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ORCIDAbraham P. Vinod
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2020 – today
- 2024
[j13]Vignesh Sivaramakrishnan
, Abraham P. Vinod, Meeko M. K. Oishi:
Convexified Open-Loop Stochastic Optimal Control for Linear Systems With Log-Concave Disturbances. IEEE Trans. Autom. Control. 69(2): 1249-1256 (2024)- [j12]Abraham P. Vinod, Sleiman Safaoui, Tyler H. Summers, Nobuyuki Yoshikawa, Stefano Di Cairano:
Decentralized, Safe, Multiagent Motion Planning for Drones Under Uncertainty via Filtered Reinforcement Learning. IEEE Trans. Control. Syst. Technol. 32(6): 2492-2499 (2024) - [j11]Sleiman Safaoui, Abraham P. Vinod, Ankush Chakrabarty, Rien Quirynen, Nobuyuki Yoshikawa, Stefano Di Cairano:
Safe Multiagent Motion Planning Under Uncertainty for Drones Using Filtered Reinforcement Learning. IEEE Trans. Robotics 40: 2529-2542 (2024) - [c39]Siddharth Nayak, Marcus Greiff, Arvind U. Raghunathan, Stefano Di Cairano, Abraham P. Vinod:
Data-Driven Monitoring with Mobile Sensors and Charging Stations Using Multi-Arm Bandits and Coordinated Motion Planners. ACC 2024: 299-305 - [c38]Abraham P. Vinod, Sachiyo Yamazaki, Ankush Chakrabarty, Nobuyuki Yoshikawa, Stefano Di Cairano:
Aircraft Approach Management Using Reachability and Dynamic Programming. ACC 2024: 318-324 - [c37]Yunshen Huang, Marcus Greiff, Abraham P. Vinod, Stefano Di Cairano:
Leveraging Computational Fluid Dynamics in UAV Motion Planning. ACC 2024: 375-381 - [c36]Taewan Kim, Abraham P. Vinod, Stefano Di Cairano:
Decoupled Trajectory Planning for Monitoring UAVs and UGV Carrier by Reachable Sets. ACC 2024: 587-593 - [i20]Abraham P. Vinod, Avishai Weiss, Stefano Di Cairano:
Projection-free computation of robust controllable sets with constrained zonotopes. CoRR abs/2403.13730 (2024) - [i19]Abraham P. Vinod:
pycvxset: A Python package for convex set manipulation. CoRR abs/2410.11430 (2024) - [i18]Sarah H. Q. Li, Abraham P. Vinod:
Markov Potential Game with Final-time Reach-Avoid Objectives. CoRR abs/2410.17690 (2024) - 2023
- [j10]Vedang M. Deshpande, Ankush Chakrabarty, Abraham P. Vinod, Christopher R. Laughman:
Physics-Constrained Deep Autoencoded Kalman Filters for Estimating Vapor Compression System States. IEEE Control. Syst. Lett. 7: 3483-3488 (2023) - [j9]Abraham P. Vinod, Arie Israel, Ufuk Topcu:
On-the-Fly Control of Unknown Nonlinear Systems With Sublinear Regret. IEEE Trans. Autom. Control. 68(5): 2729-2742 (2023) - [j8]Franck Djeumou, Abraham P. Vinod, Eric Goubault, Sylvie Putot, Ufuk Topcu:
On-the-Fly Control of Unknown Systems: From Side Information to Performance Guarantees Through Reachability. IEEE Trans. Autom. Control. 68(8): 4857-4872 (2023) - [j7]Michael Hibbard, Abraham P. Vinod, Jesse Quattrociocchi, Ufuk Topcu:
Safely: Safe Stochastic Motion Planning Under Constrained Sensing via Duality. IEEE Trans. Robotics 39(5): 3464-3478 (2023) - [c35]Terrence Skibik, Abraham P. Vinod, Avishai Weiss, Stefano Di Cairano:
MPC with Integrated Evasive Maneuvers for Failure-safe Automated Driving. ACC 2023: 1122-1128 - [c34]Abraham P. Vinod, Stefano Di Cairano:
Sample quantile-based programming for non-convex separable chance constraints. ACC 2023: 1517-1522 - [c33]Marcus Greiff, Abraham P. Vinod, Saleh Nabi, Stefano Di Cairano:
Quadrotor Motion Planning in Stochastic Wind Fields. ACC 2023: 4619-4625 - [c32]Kyeong Jin Kim, Abraham P. Vinod, Jianlin Guo, Vedang M. Deshpande, Kieran Parsons, Ye Wang:
Spectrum Sharing-Inspired Safe Motion Planning. ICC Workshops 2023: 819-824 - [i17]Sleiman Safaoui, Abraham P. Vinod, Ankush Chakrabarty, Rien Quirynen, Nobuyuki Yoshikawa, Stefano Di Cairano:
Safe multi-agent motion planning under uncertainty for drones using filtered reinforcement learning. CoRR abs/2311.00063 (2023) - 2022
- [j6]Abraham P. Vinod, Arie Israel, Ufuk Topcu:
Constrained, Global Optimization of Unknown Functions with Lipschitz Continuous Gradients. SIAM J. Optim. 32(2): 1239-1264 (2022) - [j5]Abraham P. Vinod, Adam J. Thorpe, Philip A. Olaniyi, Tyler H. Summers, Meeko M. K. Oishi:
Sensor Selection for Dynamics-Driven User-Interface Design. IEEE Trans. Control. Syst. Technol. 30(1): 71-84 (2022) - [c31]Parham Gohari, Franck Djeumou, Abraham P. Vinod, Ufuk Topcu:
Blending Controllers via Multi-Objective Bandits. ACC 2022: 88-95 - [c30]Giorgos Mamakoukas, Stefano Di Cairano, Abraham P. Vinod:
Robust Model Predictive Control with Data-Driven Koopman Operators. ACC 2022: 3885-3892 - [c29]Abraham P. Vinod, Sleiman Safaoui, Ankush Chakrabarty, Rien Quirynen, Nobuyuki Yoshikawa, Stefano Di Cairano:
Safe multi-agent motion planning via filtered reinforcement learning. ICRA 2022: 7270-7276 - [i16]Michael Hibbard, Abraham P. Vinod, Jesse Quattrociocchi, Ufuk Topcu:
Safely: Safe Stochastic Motion Planning Under Constrained Sensing via Duality. CoRR abs/2203.02816 (2022) - [i15]Abraham P. Vinod, Arie Israel, Ufuk Topcu:
On-the-fly control of unknown nonlinear systems with sublinear regret. CoRR abs/2206.11103 (2022) - 2021
- [j4]Abraham P. Vinod, Meeko M. K. Oishi:
Stochastic reachability of a target tube: Theory and computation. Autom. 125: 109458 (2021) - [j3]Joseph D. Gleason, Abraham P. Vinod, Meeko M. K. Oishi:
Lagrangian approximations for stochastic reachability of a target tube. Autom. 128: 109546 (2021) - [j2]Abraham P. Vinod, Meeko M. K. Oishi:
Probabilistic Occupancy via Forward Stochastic Reachability for Markov Jump Affine Systems. IEEE Trans. Autom. Control. 66(7): 3068-3083 (2021) - [c28]Franck Djeumou, Abraham P. Vinod, Eric Goubault, Sylvie Putot, Ufuk Topcu:
On-The-Fly Control of Unknown Smooth Systems from Limited Data. ACC 2021: 3656-3663 - [c27]Shawn Priore, Abraham P. Vinod, Vignesh Sivaramakrishnan, Christopher Petersen, Meeko Oishi:
Stochastic multi-satellite maneuvering with constraints in an elliptical orbit. ACC 2021: 4261-4268 - [c26]Abraham P. Vinod, Avishai Weiss, Stefano Di Cairano:
Abort-safe spacecraft rendezvous under stochastic actuation and navigation uncertainty. CDC 2021: 6620-6625 - [c25]Yagiz Savas, Abolfazl Hashemi, Abraham P. Vinod, Brian M. Sadler, Ufuk Topcu:
Physical-Layer Security via Distributed Beamforming in the Presence of Adversaries with Unknown Locations. ICASSP 2021: 4685-4689 - 2020
- [c24]Abraham P. Vinod, Arie Israel, Ufuk Topcu:
Convexified contextual optimization for on-the-fly control of smooth systems. ACC 2020: 2004-2011 - [c23]Alessandro Abate, Henk A. P. Blom, Nathalie Cauchi, Joanna Delicaris, Arnd Hartmanns, Mahmoud Khaled, Abolfazl Lavaei, Carina Pilch, Anne Remke, Stefan Schupp, Fedor Shmarov, Sadegh Soudjani, Abraham P. Vinod, Ben Wooding, Majid Zamani, Paolo Zuliani:
ARCH-COMP20 Category Report: Stochastic Models. ARCH 2020: 76-106 - [c22]Suda Bharadwaj, Abraham P. Vinod, Rayna Dimitrova, Ufuk Topcu:
Near-Optimal Reactive Synthesis Incorporating Runtime Information. ICRA 2020: 10342-10348 - [i14]Abraham P. Vinod, Adam J. Thorpe, Philip A. Olaniyi, Tyler H. Summers, Meeko M. K. Oishi:
Trust-based user-interface design for human-automation systems. CoRR abs/2004.07176 (2020) - [i13]Parham Gohari, Franck Djeumou, Abraham P. Vinod, Ufuk Topcu:
Blending Controllers via Multi-Objective Bandits. CoRR abs/2007.15755 (2020) - [i12]Suda Bharadwaj, Abraham P. Vinod, Rayna Dimitrova, Ufuk Topcu:
Near-Optimal Reactive Synthesis Incorporating Runtime Information. CoRR abs/2007.16107 (2020) - [i11]Franck Djeumou, Abraham P. Vinod, Eric Goubault, Sylvie Putot, Ufuk Topcu:
On-The-Fly Control of Unknown Smooth Systems from Limited Data. CoRR abs/2009.12733 (2020) - [i10]Vignesh Sivaramakrishnan, Abraham P. Vinod, Meeko M. K. Oishi:
Convexified Open-Loop Stochastic Optimal Control for Linear Non-Gaussian Systems. CoRR abs/2010.02101 (2020) - [i9]Franck Djeumou, Abraham P. Vinod, Eric Goubault, Sylvie Putot, Ufuk Topcu:
On-The-Fly Control of Unknown Systems: From Side Information to Performance Guarantees through Reachability. CoRR abs/2011.05524 (2020)
2010 – 2019
- 2019
- [c21]Hossein Sartipizadeh, Abraham P. Vinod, Behçet Açikmese, Meeko Oishi:
Voronoi Partition-based Scenario Reduction for Fast Sampling-based Stochastic Reachability Computation of Linear Systems. ACC 2019: 37-44 - [c20]Abraham P. Vinod, Vignesh Sivaramakrishnan, Meeko M. K. Oishi:
Piecewise-Affine Approximation-Based Stochastic Optimal Control with Gaussian Joint Chance Constraints. ACC 2019: 2942-2949 - [c19]Vignesh Sivaramakrishnan, Omanshu Thapliyal, Abraham P. Vinod, Meeko Oishi, Inseok Hwang:
Predicting Mode Confusion Through Mixed Integer Linear Programming. CDC 2019: 2442-2448 - [c18]Milad Khaledyan, Abraham P. Vinod, Meeko Oishi, John A. Richards:
Optimal Coverage Control and Stochastic Multi-Target Tracking. CDC 2019: 2467-2472 - [c17]Joseph D. Gleason, Abraham P. Vinod, Meeko M. K. Oishi:
The Maximal Hitting-Time Stochastic Reachability Problem. CDC 2019: 7266-7272 - [c16]Abraham P. Vinod, Meeko M. K. Oishi:
Affine controller synthesis for stochastic reachability via difference of convex programming. CDC 2019: 7273-7280 - [c15]Alessandro Abate, Henk A. P. Blom, Nathalie Cauchi, Kurt Degiorgio, Martin Fränzle, Ernst Moritz Hahn, Sofie Haesaert, Hao Ma, Meeko Oishi, Carina Pilch, Anne Remke, Mahmoud Salamati, Sadegh Soudjani, Birgit van Huijgevoort, Abraham P. Vinod:
ARCH-COMP19 Category Report: Stochastic Modelling. ARCH@CPSIoTWeek 2019: 62-102 - [c14]Abraham P. Vinod, Joseph D. Gleason, Meeko M. K. Oishi:
SReachTools: a MATLAB stochastic reachability toolbox. HSCC 2019: 33-38 - [c13]Abraham P. Vinod, Joseph D. Gleason, Meeko M. K. Oishi:
SReachTools: A MATLAB stochastic reachability toolbox: demo abstract. HSCC 2019: 264-265 - [c12]Abraham P. Vinod, Vignesh Sivaramakrishnan, Meeko M. K. Oishi:
Sampling-free enforcement of non-gaussian chance constraints via fourier transforms. SNR 2019: 9-11 - 2018
- [c11]Alessandro Abate, Henk A. P. Blom, Nathalie Cauchi, Sofie Haesaert, Arnd Hartmanns, Kendra Lesser, Meeko Oishi, Vignesh Sivaramakrishnan, Sadegh Soudjani, Cristian Ioan Vasile, Abraham P. Vinod:
ARCH-COMP18 Category Report: Stochastic Modelling. ARCH@ADHS 2018: 71-103 - [c10]Abraham P. Vinod, Baisravan HomChaudhuri, Christoph Hintz, Anup Parikh, Stephen P. Buerger, Meeko M. K. Oishi, Greg Brunson, Shakeeb Ahmad, Rafael Fierro:
Multiple Pursuer-Based Intercept via Forward Stochastic Reachability. ACC 2018: 1559-1566 - [c9]Abraham P. Vinod, Sean Rice, Yuanqi Mao, Meeko M. K. Oishi, Behçet Açikmese:
Stochastic Motion Planning Using Successive Convexification and Probabilistic Occupancy Functions. CDC 2018: 4425-4432 - [c8]Abraham P. Vinod, Meeko M. K. Oishi:
Scalable Underapproximative Verification of Stochastic LTI Systems using Convexity and Compactness. HSCC 2018: 1-10 - [i8]Abraham P. Vinod, Baisravan HomChaudhuri, Meeko M. K. Oishi:
Probabilistic Occupancy Function and Sets Using Forward Stochastic Reachability for Rigid-Body Dynamic Obstacles. CoRR abs/1803.07180 (2018) - [i7]Abraham P. Vinod, Meeko M. K. Oishi:
Stochastic reachability of a target tube: Theory and computation. CoRR abs/1810.05217 (2018) - [i6]Joseph D. Gleason, Abraham P. Vinod, Meeko M. K. Oishi:
Lagrangian Approximations for Stochastic Reachability of a Target Tube. CoRR abs/1810.07118 (2018) - [i5]Hossein Sartipizadeh, Abraham P. Vinod, Behçet Açikmese, Meeko Oishi:
Voronoi Partition-based Scenario Reduction for Fast Sampling-based Stochastic Reachability Computation of LTI Systems. CoRR abs/1811.03643 (2018) - 2017
- [j1]Abraham P. Vinod, Meeko M. K. Oishi:
Scalable Underapproximation for the Stochastic Reach-Avoid Problem for High-Dimensional LTI Systems Using Fourier Transforms. IEEE Control. Syst. Lett. 1(2): 316-321 (2017) - [c7]Baisravan HomChaudhuri, Abraham P. Vinod, Meeko M. K. Oishi:
Computation of forward stochastic reach sets: Application to stochastic, dynamic obstacle avoidance. ACC 2017: 4404-4411 - [c6]Joseph D. Gleason, Abraham P. Vinod, Meeko M. K. Oishi:
Underapproximation of reach-avoid sets for discrete-time stochastic systems via Lagrangian methods. CDC 2017: 4283-4290 - [c5]Abraham P. Vinod, Baisravan HomChaudhuri, Meeko M. K. Oishi:
Forward Stochastic Reachability Analysis for Uncontrolled Linear Systems using Fourier Transforms. HSCC 2017: 35-44 - [c4]Hao-Tien Lewis Chiang, Baisravan HomChaudhuri, Abraham P. Vinod, Meeko Oishi, Lydia Tapia:
Dynamic risk tolerance: Motion planning by balancing short-term and long-term stochastic dynamic predictions. ICRA 2017: 3762-3769 - [i4]Abraham P. Vinod, Meeko M. K. Oishi:
Scalable Underapproximation for Stochastic Reach-Avoid Problem for High-Dimensional LTI Systems using Fourier Transforms. CoRR abs/1703.02135 (2017) - [i3]Joseph D. Gleason, Abraham P. Vinod, Meeko M. K. Oishi:
Underapproximation of Reach-Avoid Sets for Discrete-Time Stochastic Systems via Lagrangian Methods. CoRR abs/1704.03555 (2017) - 2016
- [c3]Abraham P. Vinod, Tyler H. Summers, Meeko M. K. Oishi:
User-interface design for MIMO LTI human-automation systems through sensor placement. ACC 2016: 5276-5283 - [c2]Joseph D. Gleason, Abraham P. Vinod, Meeko M. K. Oishi, Richard Scott Erwin:
Viable set approximation for linear-Gaussian systems with unknown, bounded variance. CDC 2016: 7049-7055 - [c1]Abraham P. Vinod, Yuqing Tang, Meeko M. K. Oishi, Katia P. Sycara, Christian Lebiere, Michael Lewis:
Validation of cognitive models for collaborative hybrid systems with discrete human input. IROS 2016: 3339-3346 - [i2]Baisravan HomChaudhuri, Abraham P. Vinod, Meeko M. K. Oishi:
Computation of forward stochastic reach sets: Application to stochastic, dynamic obstacle avoidance. CoRR abs/1610.03472 (2016) - [i1]Abraham P. Vinod, Baisravan Homchaudhuri, Meeko M. K. Oishi:
Forward stochastic reachability analysis for uncontrolled linear systems using Fourier Transforms. CoRR abs/1610.04550 (2016)
Coauthor Index
Meeko M. K. Oishi
aka: Meeko Oishi
aka: Meeko Oishi
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last updated on 2024-12-02 21:32 CET by the dblp team
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