Meeko M. K. Oishi

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 54

Top Topics

Probability Measure

Chance Constraints

Top Venues

Publications

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)
Vignesh Sivaramakrishnan, Rosalyn A. Devonport, Murat Arcak, Meeko M. K. Oishi
Forward Reachability for Discrete-Time Nonlinear Stochastic Systems via Mixed-Monotonicity and Stochastic Order. CoRR (2024)
Karthik Sivaramakrishnan, Vignesh Sivaramakrishnan, Meeko M. K. Oishi
Stochastic Reachability of Discrete-Time Stochastic Systems via Probability Measures. CoRR (2023)
Adam J. Thorpe, Cyrus Neary, Franck Djeumou, Meeko M. K. Oishi, Ufuk Topcu
Physics-Informed Kernel Embeddings: Integrating Prior System Knowledge with Data-Driven Control. CoRR (2023)
Chukwuemeka O. Ike, John T. Wen, Meeko M. K. Oishi, Lee K. Brown, A. Agung Julius
Efficient Estimation of the Human Circadian Phase via Kalman Filtering. EMBC (2023)
Adam J. Thorpe, Jake A. Gonzales, Meeko M. K. Oishi
Data-Driven Stochastic Optimal Control Using Kernel Gradients. ACC (2023)
Adam J. Thorpe, Thomas Lew, Meeko M. K. Oishi, Marco Pavone
Data-Driven Chance Constrained Control using Kernel Distribution Embeddings. CoRR (2022)
Adam J. Thorpe, Meeko M. K. Oishi
SOCKS: A Stochastic Optimal Control and Reachability Toolbox Using Kernel Methods. CoRR (2022)
Adam J. Thorpe, Kendric R. Ortiz, Meeko M. K. Oishi
State-based confidence bounds for data-driven stochastic reachability using Hilbert space embeddings. Autom. 138 (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)
Adam J. Thorpe, Jake A. Gonzales, Meeko M. K. Oishi
Data-Driven Stochastic Optimal Control Using Kernel Gradients. CoRR (2022)
Joshua Pilipovsky, Vignesh Sivaramakrishnan, Meeko M. K. Oishi, Panagiotis Tsiotras
Probabilistic Verification of ReLU Neural Networks via Characteristic Functions. 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)
Adam J. Thorpe, Meeko M. K. Oishi
Stochastic Optimal Control via Hilbert Space Embeddings of Distributions. CoRR (2021)
Adam J. Thorpe, Meeko M. K. Oishi
Stochastic Optimal Control via Hilbert Space Embeddings of Distributions. CDC (2021)
Joseph D. Gleason, Abraham P. Vinod, Meeko M. K. Oishi
Lagrangian approximations for stochastic reachability of a target tube. Autom. 128 (2021)
Adam J. Thorpe, Kendric R. Ortiz, Meeko M. K. Oishi
SReachTools Kernel Module: Data-Driven Stochastic Reachability Using Hilbert Space Embeddings of Distributions. CDC (2021)
Adam J. Thorpe, Vignesh Sivaramakrishnan, Meeko M. K. Oishi
Approximate Stochastic Reachability for High Dimensional Systems. ACC (2021)
Adam J. Thorpe, Kendric R. Ortiz, Meeko M. K. Oishi
Learning Approximate Forward Reachable Sets Using Separating Kernels. L4DC (2021)
Abraham P. Vinod, Meeko M. K. Oishi
Stochastic reachability of a target tube: Theory and computation. Autom. 125 (2021)
Adam J. Thorpe, Meeko M. K. Oishi
Model-Free Stochastic Reachability Using Kernel Distribution Embeddings. IEEE Control. Syst. Lett. 4 (2) (2020)
Vignesh Sivaramakrishnan, Abraham P. Vinod, Meeko M. K. Oishi
Convexified Open-Loop Stochastic Optimal Control for Linear Non-Gaussian Systems. CoRR (2020)
Adam J. Thorpe, Kendric R. Ortiz, Meeko M. K. Oishi
Data-Driven Stochastic Reachability Using Hilbert Space Embeddings. CoRR (2020)
Vignesh Sivaramakrishnan, Meeko M. K. Oishi
Fast, Convexified Stochastic Optimal Open-Loop Control for Linear Systems Using Empirical Characteristic Functions. IEEE Control. Syst. Lett. 4 (4) (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)
Adam J. Thorpe, Kendric R. Ortiz, Meeko M. K. Oishi
SReachTools Kernel Module: Data-Driven Stochastic Reachability Using Hilbert Space Embeddings of Distributions. CoRR (2020)
Adam J. Thorpe, Vignesh Sivaramakrishnan, Meeko M. K. Oishi
Stochastic Reachability for Systems up to a Million Dimensions. CoRR (2019)
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, Meeko M. K. Oishi, John T. Wen, Agung Julius, Suguna Pappu, Howard Yonas
Assessing circadian rhythms and entrainment via intracranial temperature after severe head trauma. Biomed. Signal Process. Control. 54 (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)
Adam J. Thorpe, Meeko M. K. Oishi
Model-Free Stochastic Reachability Using Kernel Distribution Embeddings. CoRR (2019)
Abraham P. Vinod, Joseph D. Gleason, Meeko M. K. Oishi
SReachTools: a MATLAB stochastic reachability toolbox. HSCC (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)
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)
Abraham P. Vinod, Meeko M. K. Oishi
Stochastic reachability of a target tube: Theory and computation. CoRR (2018)
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)
Meeko M. K. Oishi, Dawn M. Tilbury, Claire J. Tomlin
Guest Editorial Special Section on Human-Centered Automation. IEEE Trans Autom. Sci. Eng. 13 (1) (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)
Tasha M. Hammond, Neda Eskandari, Meeko M. K. Oishi
Observability of User-Interfaces for Hybrid LTI Systems Under Collaborative Control: Application to Aircraft Flight Management Systems. IEEE Trans Autom. Sci. Eng. 13 (1) (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)
Shahab Kaynama, Ian M. Mitchell, Meeko M. K. Oishi, Guy Albert Dumont
Scalable Safety-Preserving Robust Control Synthesis for Continuous-Time Linear Systems. IEEE Trans. Autom. Control. 60 (11) (2015)
Kendra Lesser, Meeko M. K. Oishi
Computing probabilistic viable sets for partially observable systems using truncated gaussians and adaptive gridding. ACC (2015)
Meeko M. K. Oishi
Assessing information availability for user-interfaces of shared control systems under reference tracking. ACC (2014)
Trisha Biswas, Kendra Lesser, Rudra Dutta, Meeko M. K. Oishi
Examining reliability of wireless multihop network routing with linear systems. HotSoS (2014)
Nick Malone, Kendra Lesser, Meeko M. K. Oishi, Lydia Tapia
Stochastic reachability based motion planning for multiple moving obstacle avoidance. HSCC (2014)
Kendra Lesser, Meeko M. K. Oishi
Approximate Verification of Partially Observable Discrete Time Stochastic Hybrid Systems. CoRR (2014)
Hao-Tien Chiang, Nick Malone, Kendra Lesser, Meeko M. K. Oishi, Lydia Tapia
Aggressive Moving Obstacle Avoidance Using a Stochastic Reachable Set Based Potential Field. WAFR (2014)
Trisha Biswas, Kendra Lesser, Rudra Dutta, Meeko M. K. Oishi
Using linear system reliability to obtain theoretical understanding of wireless routing. GLOBECOM (2014)
John N. Maidens, Shahab Kaynama, Ian M. Mitchell, Meeko M. K. Oishi, Guy Albert Dumont
Lagrangian methods for approximating the viability kernel in high-dimensional systems. Autom. 49 (7) (2013)
Kendra Lesser, Meeko M. K. Oishi, Richard Scott Erwin
Stochastic reachability for control of spacecraft relative motion. CDC (2013)
Shahab Kaynama, Meeko M. K. Oishi, Ian M. Mitchell, Guy Albert Dumont
Fixed-complexity piecewise ellipsoidal representation of the continual reachability set based on ellipsoidal techniques. ACC (2012)
Neda Eskandari, Meeko M. K. Oishi
Computing observable and predictable subspaces to evaluate user-interfaces of LTI systems under shared control. SMC (2011)
Meeko M. K. Oishi, Ahmad Ashoori, Martin J. McKeown
Mode Detection in switched pursuit tracking tasks: Hybrid estimation to measure performance in Parkinson's disease. CDC (2010)