Abraham P. Vinod

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 65

Top Topics

Stochastic Model

Obstacle Avoidance

Motion Planning

Top Venues

Publications

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 (2024)
Abraham P. Vinod, Avishai Weiss, Stefano Di Cairano
Projection-free computation of robust controllable sets with constrained zonotopes. CoRR (2024)
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) (2024)
Michael Hibbard, Abraham P. Vinod, Jesse Quattrociocchi, Ufuk Topcu
Safely: Safe Stochastic Motion Planning Under Constrained Sensing via Duality. IEEE Trans. Robotics 39 (5) (2023)
Abraham P. Vinod, Arie Israel, Ufuk Topcu
On-the-Fly Control of Unknown Nonlinear Systems With Sublinear Regret. IEEE Trans. Autom. Control. 68 (5) (2023)
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 (2023)
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) (2023)
Terrence Skibik, Abraham P. Vinod, Avishai Weiss, Stefano Di Cairano
MPC with Integrated Evasive Maneuvers for Failure-safe Automated Driving. ACC (2023)
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 (2023)
Kyeong Jin Kim, Abraham P. Vinod, Jianlin Guo, Vedang Deshpande, Kieran Parsons, Ye Wang
Spectrum Sharing-Inspired Safe Motion Planning. ICC Workshops (2023)
Marcus Greiff, Abraham P. Vinod, Saleh Nabi, Stefano Di Cairano
Quadrotor Motion Planning in Stochastic Wind Fields. ACC (2023)
Abraham P. Vinod, Stefano Di Cairano
Sample quantile-based programming for non-convex separable chance constraints. ACC (2023)
Abraham P. Vinod, Arie Israel, Ufuk Topcu
On-the-fly control of unknown nonlinear systems with sublinear regret. CoRR (2022)
Giorgos Mamakoukas, Stefano Di Cairano, Abraham P. Vinod
Robust Model Predictive Control with Data-Driven Koopman Operators. ACC (2022)
Abraham P. Vinod, Arie Israel, Ufuk Topcu
Constrained, Global Optimization of Unknown Functions with Lipschitz Continuous Gradients. SIAM J. Optim. 32 (2) (2022)
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) (2022)
Parham Gohari, Franck Djeumou, Abraham P. Vinod, Ufuk Topcu
Blending Controllers via Multi-Objective Bandits. ACC (2022)
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)
Michael Hibbard, Abraham P. Vinod, Jesse Quattrociocchi, Ufuk Topcu
Safely: Safe Stochastic Motion Planning Under Constrained Sensing via Duality. CoRR (2022)
Abraham P. Vinod, Meeko M. K. Oishi
Probabilistic Occupancy via Forward Stochastic Reachability for Markov Jump Affine Systems. IEEE Trans. Autom. Control. 66 (7) (2021)
Joseph D. Gleason, Abraham P. Vinod, Meeko M. K. Oishi
Lagrangian approximations for stochastic reachability of a target tube. Autom. 128 (2021)
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)
Abraham P. Vinod, Avishai Weiss, Stefano Di Cairano
Abort-safe spacecraft rendezvous under stochastic actuation and navigation uncertainty. CDC (2021)
Franck Djeumou, Abraham P. Vinod, Eric Goubault, Sylvie Putot, Ufuk Topcu
On-The-Fly Control of Unknown Smooth Systems from Limited Data. ACC (2021)
Abraham P. Vinod, Meeko M. K. Oishi
Stochastic reachability of a target tube: Theory and computation. Autom. 125 (2021)
Shawn Priore, Abraham P. Vinod, Vignesh Sivaramakrishnan, Christopher Petersen, Meeko Oishi
Stochastic multi-satellite maneuvering with constraints in an elliptical orbit. ACC (2021)
Vignesh Sivaramakrishnan, Abraham P. Vinod, Meeko M. K. Oishi
Convexified Open-Loop Stochastic Optimal Control for Linear Non-Gaussian Systems. CoRR (2020)
Suda Bharadwaj, Abraham P. Vinod, Rayna Dimitrova, Ufuk Topcu
Near-Optimal Reactive Synthesis Incorporating Runtime Information. ICRA (2020)
Suda Bharadwaj, Abraham P. Vinod, Rayna Dimitrova, Ufuk Topcu
Near-Optimal Reactive Synthesis Incorporating Runtime Information. CoRR (2020)
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 (2020)
Parham Gohari, Franck Djeumou, Abraham P. Vinod, Ufuk Topcu
Blending Controllers via Multi-Objective Bandits. CoRR (2020)
Alessandro Abate, Henk 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)
Abraham P. Vinod, Arie Israel, Ufuk Topcu
Convexified contextual optimization for on-the-fly control of smooth systems. ACC (2020)
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 (2020)
Franck Djeumou, Abraham P. Vinod, Eric Goubault, Sylvie Putot, Ufuk Topcu
On-The-Fly Control of Unknown Smooth Systems from Limited Data. CoRR (2020)
Abraham P. Vinod, Meeko M. K. Oishi
Affine controller synthesis for stochastic reachability via difference of convex programming. CDC (2019)
Abraham P. Vinod, Joseph D. Gleason, Meeko M. K. Oishi
SReachTools: A MATLAB stochastic reachability toolbox: demo abstract. HSCC (2019)
Joseph D. Gleason, Abraham P. Vinod, Meeko M. K. Oishi
The Maximal Hitting-Time Stochastic Reachability Problem. CDC (2019)
Abraham P. Vinod, Vignesh Sivaramakrishnan, Meeko M. K. Oishi
Sampling-free enforcement of non-gaussian chance constraints via fourier transforms. SNR (2019)
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)
Alessandro Abate, Henk 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)
Abraham P. Vinod, Joseph D. Gleason, Meeko M. K. Oishi
SReachTools: a MATLAB stochastic reachability toolbox. HSCC (2019)
Vignesh Sivaramakrishnan, Omanshu Thapliyal, Abraham P. Vinod, Meeko Oishi, Inseok Hwang
Predicting Mode Confusion Through Mixed Integer Linear Programming. CDC (2019)
Milad Khaledyan, Abraham P. Vinod, Meeko Oishi, John A. Richards
Optimal Coverage Control and Stochastic Multi-Target Tracking. CDC (2019)
Abraham P. Vinod, Vignesh Sivaramakrishnan, Meeko M. K. Oishi
Piecewise-Affine Approximation-Based Stochastic Optimal Control with Gaussian Joint Chance Constraints. ACC (2019)
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)
Joseph D. Gleason, Abraham P. Vinod, Meeko M. K. Oishi
Lagrangian Approximations for Stochastic Reachability of a Target Tube. CoRR (2018)
Abraham P. Vinod, Meeko M. K. Oishi
Scalable Underapproximative Verification of Stochastic LTI Systems using Convexity and Compactness. HSCC (2018)
Abraham P. Vinod, Baisravan HomChaudhuri, Meeko M. K. Oishi
Probabilistic Occupancy Function and Sets Using Forward Stochastic Reachability for Rigid-Body Dynamic Obstacles. CoRR (2018)
Alessandro Abate, Henk 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)
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)
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 (2018)
Abraham P. Vinod, Meeko M. K. Oishi
Stochastic reachability of a target tube: Theory and computation. CoRR (2018)
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)
Abraham P. Vinod, Meeko M. K. Oishi
Scalable Underapproximation for Stochastic Reach-Avoid Problem for High-Dimensional LTI Systems using Fourier Transforms. CoRR (2017)
Baisravan HomChaudhuri, Abraham P. Vinod, Meeko M. K. Oishi
Computation of forward stochastic reach sets: Application to stochastic, dynamic obstacle avoidance. ACC (2017)
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)
Joseph D. Gleason, Abraham P. Vinod, Meeko M. K. Oishi
Underapproximation of Reach-Avoid Sets for Discrete-Time Stochastic Systems via Lagrangian Methods. CoRR (2017)
Abraham P. Vinod, Baisravan HomChaudhuri, Meeko M. K. Oishi
Forward Stochastic Reachability Analysis for Uncontrolled Linear Systems using Fourier Transforms. HSCC (2017)
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) (2017)
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)
Baisravan HomChaudhuri, Abraham P. Vinod, Meeko M. K. Oishi
Computation of forward stochastic reach sets: Application to stochastic, dynamic obstacle avoidance. CoRR (2016)
Abraham P. Vinod, Tyler H. Summers, Meeko M. K. Oishi
User-interface design for MIMO LTI human-automation systems through sensor placement. ACC (2016)
Abraham P. Vinod, Baisravan Homchaudhuri, Meeko M. K. Oishi
Forward stochastic reachability analysis for uncontrolled linear systems using Fourier Transforms. CoRR (2016)
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)