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Zachary I. Bell
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2020 – today
- 2024
- [j14]Jan de Priester, Zachary I. Bell, Prashant Ganesh, Ricardo G. Sanfelice:
MultiHyRL: Robust Hybrid RL for Obstacle Avoidance against Adversarial Attacks on the Observation Space. RLJ 4: 2017-2040 (2024) - [c26]Tochukwu Elijah Ogri, Muzaffar Qureshi, Zachary I. Bell, Kristy Waters, Rushikesh Kamalapurkar:
An Adaptive Optimal Control Approach to Monocular Depth Observability Maximization. ACC 2024: 2356-2361 - [c25]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 - [c24]Jhyv N. Philor, Wanjiku A. Makumi, Zachary I. Bell, Warren E. Dixon:
Approximate Optimal Indirect Control of an Unknown Agent Within a Dynamic Environment Using a Lyapunov-Based Deep Neural Network. ACC 2024: 3430-3435 - [c23]Goutam Das, Michael R. Dorothy, Zachary I. Bell, Daigo Shishika:
Defending a Static Target Point with a Slow Defender. ACC 2024: 4064-4071 - [c22]Muzaffar Qureshi, Tochukwu Elijah Ogri, Zachary I. Bell, Rushikesh Kamalapurkar:
Scalar Field Mapping with Adaptive High-Intensity Region Avoidance. CCTA 2024: 388-393 - [i19]Tochukwu Elijah Ogri, Muzaffar Qureshi, Zachary I. Bell, Kristy Waters, Rushikesh Kamalapurkar:
An adaptive optimal control approach to monocular depth observability maximization. CoRR abs/2401.09658 (2024) - [i18]Andres Pulido, Kyle Volle, Kristy Waters, Zachary I. Bell, Prashant Ganesh, Jane Shin:
Uncertainty-Aware Guidance for Target Tracking subject to Intermittent Measurements using Motion Model Learning. CoRR abs/2402.00671 (2024) - [i17]Tochukwu Elijah Ogri, Muzaffar Qureshi, Zachary I. Bell, Rushikesh Kamalapurkar:
State and Input Constrained Output-Feedback Adaptive Optimal Control of Affine Nonlinear Systems. CoRR abs/2406.18804 (2024) - [i16]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) - [i15]Muzaffar Qureshi, Tochukwu Elijah Ogri, Zachary I. Bell, Rushikesh Kamalapurkar:
Scalar Field Mapping with Adaptive High-Intensity Region Avoidance. CoRR abs/2407.13543 (2024) - [i14]Goutam Das, Violetta Rostobaya, James Berneburg, Zachary I. Bell, Michael R. Dorothy, Daigo Shishika:
Heterogeneous Roles against Assignment Based Policies in Two vs Two Target Defense Game. CoRR abs/2409.09302 (2024) - [i13]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) - [i12]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
- [j13]Zachary I. Bell, Runhan Sun, Kyle Volle, Prashant Ganesh, Scott A. Nivison, Warren E. Dixon:
Target Tracking Subject to Intermittent Measurements Using Attention Deep Neural Networks. IEEE Control. Syst. Lett. 7: 379-384 (2023) - [j12]Wanjiku A. Makumi, Zachary I. Bell, Warren E. Dixon:
Approximate Optimal Indirect Regulation of an Unknown Agent With a Lyapunov-Based Deep Neural Network. IEEE Control. Syst. Lett. 7: 2773-2778 (2023) - [j11]Emily J. Griffis, Omkar Sudhir Patil, Zachary I. Bell, Warren E. Dixon:
Lyapunov-Based Long Short-Term Memory (Lb-LSTM) Neural Network-Based Control. IEEE Control. Syst. Lett. 7: 2976-2981 (2023) - [j10]Max L. Greene, Zachary I. Bell, Scott Nivison, Warren E. Dixon:
Deep Neural Network-Based Approximate Optimal Tracking for Unknown Nonlinear Systems. IEEE Trans. Autom. Control. 68(5): 3171-3177 (2023) - [c21]Tochukwu Elijah Ogri, S. M. Nahid Mahmud, Zachary I. Bell, Rushikesh Kamalapurkar:
Output Feedback Adaptive Optimal Control of Affine Nonlinear systems with a Linear Measurement Model. CCTA 2023: 645-650 - [c20]Tochukwu Elijah Ogri, Zachary I. Bell, Rushikesh Kamalapurkar:
State and Parameter Estimation for Affine Nonlinear Systems. CDC 2023: 1517-1522 - [c19]Cristian F. Nino, Omkar Sudhir Patil, Jhyv N. Philor, Zachary I. Bell, Warren E. Dixon:
Deep Adaptive Indirect Herding of Multiple Target Agents with Unknown Interaction Dynamics. CDC 2023: 2509-2514 - [c18]Axton Isaly, Sage C. Edwards, Zachary I. Bell, Warren E. Dixon:
Weighted Prioritization of Constraints in Optimization-Based Control. CDC 2023: 2731-2736 - [c17]Pingcheng Jian, Easop Lee, Zachary I. Bell, Michael M. Zavlanos, Boyuan Chen:
Policy Stitching: Learning Transferable Robot Policies. CoRL 2023: 3789-3808 - [i11]Tochukwu Elijah Ogri, Zachary I. Bell, Rushikesh Kamalapurkar:
State and Parameter Estimation for Affine Nonlinear Systems. CoRR abs/2304.01526 (2023) - [i10]Pingcheng Jian, Easop Lee, Zachary I. Bell, Michael M. Zavlanos, Boyuan Chen:
Policy Stitching: Learning Transferable Robot Policies. CoRR abs/2309.13753 (2023) - [i9]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) - [i8]Zachary Lamb, Zachary I. Bell, Matthew Longmire, Jared Paquet, Prashant Ganesh, Ricardo G. Sanfelice:
Deep Nonlinear Adaptive Control for Unmanned Aerial Systems Operating under Dynamic Uncertainties. CoRR abs/2310.09502 (2023) - [i7]Goutam Das, Michael R. Dorothy, Zachary I. Bell, Daigo Shishika:
Defending a Target with a Slower Defender against a Faster Attacker. CoRR abs/2311.03338 (2023) - 2022
- [j9]Runhan Sun, Max L. Greene, Duc M. Le, Zachary I. Bell, Girish Chowdhary, Warren E. Dixon:
Lyapunov-Based Real-Time and Iterative Adjustment of Deep Neural Networks. IEEE Control. Syst. Lett. 6: 193-198 (2022) - [c16]Michael J. McCourt, Zachary I. Bell, Scott A. Nivison:
Passivity-Based Target Tracking Robust to Intermittent Measurements. ACC 2022: 1626-1631 - [c15]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 - [i6]S. M. Nahid Mahmud, Moad Abudia, Scott A. Nivison, Zachary I. Bell, Rushikesh Kamalapurkar:
Safe Controller for Output Feedback Linear Systems using Model-Based Reinforcement Learning. CoRR abs/2204.01409 (2022) - [i5]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) - [i4]Goutam Das, Michael R. Dorothy, Zachary I. Bell, Daigo Shishika:
Guarding a Non-Maneuverable Translating Line with an Attached Defender. CoRR abs/2209.09318 (2022) - [i3]Tochukwu Elijah Ogri, S. M. Nahid Mahmud, Zachary I. Bell, Rushikesh Kamalapurkar:
Output Feedback Adaptive Optimal Control of Affine Nonlinear systems with a Linear Measurement Model. CoRR abs/2210.06637 (2022) - 2021
- [j8]Patryk Deptula, Zachary I. Bell, Federico M. Zegers, Ryan A. Licitra, Warren E. Dixon:
Approximate optimal influence over an agent through an uncertain interaction dynamic. Autom. 134: 109913 (2021) - [j7]S. M. Nahid Mahmud, Scott A. Nivison, Zachary I. Bell, Rushikesh Kamalapurkar:
Safe Model-Based Reinforcement Learning for Systems With Parametric Uncertainties. Frontiers Robotics AI 8: 733104 (2021) - [j6]Zachary I. Bell, Patryk Deptula, Emily A. Doucette, J. Willard Curtis, Warren E. Dixon:
Simultaneous Estimation of Euclidean Distances to a Stationary Object's Features and the Euclidean Trajectory of a Monocular Camera. IEEE Trans. Autom. Control. 66(9): 4252-4258 (2021) - [c14]Max L. Greene, Zachary I. Bell, Scott A. Nivison, Jonathan P. How, Warren E. Dixon:
Cooperative Model-Based Reinforcement Learning for Approximate Optimal Tracking. ACC 2021: 1973-1978 - [c13]S. M. Nahid Mahmud, Katrine Hareland, Scott A. Nivison, Zachary I. Bell, Rushikesh Kamalapurkar:
A Safety Aware Model-Based Reinforcement Learning Framework for Systems with Uncertainties. ACC 2021: 1979-1984 - [c12]Yi Shen, Yan Zhang, Scott Nivison, Zachary I. Bell, Michael M. Zavlanos:
Asynchronous Zeroth-Order Distributed Optimization with Residual Feedback. CDC 2021: 3349-3354 - [i2]S. M. Nahid Mahmud, Moad Abudia, Scott A. Nivison, Zachary I. Bell, Rushikesh Kamalapurkar:
Safety aware model-based reinforcement learning for optimal control of a class of output-feedback nonlinear systems. CoRR abs/2110.00271 (2021) - 2020
- [j5]Patryk Deptula, Zachary I. Bell, Emily A. Doucette, J. Willard Curtis, Warren E. Dixon:
Data-based reinforcement learning approximate optimal control for an uncertain nonlinear system with control effectiveness faults. Autom. 116: 108922 (2020) - [c11]Christian G. Harris, Zachary I. Bell, Emily A. Doucette, J. Willard Curtis, Warren E. Dixon:
Target Tracking in the Presence of Intermittent Measurements by a Sparsely Distributed Network of Stationary Cameras. ACC 2020: 3491-3496 - [c10]Runhan Sun, Zachary I. Bell, Federico M. Zegers, Warren E. Dixon:
A Switched Systems Approach to Unknown Environment Exploration with Intermittent State Feedback for Nonholonomic Systems. ACC 2020: 5275-5280 - [c9]Runhan Sun, Christian G. Harris, Zachary I. Bell, Warren E. Dixon:
Relay-Explorer Approach for Multi-Agent Exploration of an Unknown Environment with Intermittent Communication. CDC 2020: 5218-5223 - [c8]Christian G. Harris, Zachary I. Bell, Runhan Sun, Emily A. Doucette, J. Willard Curtis, Warren E. Dixon:
Target Tracking in the Presence of Intermittent Measurements by a Network of Mobile Cameras. CDC 2020: 5962-5967
2010 – 2019
- 2019
- [j4]Hsi-Yuan Chen, Zachary I. Bell, Patryk Deptula, Warren E. Dixon:
A Switched Systems Approach to Path Following With Intermittent State Feedback. IEEE Trans. Robotics 35(3): 725-733 (2019) - [j3]Ryan A. Licitra, Zachary I. Bell, Warren E. Dixon:
Single-Agent Indirect Herding of Multiple Targets With Uncertain Dynamics. IEEE Trans. Robotics 35(4): 847-860 (2019) - [c7]Zachary I. Bell, Christian G. Harris, Runhan Sun, Warren E. Dixon:
Structure and Velocity Estimation of a Moving Object via Synthetic Persistence by a Network of Stationary Cameras. CDC 2019: 1601-1606 - 2018
- [j2]Ryan Licitra, Zachary I. Bell, Emily A. Doucette, Warren E. Dixon:
Single Agent Indirect Herding of Multiple Targets: A Switched Adaptive Control Approach. IEEE Control. Syst. Lett. 2(1): 127-132 (2018) - [j1]Hsi-Yuan Chen, Zachary I. Bell, Patryk Deptula, Warren E. Dixon:
A Switched Systems Framework for Path Following With Intermittent State Feedback. IEEE Control. Syst. Lett. 2(4): 749-754 (2018) - [c6]Patryk Deptula, Zachary I. Bell, Emily A. Doucette, J. Willard Curtis, Warren E. Dixon:
Data-Based Reinforcement Learning Approximate Optimal Control for an Uncertain Nonlinear System with Partial Loss of Control Effectiveness. ACC 2018: 2521-2526 - [c5]Zachary I. Bell, Patryk Deptula, Hsi-Yuan Chen, Emily A. Doucette, Warren E. Dixon:
Velocity and Path Reconstruction of a Moving Object Using a Moving Camera. ACC 2018: 5256-5261 - [c4]Patryk Deptula, Zachary I. Bell, Federico M. Zegers, Ryan A. Licitra, Warren E. Dixon:
Single Agent Indirect Herding via Approximate Dynamic Programming. CDC 2018: 7136-7141 - [i1]Hsi-Yuan Chen, Zachary I. Bell, Patryk Deptula, Warren E. Dixon:
A Switched Systems Approach to Path Following with Intermittent State Feedback. CoRR abs/1803.05584 (2018) - 2017
- [c3]Zachary I. Bell, Hsi-Yuan Chen, Anup Parikh, Warren E. Dixon:
Single scene and path reconstruction with a monocular camera using integral concurrent learning. CDC 2017: 3670-3675 - [c2]Hsi-Yuan Chen, Zachary I. Bell, Ryan Licitra, Warren E. Dixon:
A switched systems approach to vision-based tracking control of wheeled mobile robots. CDC 2017: 4902-4907 - 2016
- [c1]Zachary I. Bell, Anup Parikh, Jason Nezvadovitz, Warren E. Dixon:
Adaptive control of a surface marine craft with parameter identification using integral concurrent learning. CDC 2016: 389-394
Coauthor Index
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last updated on 2024-12-13 19:14 CET by the dblp team
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