Morteza Lahijanian

Orcid: 0000-0001-7549-4365

Affiliations:
  • University of Colorado Boulder, CO, USA


According to our database1, Morteza Lahijanian authored at least 90 papers between 2008 and 2024.

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Bibliography

2024
Sampling-Based Reactive Synthesis for Nondeterministic Hybrid Systems.
IEEE Robotics Autom. Lett., February, 2024

Chance-Constrained Multi-Robot Motion Planning Under Gaussian Uncertainties.
IEEE Robotics Autom. Lett., January, 2024

Error Bounds for Deep Learning-based Uncertainty Propagation in SDEs.
CoRR, 2024

Learning-Based Shielding for Safe Autonomy under Unknown Dynamics.
CoRR, 2024

Admissibility Over Winning: A New Approach to Reactive Synthesis in Robotics.
CoRR, 2024

Kino-PAX: Highly Parallel Kinodynamic Sampling-based Planner.
CoRR, 2024

Beyond Winning Strategies: Admissible and Admissible Winning Strategies for Quantitative Reachability Games.
CoRR, 2024

Error Bounds For Gaussian Process Regression Under Bounded Support Noise With Applications To Safety Certification.
CoRR, 2024

Finite Neural Networks as Mixtures of Gaussian Processes: From Provable Error Bounds to Prior Selection.
CoRR, 2024

Online Pareto-Optimal Decision-Making for Complex Tasks using Active Inference.
CoRR, 2024

Sound Heuristic Search Value Iteration for Undiscounted POMDPs with Reachability Objectives.
CoRR, 2024

Data-Driven Permissible Safe Control with Barrier Certificates.
CoRR, 2024

Piecewise Stochastic Barrier Functions.
CoRR, 2024

Uncertainty Propagation in Stochastic Systems via Mixture Models with Error Quantification.
CoRR, 2024

IntervalMDP.jl: Accelerated Value Iteration for Interval Markov Decision Processes.
CoRR, 2024

Temporal segmentation in multi agent path finding with applications to explainability.
Artif. Intell., 2024

Introducing Delays in Multi Agent Path Finding.
Proceedings of the Seventeenth International Symposium on Combinatorial Search, 2024

Data-driven strategy synthesis for stochastic systems with unknown nonlinear disturbances.
Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

Optimal Planning for Timed Partial Order Specifications.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Stochastic Games for Interactive Manipulation Domains.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Shielded Deep Reinforcement Learning for Complex Spacecraft Tasking.
Proceedings of the American Control Conference, 2024

2023
Formal Abstraction of General Stochastic Systems via Noise Partitioning.
IEEE Control. Syst. Lett., 2023

Promises of Deep Kernel Learning for Control Synthesis.
IEEE Control. Syst. Lett., 2023

Recursively-Constrained Partially Observable Markov Decision Processes.
CoRR, 2023

Unifying Safety Approaches for Stochastic Systems: From Barrier Functions to Uncertain Abstractions via Dynamic Programming.
CoRR, 2023

Introducing Delays in Multi-Agent Path Finding.
CoRR, 2023

Efficient Symbolic Approaches for Quantitative Reactive Synthesis with Finite Tasks.
IROS, 2023

Optimal Cost-Preference Trade-Off Planning with Multiple Temporal Tasks.
IROS, 2023

Chance-Constrained Motion Planning with Event-Triggered Estimation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Stochastic Robustness Interval for Motion Planning with Signal Temporal Logic.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Planning with SiMBA: Motion Planning under Uncertainty for Temporal Goals using Simplified Belief Guides.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

BNN-DP: Robustness Certification of Bayesian Neural Networks via Dynamic Programming.
Proceedings of the International Conference on Machine Learning, 2023

Poster Abstract: Sampling-based Approach to Robust STL Synthesis for Complex Systems under Uncertainty.
Proceedings of the 26th ACM International Conference on Hybrid Systems: Computation and Control, 2023

Interval Markov Decision Processes with Continuous Action-Spaces.
Proceedings of the 26th ACM International Conference on Hybrid Systems: Computation and Control, 2023

Timed Partial Order Inference Algorithm.
Proceedings of the Thirty-Third International Conference on Automated Planning and Scheduling, 2023

2022
Online Mapping and Motion Planning Under Uncertainty for Safe Navigation in Unknown Environments.
IEEE Trans Autom. Sci. Eng., 2022

Formal Control Synthesis for Stochastic Neural Network Dynamic Models.
IEEE Control. Syst. Lett., 2022

Formal Verification of Unknown Dynamical Systems via Gaussian Process Regression.
CoRR, 2022

Safety Guarantees for Neural Network Dynamic Systems via Stochastic Barrier Functions.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

An Algorithm for Learning Switched Linear Dynamics from Data.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Conflict-Based Search for Multi-Robot Motion Planning with Kinodynamic Constraints.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Let's Collaborate: Regret-based Reactive Synthesis for Robotic Manipulation.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Gaussian Belief Trees for Chance Constrained Asymptotically Optimal Motion Planning.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Pareto Optimal Strategies for Event-triggered Estimation.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Automaton-Guided Control Synthesis for Signal Temporal Logic Specifications.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Shielded Deep Reinforcement Learning for Multi-Sensor Spacecraft Imaging.
Proceedings of the American Control Conference, 2022

Conflict-Based Search for Explainable Multi-Agent Path Finding.
Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, 2022

2021
Formal and Efficient Synthesis for Continuous-Time Linear Stochastic Hybrid Processes.
IEEE Trans. Autom. Control., 2021

Probabilistic Specification Learning for Planning with Safety Constraints.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Finite-Horizon Synthesis for Probabilistic Manipulation Domains.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

MAPS-X: Explainable Multi-Robot Motion Planning via Segmentation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Strategy synthesis for partially-known switched stochastic systems.
Proceedings of the HSCC '21: 24th ACM International Conference on Hybrid Systems: Computation and Control, 2021

Synergistic Offline-Online Control Synthesis via Local Gaussian Process Regression.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
LTLf Synthesis on Probabilistic Systems.
Proceedings of the Proceedings 11th International Symposium on Games, 2020

Online Mapping and Motion Planning under Uncertainty for Safe Navigation in Unknown Environments.
CoRR, 2020

Safety Verification of Unknown Dynamical Systems via Gaussian Process Regression.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Explainable Multi Agent Path Finding.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019
Interval Markov Decision Processes with Multiple Objectives: From Robust Strategies to Pareto Curves.
ACM Trans. Model. Comput. Simul., 2019

Automated Abstraction of Manipulation Domains for Cost-Based Reactive Synthesis.
IEEE Robotics Autom. Lett., 2019

Gaze-based Intention Anticipation over Driving Manoeuvres in Semi-Autonomous Vehicles.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Efficiency through uncertainty: scalable formal synthesis for stochastic hybrid systems.
Proceedings of the 22nd ACM International Conference on Hybrid Systems: Computation and Control, 2019

Correct-by-Construction Advanced Driver Assistance Systems Based on a Cognitive Architecture.
Proceedings of the IEEE 2nd Connected and Automated Vehicles Symposium, 2019

2018
Resource-Performance Tradeoff Analysis for Mobile Robots.
IEEE Robotics Autom. Lett., 2018

Integrating Temporal Reasoning and Sampling-Based Motion Planning for Multigoal Problems With Dynamics and Time Windows.
IEEE Robotics Autom. Lett., 2018

Synthesis for Robots: Guarantees and Feedback for Robot Behavior.
Annu. Rev. Control. Robotics Auton. Syst., 2018

Uncertainty-based Online Mapping and Motion Planning for Marine Robotics Guidance.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2017
Multi-objective Robust Strategy Synthesis for Interval Markov Decision Processes.
Proceedings of the Quantitative Evaluation of Systems - 14th International Conference, 2017

Reactive synthesis for finite tasks under resource constraints.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

2016
Iterative Temporal Planning in Uncertain Environments With Partial Satisfaction Guarantees.
IEEE Trans. Robotics, 2016

Resource-Performance Trade-off Analysis for Mobile Robots.
CoRR, 2016

Specification revision for Markov decision processes with optimal trade-off.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Social Trust: A Major Challenge for the Future of Autonomous Systems.
Proceedings of the 2016 AAAI Fall Symposia, Arlington, Virginia, USA, November 17-19, 2016, 2016

2015
Formal Verification and Synthesis for Discrete-Time Stochastic Systems.
IEEE Trans. Autom. Control., 2015

Temporal logic motion control using actor-critic methods.
Int. J. Robotics Res., 2015

Towards manipulation planning with temporal logic specifications.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

This Time the Robot Settles for a Cost: A Quantitative Approach to Temporal Logic Planning with Partial Satisfaction.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Asymptotically Optimal Stochastic Motion Planning with Temporal Goals.
Proceedings of the Algorithmic Foundations of Robotics XI, 2014

Fast stochastic motion planning with optimality guarantees using local policy reconfiguration.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

A sampling-based strategy planner for nondeterministic hybrid systems.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Optimal and Efficient Stochastic Motion Planning in Partially-Known Environments.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Iterative temporal motion planning for hybrid systems in partially unknown environments.
Proceedings of the 16th international conference on Hybrid systems: computation and control, 2013

2012
Temporal Logic Motion Planning and Control With Probabilistic Satisfaction Guarantees.
IEEE Trans. Robotics, 2012

Approximate Markovian abstractions for linear stochastic systems.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011
Probabilistically Safe Vehicle Control in a Hostile Environment
CoRR, 2011

Least squares temporal difference actor-critic methods with applications to robot motion control.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Control of Markov decision processes from PCTL specifications.
Proceedings of the American Control Conference, 2011

2010
Motion planning and control from temporal logic specifications with probabilistic satisfaction guarantees.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

2009
Automatic deployment of autonomous cars in a Robotic Urban-Like Environment (RULE).
Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

A probabilistic approach for control of a stochastic system from LTL specifications.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008
Observers in Language-Based Control.
Commun. Inf. Syst., 2008


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