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Panagiotis Tsiotras
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2020 – today
- 2024
- [j72]Panagiotis Tsiotras, Matthew C. Gombolay, Jakob Foerster:
Editorial: Decision-making and planning for multi-agent systems. Frontiers Robotics AI 11 (2024) - [j71]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): 1175-1207 (2024) - [j70]Anjali Parashar, Ji Yin, Charles Dawson, Panagiotis Tsiotras, Chuchu Fan:
Learning-Based Bayesian Inference for Testing of Autonomous Systems. IEEE Robotics Autom. Lett. 9(10): 9063-9070 (2024) - [j69]Fengjiao Liu, Panagiotis Tsiotras:
Optimal Covariance Steering for Continuous-Time Linear Stochastic Systems With Martingale Additive Noise. IEEE Trans. Autom. Control. 69(4): 2591-2597 (2024) - [j68]Kelsey P. Hawkins, Ali Pakniyat, Evangelos A. Theodorou, Panagiotis Tsiotras:
Solving Feynman-Kac Forward-Backward SDEs Using McKean-Markov Branched Sampling. IEEE Trans. Autom. Control. 69(9): 5695-5710 (2024) - [j67]Fengjiao Liu, Panagiotis Tsiotras:
Optimal Covariance Steering for Continuous-Time Linear Stochastic Systems With Multiplicative Noise. IEEE Trans. Autom. Control. 69(10): 7247-7254 (2024) - [j66]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): 862-873 (2024) - [j65]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: 1630-1649 (2024) - [c140]Yue Guan, Mohammad Afshari, Panagiotis Tsiotras:
Zero-Sum Games between Mean-Field Teams: Reachability-Based Analysis under Mean-Field Sharing. AAAI 2024: 9731-9739 - [c139]Shangjie Xue, Jesse Dill, Pranay Mathur, Frank Dellaert, Panagiotis Tsiotras, Danfei Xu:
Neural Visibility Field for Uncertainty-Driven Active Mapping. CVPR 2024: 18122-18132 - [c138]Dongliang Zheng, Panagiotis Tsiotras:
IBBT: Informed Batch Belief Trees for Motion Planning Under Uncertainty. ICRA 2024: 2403-2409 - [c137]Evangelos Psomiadis, Dipankar Maity, Panagiotis Tsiotras:
Communication-Aware Map Compression for Online Path-Planning. ICRA 2024: 12368-12374 - [c136]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: 14191-14197 - [c135]Joshua Pilipovsky, Panagiotis Tsiotras:
Data-driven robust covariance control for uncertain linear systems. L4DC 2024: 667-678 - [i85]Joshua Pilipovsky, Panagiotis Tsiotras:
Distributionally Robust Density Control with Wasserstein Ambiguity Sets. CoRR abs/2403.12378 (2024) - [i84]Evangelos Psomiadis, Dipankar Maity, Panagiotis Tsiotras:
Multi-agent Task-Driven Exploration via Intelligent Map Compression and Sharing. CoRR abs/2403.14780 (2024) - [i83]Jacob W. Knaup, Panagiotis Tsiotras:
Adaptive Dual Covariance Steering with Active Parameter Estimation. CoRR abs/2403.15590 (2024) - [i82]Guangyu Wu, Panagiotis Tsiotras, Anders Lindquist:
Distribution Steering for Discrete-Time Uncertain Ensemble Systems. CoRR abs/2405.12415 (2024) - [i81]Shangjie Xue, Jesse Dill, Pranay Mathur, Frank Dellaert, Panagiotis Tsiotras, Danfei Xu:
Neural Visibility Field for Uncertainty-Driven Active Mapping. CoRR abs/2406.06948 (2024) - [i80]Fengjiao Liu, Panagiotis Tsiotras:
Reachability and Controllability Analysis of the State Covariance for Linear Stochastic Systems. CoRR abs/2406.14740 (2024) - [i79]Ji Yin, Panagiotis Tsiotras, Karl Berntorp:
Chance-Constrained Information-Theoretic Stochastic Model Predictive Control with Safety Shielding. CoRR abs/2408.00494 (2024) - [i78]Joshua Pilipovsky, Panagiotis Tsiotras:
DUST: A Framework for Data-Driven Density Steering. CoRR abs/2408.02777 (2024) - [i77]George Rapakoulias, Panagiotis Tsiotras:
Discrete-Time Maximum Likelihood Neural Distribution Steering. CoRR abs/2409.02272 (2024) - [i76]George Rapakoulias, Panagiotis Tsiotras:
Stochastic Control of UAVs: An Optimal Tradeoff between Performance, Flight Smoothness and Control Effort. CoRR abs/2409.10369 (2024) - [i75]Zhiyuan Zhang, Panagiotis Tsiotras:
Residual Descent Differential Dynamic Game (RD3G) - A Fast Newton Solver for Constrained General Sum Games. CoRR abs/2409.12152 (2024) - [i74]Juan-Diego Florez, Mehregan Dor, Panagiotis Tsiotras:
Initialization of Monocular Visual Navigation for Autonomous Agents Using Modified Structure from Small Motion. CoRR abs/2409.16465 (2024) - 2023
- [j64]Panagiotis Tsiotras, Matthew King-Smith, Lorenzo Ticozzi:
Spacecraft-Mounted Robotics. Annu. Rev. Control. Robotics Auton. Syst. 6: 335-362 (2023) - [j63]Kelsey P. Hawkins, Ali Pakniyat, Panagiotis Tsiotras:
Value function estimators for Feynman-Kac forward-backward SDEs in stochastic optimal control. Autom. 158: 111281 (2023) - [j62]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): 7106-7113 (2023) - [j61]Dipankar Maity, Panagiotis Tsiotras:
Optimal Quantizer Scheduling and Controller Synthesis for Partially Observable Linear Systems. SIAM J. Control. Optim. 61(4): 2682-2707 (2023) - [j60]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): 2066-2081 (2023) - [c134]Yue Guan, Longxu Pan, Daigo Shishika, Panagiotis Tsiotras:
On the Adversarial Convex Body Chasing Problem. ACC 2023: 435-440 - [c133]Venkatraman Renganathan, Joshua Pilipovsky, Panagiotis Tsiotras:
Distributionally Robust Covariance Steering with Optimal Risk Allocation. ACC 2023: 2607-2614 - [c132]Jacob W. Knaup, Panagiotis Tsiotras:
Covariance Steering for Systems Subject to Unknown Parameters. CDC 2023: 1790-1795 - [c131]Jacob W. Knaup, Panagiotis Tsiotras:
Computationally Efficient Covariance Steering for Systems Subject to Parametric Disturbances and Chance Constraints. CDC 2023: 1796-1801 - [c130]George Rapakoulias, Panagiotis Tsiotras:
Discrete-Time Optimal Covariance Steering via Semidefinite Programming. CDC 2023: 1802-1807 - [c129]Joshua Pilipovsky, Panagiotis Tsiotras:
Data-Driven Covariance Steering Control Design. CDC 2023: 2610-2615 - [c128]Sagar Suhas Joshi, Seth Hutchinson, Panagiotis Tsiotras:
LES: Locally Exploitative Sampling for Robot Path Planning. ICRA 2023: 1551-1557 - [c127]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: 6937-6943 - [c126]Ji Yin, Zhiyuan Zhang, Panagiotis Tsiotras:
Risk-Aware Model Predictive Path Integral Control Using Conditional Value-at-Risk. ICRA 2023: 7937-7943 - [c125]Joshua Pilipovsky, Vignesh Sivaramakrishnan, Meeko Oishi, Panagiotis Tsiotras:
Probabilistic Verification of ReLU Neural Networks via Characteristic Functions. L4DC 2023: 966-979 - [i73]Jacob Knaup, Panagiotis Tsiotras:
Computationally Efficient Covariance Steering for Systems Subject to Parametric Disturbances and Chance Constraints. CoRR abs/2301.07308 (2023) - [i72]Travis Driver, Kento Tomita, Koki Ho, Panagiotis Tsiotras:
Deep Monocular Hazard Detection for Safe Small Body Landing. CoRR abs/2301.13254 (2023) - [i71]Ji Yin, Charles Dawson, Chuchu Fan, Panagiotis Tsiotras:
Shield Model Predictive Path Integral: A Computationally Efficient Robust MPC Approach Using Control Barrier Functions. CoRR abs/2302.11719 (2023) - [i70]George Rapakoulias, Panagiotis Tsiotras:
Discrete-time Optimal Covariance Steering via Semidefinite Programming. CoRR abs/2302.14296 (2023) - [i69]Sagar Suhas Joshi, Panagiotis Tsiotras:
Non-Trivial Query Sampling For Efficient Learning To Plan. CoRR abs/2303.06737 (2023) - [i68]Jacob Knaup, Panagiotis Tsiotras:
Covariance Steering for Systems Subject to Unknown Parameters. CoRR abs/2303.10293 (2023) - [i67]Yue Guan, Mohammad Afshari, Panagiotis Tsiotras:
Zero-Sum Games between Mean-Field Teams: A Common Information and Reachability based Analysis. CoRR abs/2303.12243 (2023) - [i66]Joshua Pilipovsky, Panagiotis Tsiotras:
Data-Driven Covariance Steering Control Design. CoRR abs/2303.17675 (2023) - [i65]Daigo Shishika, Yue Guan, Jason R. Marden, Michael R. Dorothy, Panagiotis Tsiotras, Vijay Kumar:
Dynamic Adversarial Resource Allocation: the dDAB Game. CoRR abs/2304.02172 (2023) - [i64]Travis Driver, Panagiotis Tsiotras:
Efficient Feature Description for Small Body Relative Navigation using Binary Convolutional Neural Networks. CoRR abs/2304.04985 (2023) - [i63]Dongliang Zheng, Panagiotis Tsiotras:
IBBT: Informed Batch Belief Trees for Motion Planning Under Uncertainty. CoRR abs/2304.10984 (2023) - [i62]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 abs/2305.14644 (2023) - [i61]Dongliang Zheng, Panagiotis Tsiotras:
Kinodynamic FMT* with Dimensionality Reduction Heuristics and Neural Network Controllers. CoRR abs/2306.02524 (2023) - [i60]Dongliang Zheng, Panagiotis Tsiotras:
LEA*: An A* Variant Algorithm with Improved Edge Efficiency for Robot Motion Planning. CoRR abs/2309.10722 (2023) - [i59]Evangelos Psomiadis, Dipankar Maity, Panagiotis Tsiotras:
Communication-Aware Map Compression for Online Path-Planning. CoRR abs/2309.13451 (2023) - [i58]Joshua Pilipovsky, Panagiotis Tsiotras:
Computationally Efficient Chance Constrained Covariance Control with Output Feedback. CoRR abs/2310.02485 (2023) - [i57]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 abs/2310.07840 (2023) - [i56]Hemanth Manjunatha, Panagiotis Tsiotras:
Beyond One Model Fits All: Ensemble Deep Learning for Autonomous Vehicles. CoRR abs/2312.05759 (2023) - [i55]Joshua Pilipovsky, Panagiotis Tsiotras:
Data-Driven Robust Covariance Control for Uncertain Linear Systems. CoRR abs/2312.05833 (2023) - [i54]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 abs/2312.06865 (2023) - 2022
- [j59]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): 809 (2022) - [j58]Dipankar Maity, Panagiotis Tsiotras:
Optimal Controller Synthesis and Dynamic Quantizer Switching for Linear-Quadratic-Gaussian Systems. IEEE Trans. Autom. Control. 67(1): 382-389 (2022) - [j57]Dipankar Maity, Panagiotis Tsiotras:
Multiagent Consensus Subject to Communication and Privacy Constraints. IEEE Trans. Control. Netw. Syst. 9(2): 943-955 (2022) - [c124]John Matthew Brewer, Panagiotis Tsiotras:
Exponential Stabilization of the Complete Attitude of an Underactuated Spacecraft. ACC 2022: 1139-1144 - [c123]Vignesh Sivaramakrishnan, Joshua Pilipovsky, Meeko Oishi, Panagiotis Tsiotras:
Distribution Steering for Discrete-Time Linear Systems with General Disturbances using Characteristic Functions. ACC 2022: 4183-4190 - [c122]Yue Guan, Mi Zhou, Ali Pakniyat, Panagiotis Tsiotras:
Shaping Large Population Agent Behaviors Through Entropy-Regularized Mean-Field Games. ACC 2022: 4429-4435 - [c121]Venkata Ramana Makkapati, Vinodhini Comandur, Hemanth Sarabu, Panagiotis Tsiotras, Seth Hutchinson:
Desensitized Strategies for Pursuit-Evasion Games with Asymmetric Information. CCTA 2022: 219-224 - [c120]Yue Guan, Mohammad Afshari, Qifan Zhang, Panagiotis Tsiotras:
Hierarchical Decompositions of Stochastic Pursuit-Evasion Games. CDC 2022: 5062-5067 - [c119]Panagiotis Tsiotras:
Control of Uncertainty of Control with Uncertainty? A New Control Design Paradigm for Stochastic Systems. ICINCO 2022: 9 - [c118]Matthew King-Smith, Panagiotis Tsiotras, Frank Dellaert:
Simultaneous Control and Trajectory Estimation for Collision Avoidance of Autonomous Robotic Spacecraft Systems. ICRA 2022: 257-264 - [c117]Ji Yin, Zhiyuan Zhang, Evangelos A. Theodorou, Panagiotis Tsiotras:
Trajectory Distribution Control for Model Predictive Path Integral Control using Covariance Steering. ICRA 2022: 1478-1484 - [c116]Dongliang Zheng, Jack Ridderhof, Panagiotis Tsiotras, Ali-akbar Agha-mohammadi:
Belief Space Planning: a Covariance Steering Approach. ICRA 2022: 11051-11057 - [c115]Jaein Lim, Siddhartha S. Srinivasa, Panagiotis Tsiotras:
Lazy Lifelong Planning for Efficient Replanning in Graphs with Expensive Edge Evaluation. IROS 2022: 8778-8783 - [i53]Matthew King-Smith, Panagiotis Tsiotras, Frank Dellaert:
Simultaneous Control and Trajectory Estimation for Collision Avoidance of Autonomous Robotic Spacecraft Systems. CoRR abs/2204.13251 (2022) - [i52]Yue Guan, Mohammad Afshari, Qifan Zhang, Panagiotis Tsiotras:
Hierarchical Decompositions of Stochastic Pursuit-Evasion Games. CoRR abs/2205.00885 (2022) - [i51]Andrey Pak, Hemanth Manjunatha, Dimitar P. Filev, Panagiotis Tsiotras:
CARNet: A Dynamic Autoencoder for Learning Latent Dynamics in Autonomous Driving Tasks. CoRR abs/2205.08712 (2022) - [i50]Jaein Lim, Panagiotis Tsiotras:
CBS-Budget (CBSB): A Complete and Bounded Suboptimal Search for Multi-Agent Path Finding. CoRR abs/2206.00130 (2022) - [i49]Fengjiao Liu, Panagiotis Tsiotras:
Optimal Covariance Steering for Continuous-Time Linear Stochastic Systems With Additive Generic Noise. CoRR abs/2206.11201 (2022) - [i48]Fengjiao Liu, Panagiotis Tsiotras:
Optimal Covariance Steering for Continuous-Time Linear Stochastic Systems With Multiplicative Noise. CoRR abs/2206.11735 (2022) - [i47]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 abs/2208.02053 (2022) - [i46]Daniel T. Larsson, Dipankar Maity, Panagiotis Tsiotras:
A Linear Programming Approach for Resource-Aware Information-Theoretic Tree Abstractions. CoRR abs/2208.04220 (2022) - [i45]Daniel T. Larsson, Arash Asgharivaskasi, Jaein Lim, Nikolay Atanasov, Panagiotis Tsiotras:
Information-theoretic Abstraction of Semantic Octree Models for Integrated Perception and Planning. CoRR abs/2209.10035 (2022) - [i44]Ji Yin, Zhiyuan Zhang, Panagiotis Tsiotras:
Risk-Aware Model Predictive Path Integral Control Using Conditional Value-at-Risk. CoRR abs/2209.12842 (2022) - [i43]Yue Guan, Longxu Pan, Daigo Shishika, Panagiotis Tsiotras:
Chasing Convex Bodies Generated by an Adversary. CoRR abs/2209.13606 (2022) - [i42]Venkatraman Renganathan, Joshua Pilipovsky, Panagiotis Tsiotras:
Distributionally Robust Covariance Steering with Optimal Risk Allocation. CoRR abs/2210.00050 (2022) - [i41]Jaein Lim, Mahdi Ghanei, Richard Connor Lawson, Siddhartha S. Srinivasa, Panagiotis Tsiotras:
Lazy Incremental Search for Efficient Replanning with Bounded Suboptimality Guarantees. CoRR abs/2210.12851 (2022) - [i40]Fengjiao Liu, George Rapakoulias, Panagiotis Tsiotras:
Optimal Covariance Steering for Discrete-Time Linear Stochastic Systems. CoRR abs/2211.00618 (2022) - [i39]Mehregan Dor, Travis Driver, Kenneth Getzandanner, Panagiotis Tsiotras:
AstroSLAM: Autonomous Monocular Navigation in the Vicinity of a Celestial Small Body - Theory and Experiments. CoRR abs/2212.00350 (2022) - [i38]Joshua Pilipovsky, Vignesh Sivaramakrishnan, Meeko M. K. Oishi, Panagiotis Tsiotras:
Probabilistic Verification of ReLU Neural Networks via Characteristic Functions. CoRR abs/2212.01544 (2022) - 2021
- [j56]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): 201-265 (2021) - [j55]Sagar Suhas Joshi, Seth Hutchinson, Panagiotis Tsiotras:
TIE: Time-Informed Exploration for Robot Motion Planning. IEEE Robotics Autom. Lett. 6(2): 3585-3591 (2021) - [j54]Daniel T. Larsson, Dipankar Maity, Panagiotis Tsiotras:
Information-Theoretic Abstractions for Planning in Agents With Computational Constraints. IEEE Robotics Autom. Lett. 6(4): 7651-7658 (2021) - [j53]Joshua Pilipovsky, Panagiotis Tsiotras:
Covariance Steering With Optimal Risk Allocation. IEEE Trans. Aerosp. Electron. Syst. 57(6): 3719-3733 (2021) - [j52]Changxi You, Panagiotis Tsiotras:
High-Speed Cornering for Autonomous Off-Road Rally Racing. IEEE Trans. Control. Syst. Technol. 29(2): 485-501 (2021) - [c114]Ali Pakniyat, Panagiotis Tsiotras:
Steering the State of Linear Stochastic Systems: A Constrained Minimum Principle Formulation. ACC 2021: 1300-1305 - [c113]Joshua Pilipovsky, Panagiotis Tsiotras:
Chance-Constrained Optimal Covariance Steering with Iterative Risk Allocation. ACC 2021: 2011-2016 - [c112]Yue Guan, Dipankar Maity, Christopher M. Kroninger, Panagiotis Tsiotras:
Bounded-Rational Pursuit-Evasion Games. ACC 2021: 3216-3221 - [c111]John Matthew Brewer, Panagiotis Tsiotras, Kendra Lang, Sean Phillips:
Falsification-based Verification for Multi-Mode Spacecraft Attitude Control Systems. ACC 2021: 4296-4301 - [c110]Kelsey P. Hawkins, Ali Pakniyat, Panagiotis Tsiotras:
On the Time Discretization of the Feynman-Kac Forward-Backward Stochastic Differential Equations for Value Function Approximation. CDC 2021: 892-897 - [c109]Kelsey P. Hawkins, Ali Pakniyat, Evangelos A. Theodorou, Panagiotis Tsiotras:
Forward-Backward Rapidly-Exploring Random Trees for Stochastic Optimal Control. CDC 2021: 912-917 - [c108]Ali Pakniyat, Panagiotis Tsiotras:
Partially Observed Steering the State of Linear Stochastic Systems. CDC 2021: 3780-3785 - [c107]Daniel T. Larsson, Dipankar Maity, Panagiotis Tsiotras:
Information-theoretic abstractions for resource-constrained agents via mixed-integer linear programming. CAADCPS@CPSIoTWeek 2021: 1-6 - [c106]Mehregan Dor, Katherine A. Skinner, Travis Driver, Panagiotis Tsiotras:
Visual SLAM for Asteroid Relative Navigation. CVPR Workshops 2021: 2066-2075 - [c105]Jaein Lim, Panagiotis Tsiotras:
A Generalized A* Algorithm for Finding Globally Optimal Paths in Weighted Colored Graphs. ICRA 2021: 7503-7509 - [c104]Yue Guan, Qifan Zhang, Panagiotis Tsiotras:
Learning Nash Equilibria in Zero-Sum Stochastic Games via Entropy-Regularized Policy Approximation. IJCAI 2021: 2462-2468 - [c103]Dongliang Zheng, Panagiotis Tsiotras:
Accelerating Kinodynamic RRT* Through Dimensionality Reduction. IROS 2021: 3674-3680 - [c102]Jaein Lim, Oren Salzman, Panagiotis Tsiotras:
Class-Ordered LPA*: An Incremental-Search Algorithm for Weighted Colored Graphs. IROS 2021: 6907-6913 - [i37]Jack Ridderhof, Panagiotis Tsiotras:
Chance-Constrained Covariance Steering in a Gaussian Random Field via Successive Convex Programming. CoRR abs/2101.09634 (2021) - [i36]Daniel T. Larsson, Dipankar Maity, Panagiotis Tsiotras:
Information-Theoretic Abstractions for Resource-Constrained Agents via Mixed-Integer Linear Programming. CoRR abs/2102.10015 (2021) - [i35]Dipankar Maity, Panagiotis Tsiotras:
Multi-Agent Consensus Subject to Communication and Privacy Constraints. CoRR abs/2102.10642 (2021) - [i34]Sagar Suhas Joshi, Seth Hutchinson, Panagiotis Tsiotras:
LES: Locally Exploitative Sampling for Robot Path Planning. CoRR abs/2102.13064 (2021) - [i33]Jack Ridderhof, Panagiotis Tsiotras, Breanna J. Johnson:
Stochastic Entry Guidance. CoRR abs/2103.05168 (2021) - [i32]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 abs/2103.14246 (2021) - [i31]Dongliang Zheng, Jack Ridderhof, Panagiotis Tsiotras, Ali-akbar Agha-mohammadi:
Belief Space Planning: A Covariance Steering Approach. CoRR abs/2105.11092 (2021) - [i30]Jaein Lim, Siddhartha S. Srinivasa, Panagiotis Tsiotras:
Lazy Lifelong Planning for Efficient Replanning in Graphs with Expensive Edge Evaluation. CoRR abs/2105.12076 (2021) - [i29]Dongliang Zheng, Panagiotis Tsiotras:
Accelerating Kinodynamic RRT* Through Dimensionality Reduction. CoRR abs/2107.01259 (2021) - [i28]Ji Yin, Zhiyuan Zhang, Evangelos A. Theodorou, Panagiotis Tsiotras:
Improving Model Predictive Path Integral using Covariance Steering. CoRR abs/2109.12147 (2021) - [i27]Dongliang Zheng, Panagiotis Tsiotras:
Batch Belief Trees for Motion Planning Under Uncertainty. CoRR abs/2110.00173 (2021) - [i26]Yue Guan, Mi Zhou, Ali Pakniyat, Panagiotis Tsiotras:
Shaping Large Population Agent Behaviors Through Entropy-Regularized Mean-Field Games. CoRR abs/2110.07469 (2021) - 2020
- [j51]Venkata Ramana Makkapati, Hemanth Sarabu, Vinodhini Comandur, Panagiotis Tsiotras, Seth Hutchinson:
Safe Optimal Control Under Parametric Uncertainties. IEEE Robotics Autom. Lett. 5(4): 5725-5731 (2020) - [j50]