Panagiotis Tsiotras

ORCID

Publication Activity (10 Years)

Years Active: 1991-2024
Publications (10 Years): 182

Top Venues

Publications

Jaein Lim, Mahdi Ghanei, Richard Connor Lawson, Siddhartha S. Srinivasa, Panagiotis Tsiotras
Lazy incremental search for efficient replanning with bounded suboptimality guarantees. Int. J. Robotics Res. 43 (8) (2024)
Dongliang Zheng, Jack Ridderhof, Zhiyuan Zhang, Panagiotis Tsiotras, Ali-Akbar Agha-Mohammadi
CS-BRM: A Probabilistic RoadMap for Consistent Belief Space Planning With Reachability Guarantees. IEEE Trans. Robotics 40 (2024)
Panagiotis Tsiotras, Matthew C. Gombolay, Jakob Foerster
Editorial: Decision-making and planning for multi-agent systems. Frontiers Robotics AI 11 (2024)
Dongliang Zheng, Panagiotis Tsiotras
IBBT: Informed Batch Belief Trees for Motion Planning Under Uncertainty. ICRA (2024)
Jacob Knaup, Jovin D'sa, Behdad Chalaki, Tyler Naes, Hossein Nourkhiz Mahjoub, Ehsan Moradi-Pari, Panagiotis Tsiotras
Active Learning with Dual Model Predictive Path-Integral Control for Interaction-Aware Autonomous Highway On-ramp Merging. ICRA (2024)
Evangelos Psomiadis, Dipankar Maity, Panagiotis Tsiotras
Communication-Aware Map Compression for Online Path-Planning. ICRA (2024)
Matthew Abate, Mark Mote, Mehregan Dor, Corbin Klett, Sean Phillips, Kendra Lang, Panagiotis Tsiotras, Eric Feron, Samuel Coogan
Run Time Assurance for Spacecraft Attitude Control Under Nondeterministic Assumptions. IEEE Trans. Control. Syst. Technol. 32 (3) (2024)
Joshua Pilipovsky, Panagiotis Tsiotras
Distributionally Robust Density Control with Wasserstein Ambiguity Sets. CoRR (2024)
Joshua Pilipovsky, Panagiotis Tsiotras
Data-driven robust covariance control for uncertain linear systems. L4DC (2024)
Evangelos Psomiadis, Dipankar Maity, Panagiotis Tsiotras
Multi-agent Task-Driven Exploration via Intelligent Map Compression and Sharing. CoRR (2024)
Guangyu Wu, Panagiotis Tsiotras, Anders Lindquist
Distribution Steering for Discrete-Time Uncertain Ensemble Systems. CoRR (2024)
Yue Guan, Mohammad Afshari, Panagiotis Tsiotras
Zero-Sum Games between Mean-Field Teams: Reachability-Based Analysis under Mean-Field Sharing. AAAI (2024)
Shangjie Xue, Jesse Dill, Pranay Mathur, Frank Dellaert, Panagiotis Tsiotras, Danfei Xu
Neural Visibility Field for Uncertainty-Driven Active Mapping. CoRR (2024)
Fengjiao Liu, Panagiotis Tsiotras
Reachability and Controllability Analysis of the State Covariance for Linear Stochastic Systems. CoRR (2024)
Jacob W. Knaup, Panagiotis Tsiotras
Adaptive Dual Covariance Steering with Active Parameter Estimation. CoRR (2024)
Fengjiao Liu, Panagiotis Tsiotras
Optimal Covariance Steering for Continuous-Time Linear Stochastic Systems With Martingale Additive Noise. IEEE Trans. Autom. Control. 69 (4) (2024)
Jacob Knaup, Panagiotis Tsiotras
Covariance Steering for Systems Subject to Unknown Parameters. CoRR (2023)
Dongliang Zheng, Panagiotis Tsiotras
Kinodynamic FMT* with Dimensionality Reduction Heuristics and Neural Network Controllers. CoRR (2023)
George Rapakoulias, Panagiotis Tsiotras
Discrete-Time Optimal Covariance Steering via Semidefinite Programming. CDC (2023)
Joshua Pilipovsky, Panagiotis Tsiotras
Computationally Efficient Chance Constrained Covariance Control with Output Feedback. CoRR (2023)
Venkatraman Renganathan, Joshua Pilipovsky, Panagiotis Tsiotras
Distributionally Robust Covariance Steering with Optimal Risk Allocation. ACC (2023)
Ji Yin, Charles Dawson, Chuchu Fan, Panagiotis Tsiotras
Shield Model Predictive Path Integral: A Computationally Efficient Robust MPC Approach Using Control Barrier Functions. CoRR (2023)
Daigo Shishika, Yue Guan, Jason R. Marden, Michael R. Dorothy, Panagiotis Tsiotras, Vijay Kumar
Dynamic Adversarial Resource Allocation: the dDAB Game. CoRR (2023)
Kelsey P. Hawkins, Ali Pakniyat, Panagiotis Tsiotras
Value function estimators for Feynman-Kac forward-backward SDEs in stochastic optimal control. Autom. 158 (2023)
Evangelos Psomiadis, Dipankar Maity, Panagiotis Tsiotras
Communication-Aware Map Compression for Online Path-Planning. CoRR (2023)
Daniel T. Larsson, Arash Asgharivaskasi, Jaein Lim, Nikolay Atanasov, Panagiotis Tsiotras
Information-theoretic Abstraction of Semantic Octree Models for Integrated Perception and Planning. ICRA (2023)
Yue Guan, Longxu Pan, Daigo Shishika, Panagiotis Tsiotras
On the Adversarial Convex Body Chasing Problem. ACC (2023)
Dongliang Zheng, Panagiotis Tsiotras
LEA*: An A* Variant Algorithm with Improved Edge Efficiency for Robot Motion Planning. CoRR (2023)
Yue Guan, Mohammad Afshari, Panagiotis Tsiotras
Zero-Sum Games between Mean-Field Teams: A Common Information and Reachability based Analysis. CoRR (2023)
Joshua Pilipovsky, Vignesh Sivaramakrishnan, Meeko Oishi, Panagiotis Tsiotras
Probabilistic Verification of ReLU Neural Networks via Characteristic Functions. L4DC (2023)
Jacob Knaup, Panagiotis Tsiotras
Computationally Efficient Covariance Steering for Systems Subject to Parametric Disturbances and Chance Constraints. CoRR (2023)
Joshua Pilipovsky, Panagiotis Tsiotras
Data-Driven Covariance Steering Control Design. CDC (2023)
Ji Yin, Zhiyuan Zhang, Panagiotis Tsiotras
Risk-Aware Model Predictive Path Integral Control Using Conditional Value-at-Risk. ICRA (2023)
Dipankar Maity, Panagiotis Tsiotras
Optimal Quantizer Scheduling and Controller Synthesis for Partially Observable Linear Systems. SIAM J. Control. Optim. 61 (4) (2023)
Jacob W. Knaup, Panagiotis Tsiotras
Computationally Efficient Covariance Steering for Systems Subject to Parametric Disturbances and Chance Constraints. CDC (2023)
Travis Driver, Kento Tomita, Koki Ho, Panagiotis Tsiotras
Deep Monocular Hazard Detection for Safe Small Body Landing. CoRR (2023)
Travis Driver, Panagiotis Tsiotras
Efficient Feature Description for Small Body Relative Navigation using Binary Convolutional Neural Networks. CoRR (2023)
Hemanth Manjunatha, Panagiotis Tsiotras
Beyond One Model Fits All: Ensemble Deep Learning for Autonomous Vehicles. CoRR (2023)
Sagar Suhas Joshi, Seth Hutchinson, Panagiotis Tsiotras
LES: Locally Exploitative Sampling for Robot Path Planning. ICRA (2023)
Hemanth Manjunatha, Andrey Pak, Dimitar P. Filev, Panagiotis Tsiotras
KARNet: Kalman Filter Augmented Recurrent Neural Network for Learning World Models in Autonomous Driving Tasks. CoRR (2023)
Joshua Pilipovsky, Panagiotis Tsiotras
Data-Driven Covariance Steering Control Design. CoRR (2023)
Travis Driver, Andrew Vaughan, Yang Cheng, Adnan Ansar, John Christian, Panagiotis Tsiotras
Keypoint-based Stereophotoclinometry for Characterizing and Navigating Small Bodies: A Factor Graph Approach. CoRR (2023)
Joshua Pilipovsky, Panagiotis Tsiotras
Data-Driven Robust Covariance Control for Uncertain Linear Systems. CoRR (2023)
Jacob W. Knaup, Panagiotis Tsiotras
Covariance Steering for Systems Subject to Unknown Parameters. CDC (2023)
Jacob Knaup, Kazuhide Okamoto, Panagiotis Tsiotras
Safe High-Performance Autonomous Off-Road Driving Using Covariance Steering Stochastic Model Predictive Control. IEEE Trans. Control. Syst. Technol. 31 (5) (2023)
Panagiotis Tsiotras, Matthew King-Smith, Lorenzo Ticozzi
Spacecraft-Mounted Robotics. Annu. Rev. Control. Robotics Auton. Syst. 6 (2023)
Dongliang Zheng, Panagiotis Tsiotras
IBBT: Informed Batch Belief Trees for Motion Planning Under Uncertainty. CoRR (2023)
George Rapakoulias, Panagiotis Tsiotras
Discrete-time Optimal Covariance Steering via Semidefinite Programming. CoRR (2023)
Jacob Knaup, Jovin D'sa, Behdad Chalaki, Tyler Naes, Hossein Nourkhiz Mahjoub, Ehsan Moradi-Pari, Panagiotis Tsiotras
Active Learning with Dual Model Predictive Path-Integral Control for Interaction-Aware Autonomous Highway On-ramp Merging. CoRR (2023)
Ji Yin, Charles Dawson, Chuchu Fan, Panagiotis Tsiotras
Shield Model Predictive Path Integral: A Computationally Efficient Robust MPC Method Using Control Barrier Functions. IEEE Robotics Autom. Lett. 8 (11) (2023)
Sagar Suhas Joshi, Panagiotis Tsiotras
Non-Trivial Query Sampling For Efficient Learning To Plan. CoRR (2023)
Yue Guan, Mohammad Afshari, Qifan Zhang, Panagiotis Tsiotras
Hierarchical Decompositions of Stochastic Pursuit-Evasion Games. CDC (2022)
Yue Guan, Longxu Pan, Daigo Shishika, Panagiotis Tsiotras
Chasing Convex Bodies Generated by an Adversary. CoRR (2022)
Dipankar Maity, Panagiotis Tsiotras
Multiagent Consensus Subject to Communication and Privacy Constraints. IEEE Trans. Control. Netw. Syst. 9 (2) (2022)
Fengjiao Liu, Panagiotis Tsiotras
Optimal Covariance Steering for Continuous-Time Linear Stochastic Systems With Additive Generic Noise. CoRR (2022)
Jaein Lim, Mahdi Ghanei, Richard Connor Lawson, Siddhartha S. Srinivasa, Panagiotis Tsiotras
Lazy Incremental Search for Efficient Replanning with Bounded Suboptimality Guarantees. CoRR (2022)
Dipankar Maity, Panagiotis Tsiotras
Optimal Controller Synthesis and Dynamic Quantizer Switching for Linear-Quadratic-Gaussian Systems. IEEE Trans. Autom. Control. 67 (1) (2022)
John Matthew Brewer, Panagiotis Tsiotras
Exponential Stabilization of the Complete Attitude of an Underactuated Spacecraft. ACC (2022)
Yue Guan, Mi Zhou, Ali Pakniyat, Panagiotis Tsiotras
Shaping Large Population Agent Behaviors Through Entropy-Regularized Mean-Field Games. ACC (2022)
Matthew King-Smith, Panagiotis Tsiotras, Frank Dellaert
Simultaneous Control and Trajectory Estimation for Collision Avoidance of Autonomous Robotic Spacecraft Systems. ICRA (2022)
Ji Yin, Zhiyuan Zhang, Panagiotis Tsiotras
Risk-Aware Model Predictive Path Integral Control Using Conditional Value-at-Risk. CoRR (2022)
Mehregan Dor, Travis Driver, Kenneth Getzandanner, Panagiotis Tsiotras
AstroSLAM: Autonomous Monocular Navigation in the Vicinity of a Celestial Small Body - Theory and Experiments. CoRR (2022)
Jaein Lim, Panagiotis Tsiotras
CBS-Budget (CBSB): A Complete and Bounded Suboptimal Search for Multi-Agent Path Finding. CoRR (2022)
Vignesh Sivaramakrishnan, Joshua Pilipovsky, Meeko Oishi, Panagiotis Tsiotras
Distribution Steering for Discrete-Time Linear Systems with General Disturbances using Characteristic Functions. ACC (2022)
Andrey Pak, Hemanth Manjunatha, Dimitar P. Filev, Panagiotis Tsiotras
CARNet: A Dynamic Autoencoder for Learning Latent Dynamics in Autonomous Driving Tasks. CoRR (2022)
Fengjiao Liu, Panagiotis Tsiotras
Optimal Covariance Steering for Continuous-Time Linear Stochastic Systems With Multiplicative Noise. CoRR (2022)
Daniel T. Larsson, Dipankar Maity, Panagiotis Tsiotras
A Linear Programming Approach for Resource-Aware Information-Theoretic Tree Abstractions. CoRR (2022)
Daniel T. Larsson, Arash Asgharivaskasi, Jaein Lim, Nikolay Atanasov, Panagiotis Tsiotras
Information-theoretic Abstraction of Semantic Octree Models for Integrated Perception and Planning. CoRR (2022)
Travis Driver, Katherine A. Skinner, Mehregan Dor, Panagiotis Tsiotras
AstroVision: Towards Autonomous Feature Detection and Description for Missions to Small Bodies Using Deep Learning. CoRR (2022)
Venkata Ramana Makkapati, Vinodhini Comandur, Hemanth Sarabu, Panagiotis Tsiotras, Seth Hutchinson
Desensitized Strategies for Pursuit-Evasion Games with Asymmetric Information. CCTA (2022)
Joshua Pilipovsky, Vignesh Sivaramakrishnan, Meeko M. K. Oishi, Panagiotis Tsiotras
Probabilistic Verification of ReLU Neural Networks via Characteristic Functions. CoRR (2022)
Fengjiao Liu, George Rapakoulias, Panagiotis Tsiotras
Optimal Covariance Steering for Discrete-Time Linear Stochastic Systems. CoRR (2022)
Matthew King-Smith, Panagiotis Tsiotras, Frank Dellaert
Simultaneous Control and Trajectory Estimation for Collision Avoidance of Autonomous Robotic Spacecraft Systems. CoRR (2022)
Jaein Lim, Siddhartha S. Srinivasa, Panagiotis Tsiotras
Lazy Lifelong Planning for Efficient Replanning in Graphs with Expensive Edge Evaluation. IROS (2022)
Venkatraman Renganathan, Joshua Pilipovsky, Panagiotis Tsiotras
Distributionally Robust Covariance Steering with Optimal Risk Allocation. CoRR (2022)
Panagiotis Tsiotras
Control of Uncertainty of Control with Uncertainty? A New Control Design Paradigm for Stochastic Systems. ICINCO (2022)
Daniel T. Larsson, Dipankar Maity, Panagiotis Tsiotras
A Generalized Information-Theoretic Framework for the Emergence of Hierarchical Abstractions in Resource-Limited Systems. Entropy 24 (6) (2022)
Yue Guan, Mohammad Afshari, Qifan Zhang, Panagiotis Tsiotras
Hierarchical Decompositions of Stochastic Pursuit-Evasion Games. CoRR (2022)
Ji Yin, Zhiyuan Zhang, Evangelos A. Theodorou, Panagiotis Tsiotras
Trajectory Distribution Control for Model Predictive Path Integral Control using Covariance Steering. ICRA (2022)
Dongliang Zheng, Jack Ridderhof, Panagiotis Tsiotras, Ali-akbar Agha-mohammadi
Belief Space Planning: a Covariance Steering Approach. ICRA (2022)
Dongliang Zheng, Panagiotis Tsiotras
Accelerating Kinodynamic RRT* Through Dimensionality Reduction. IROS (2021)
Jaein Lim, Siddhartha S. Srinivasa, Panagiotis Tsiotras
Lazy Lifelong Planning for Efficient Replanning in Graphs with Expensive Edge Evaluation. CoRR (2021)
Daniel T. Larsson, Dipankar Maity, Panagiotis Tsiotras
Information-Theoretic Abstractions for Planning in Agents With Computational Constraints. IEEE Robotics Autom. Lett. 6 (4) (2021)
Yue Guan, Dipankar Maity, Christopher M. Kroninger, Panagiotis Tsiotras
Bounded-Rational Pursuit-Evasion Games. ACC (2021)
Jaein Lim, Panagiotis Tsiotras
A Generalized A* Algorithm for Finding Globally Optimal Paths in Weighted Colored Graphs. ICRA (2021)
Daniel T. Larsson, Dipankar Maity, Panagiotis Tsiotras
Information-Theoretic Abstractions for Resource-Constrained Agents via Mixed-Integer Linear Programming. CoRR (2021)
Dongliang Zheng, Jack Ridderhof, Panagiotis Tsiotras, Ali-akbar Agha-mohammadi
Belief Space Planning: A Covariance Steering Approach. CoRR (2021)
Sagar Suhas Joshi, Seth Hutchinson, Panagiotis Tsiotras
LES: Locally Exploitative Sampling for Robot Path Planning. CoRR (2021)
Dipankar Maity, Panagiotis Tsiotras
Multi-Agent Consensus Subject to Communication and Privacy Constraints. CoRR (2021)
Jaein Lim, Oren Salzman, Panagiotis Tsiotras
Class-Ordered LPA*: An Incremental-Search Algorithm for Weighted Colored Graphs. IROS (2021)
Joshua Pilipovsky, Panagiotis Tsiotras
Chance-Constrained Optimal Covariance Steering with Iterative Risk Allocation. ACC (2021)
Ali Pakniyat, Panagiotis Tsiotras
Steering the State of Linear Stochastic Systems: A Constrained Minimum Principle Formulation. ACC (2021)
Dongliang Zheng, Panagiotis Tsiotras
Accelerating Kinodynamic RRT* Through Dimensionality Reduction. CoRR (2021)
Kelsey P. Hawkins, Ali Pakniyat, Panagiotis Tsiotras
On the Time Discretization of the Feynman-Kac Forward-Backward Stochastic Differential Equations for Value Function Approximation. CoRR (2021)
Ji Yin, Zhiyuan Zhang, Evangelos A. Theodorou, Panagiotis Tsiotras
Improving Model Predictive Path Integral using Covariance Steering. CoRR (2021)
Joshua Pilipovsky, Panagiotis Tsiotras
Covariance Steering With Optimal Risk Allocation. IEEE Trans. Aerosp. Electron. Syst. 57 (6) (2021)
Jack Ridderhof, Panagiotis Tsiotras
Chance-Constrained Covariance Steering in a Gaussian Random Field via Successive Convex Programming. CoRR (2021)
George J. Pappas, Kostas Daniilidis, Leonidas J. Guibas, Lydia E. Kavraki, Petros Koumoutsakos, Kostas J. Kyriakopoulos, John Lygeros, Michael S. Triantafyllou, Panagiotis Tsiotras
Robotics in the AI era: A vision for a Hellenic Robotics Initiative. Found. Trends Robotics 9 (3) (2021)
Jack Ridderhof, Panagiotis Tsiotras, Breanna J. Johnson
Stochastic Entry Guidance. CoRR (2021)
Kelsey P. Hawkins, Ali Pakniyat, Evangelos A. Theodorou, Panagiotis Tsiotras
Forward-Backward Rapidly-Exploring Random Trees for Stochastic Optimal Control. CDC (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Panagiotis Tsiotras