Zavlanos, Alejandro Ribeiro, George J. Pappas:
Mobility & routing control in networks of robots. CDC 2010: 7545-7550 - [i2]Victor M. Preciado, Michael M. Zavlanos, Ali Jadbabaie, George J. Pappas:
Distributed Control of the Laplacian Spectral Moments of a Network. CoRR abs/1001.4122 (2010) - [i1]Michael M. Zavlanos, Victor M. Preciado, Ali Jadbabaie:
Spectral Control of Mobile Robot Networks. CoRR abs/1010.0034 (2010)
2000 – 2009
- 2009
- [j6]Michael M. Zavlanos, Herbert G. Tanner, Ali Jadbabaie, George J. Pappas:
Hybrid Control for Connectivity Preserving Flocking. IEEE Trans. Autom. Control. 54(12): 2869-2875 (2009) - [c16]Michael M. Zavlanos, Daniel E. Koditschek, George J. Pappas:
A distributed dynamical scheme for fastest mixing Markov chains. ACC 2009: 1436-1441 - [c15]Jerome Le Ny, Michael M. Zavlanos, George J. Pappas:
Resource allocation for signal detection with active sensors. CDC 2009: 8561-8566 - 2008
- [j5]Michael M. Zavlanos, George J. Pappas:
A dynamical systems approach to weighted graph matching. Autom. 44(11): 2817-2824 (2008) - [j4]Michael M. Zavlanos, George J. Pappas:
Dynamic Assignment in Distributed Motion Planning With Local Coordination. IEEE Trans. Robotics 24(1): 232-242 (2008) - [j3]Michael M. Zavlanos, George J. Pappas:
Distributed Connectivity Control of Mobile Networks. IEEE Trans. Robotics 24(6): 1416-1428 (2008) - [c14]Michael M. Zavlanos, Alireza Tahbaz-Salehi, Ali Jadbabaie, George J. Pappas:
Distributed topology control of dynamic networks. ACC 2008: 2660-2665 - [c13]Michael M. Zavlanos, A. Agung Julius, Stephen P. Boyd, George J. Pappas:
Identification of stable genetic networks using convex programming. ACC 2008: 2755-2760 - [c12]Michael M. Zavlanos, Leonid Spesivtsev, George J. Pappas:
A distributed auction algorithm for the assignment problem. CDC 2008: 1212-1217 - [c11]Nathan Michael, Michael M. Zavlanos, Vijay Kumar, George J. Pappas:
Distributed multi-robot task assignment and formation control. ICRA 2008: 128-133 - [c10]Nathan Michael, Michael M. Zavlanos, Vijay Kumar, George J. Pappas:
Maintaining Connectivity in Mobile Robot Networks. ISER 2008: 117-126 - 2007
- [j2]Michael M. Zavlanos, George J. Pappas:
Potential Fields for Maintaining Connectivity of Mobile Networks. IEEE Trans. Robotics 23(4): 812-816 (2007) - [c9]Michael M. Zavlanos, George J. Pappas:
Dynamic Assignment in Distributed Motion Planning with Limited Information. ACC 2007: 1173-1178 - [c8]Michael M. Zavlanos, George J. Pappas:
Distributed formation control with permutation symmetries. CDC 2007: 2894-2899 - [c7]Michael M. Zavlanos, Ali Jadbabaie, George J. Pappas:
Flocking while preserving network connectivity. CDC 2007: 2919-2924 - [c6]Michael M. Zavlanos, George J. Pappas:
Distributed connectivity control of mobile networks. CDC 2007: 3591-3596 - [c5]Michael M. Zavlanos, George J. Pappas:
Distributed Hybrid Control for Multiple-Pursuer Multiple-Evader Games. HSCC 2007: 787-789 - [c4]Michael M. Zavlanos, George J. Pappas:
Sensor-Based Dynamic Assignment in Distributed Motion Planning. ICRA 2007: 3333-3338 - 2006
- [j1]Dimos V. Dimarogonas, Savvas G. Loizou, Kostas J. Kyriakopoulos, Michael M. Zavlanos:
A feedback stabilization and collision avoidance scheme for multiple independent non-point agents, . Autom. 42(2): 229-243 (2006) - [c3]Michael M. Zavlanos, George J. Pappas:
A Dynamical Systems Approach to Weighted Graph Matching. CDC 2006: 3492-3497 - 2005
- [c2]Michael M. Zavlanos, George J. Pappas:
Controlling Connectivity of Dynamic Graphs. CDC/ECC 2005: 6388-6393 - 2003
- [c1]Dimos V. Dimarogonas, Michael M. Zavlanos, Savvas G. Loizou, Kostas J. Kyriakopoulos:
Decentralized motion control of multiple holonomic agents under input constraints. CDC 2003: 3390-3395
Coauthor Index
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