Jana Tumova

Orcid: 0000-0003-4173-2593

According to our database1, Jana Tumova authored at least 83 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Transitional Grid Maps: Efficient Analytical Inference of Dynamic Environments under Limited Sensing.
CoRR, 2024

Robust Active Measuring under Model Uncertainty.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Belief Control Barrier Functions for Risk-Aware Control.
IEEE Robotics Autom. Lett., December, 2023

SpaTiaL: monitoring and planning of robotic tasks using spatio-temporal logic specifications.
Auton. Robots, December, 2023

Safe Data-Driven Model Predictive Control of Systems With Complex Dynamics.
IEEE Trans. Robotics, August, 2023

Temporally Robust Multi-Agent STL Motion Planning in Continuous Time.
CoRR, 2023

Risk-aware Control for Robots with Non-Gaussian Belief Spaces.
CoRR, 2023

Non-smooth Control Barrier Functions for Stochastic Dynamical Systems.
CoRR, 2023

Follow my Advice: Assume-Guarantee Approach to Task Planning with Human in the Loop.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Decentralized Multi-agent Coordination under MITL Specifications and Communication Constraints.
Proceedings of the 31st Mediterranean Conference on Control and Automatio, 2023

Generating Scenarios from High-Level Specifications for Object Rearrangement Tasks.
IROS, 2023

VARIQuery: VAE Segment-Based Active Learning for Query Selection in Preference-Based Reinforcement Learning.
IROS, 2023

Real-Time RRT<sup>*</sup> with Signal Temporal Logic Preferences.
IROS, 2023

Risk-aware Spatio-temporal Logic Planning in Gaussian Belief Spaces.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Aligning Human Preferences with Baseline Objectives in Reinforcement Learning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Network Parameter Control in Cellular Networks through Graph-Based Multi-Agent Constrained Reinforcement Learning.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

2022
Human-Feedback Shield Synthesis for Perceived Safety in Deep Reinforcement Learning.
IEEE Robotics Autom. Lett., 2022

Foresee the Unseen: Sequential Reasoning about Hidden Obstacles for Safe Driving.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

Inference of Multi-Class STL Specifications for Multi-Label Human-Robot Encounters.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Decentralized Multi-agent Coordination under MITL Tasks and Communication Constraints.
Proceedings of the 13th ACM/IEEE International Conference on Cyber-Physical Systems, 2022

Evaluating Sequential Reasoning about Hidden Objects in Traffic.
Proceedings of the 13th ACM/IEEE International Conference on Cyber-Physical Systems, 2022

Correct Me If I'm Wrong: Using Non-Experts to Repair Reinforcement Learning Policies.
Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2022

2021
Coupled Multi-Robot Systems Under Linear Temporal Logic and Signal Temporal Logic Tasks.
IEEE Trans. Control. Syst. Technol., 2021

Semantic Abstraction-Guided Motion Planning for scLTL Missions in Unknown Environments.
Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Decentralized Multi-Agent Strategy Synthesis under LTLf Specifications via Exchange of Least-Limiting Advisers.
Proceedings of the International Symposium on Multi-Robot and Multi-Agent Systems, 2021

Risk-aware Motion Planning for Autonomous Vehicles with Safety Specifications.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

Formalizing Trajectories in Human-Robot Encounters via Probabilistic STL Inference.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Robust Feedback Motion Primitives for Exploration of Unknown Terrains.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Encoding Human Driving Styles in Motion Planning for Autonomous Vehicles.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

When to Terminate: Path Non-existence Verification Improves Sampling-based Motion Planning.
Proceedings of the 20th International Conference on Advanced Robotics, 2021

Safe Data-Driven Contact-Rich Manipulation.
Proceedings of the 20th IEEE-RAS International Conference on Humanoid Robots, 2021

Should Robots Chicken?: How Anthropomorphism and Perceived Autonomy Influence Trajectories in a Game-theoretic Problem.
Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2021

Formal Methods for Robot Motion Planning with Time and Space Constraints (Extended Abstract).
Proceedings of the Formal Modeling and Analysis of Timed Systems, 2021

Risk-Aware Motion Planning in Partially Known Environments.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Closed-loop incremental stability for efficient symbolic control of non-linear systems.
Proceedings of the 7th IFAC Conference on Analysis and Design of Hybrid Systems, 2021

2020
Provably Safe Control of Lagrangian Systems in Obstacle-Scattered Environments.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Safe Motion Planning for an Uncertain Non-Holonomic System with Temporal Logic Specification.
Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020

Multi-Agent Strategy Synthesis for LTL Specifications through Assumption Composition.
Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020

Active Learning of Signal Temporal Logic Specifications.
Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020

Intention-aware motion planning with road rules.
Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020

Point-Based Methods for Model Checking in Partially Observable Markov Decision Processes.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Guiding Autonomous Exploration With Signal Temporal Logic.
IEEE Robotics Autom. Lett., 2019

Reinforcement Learning with Probabilistic Guarantees for Autonomous Driving.
CoRR, 2019

Structured Synthesis for Probabilistic Systems.
Proceedings of the NASA Formal Methods - 11th International Symposium, 2019

Robust Motion Planning for Non-holonomic Robots with Planar Geometric Constraints.
Proceedings of the Robotics Research, 2019

Integrated Motion Planning and Control Under Metric Interval Temporal Logic Specifications.
Proceedings of the 17th European Control Conference, 2019

2018
On the timed temporal logic planning of coupled multi-agent systems.
Autom., 2018

Towards multi-robot applications planning under uncertainty.
Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, 2018

Multi-Vehicle Motion Planning for Social Optimal Mobility-on-Demand.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Multi-robot LTL Planning Under Uncertainty.
Proceedings of the Formal Methods - 22nd International Symposium, 2018

Decentralized Dynamic Multi-Vehicle Routing via Fast Marching Method.
Proceedings of the 16th European Control Conference, 2018

2017
Probabilistic Plan Synthesis for Coupled Multi-Agent Systems.
CoRR, 2017

Engineering the software of robotic systems.
Proceedings of the 39th International Conference on Software Engineering, 2017

Minimum-violation scLTL motion planning for mobility-on-demand.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Cooperative planning for coupled multi-agent systems under timed temporal specifications.
Proceedings of the 2017 American Control Conference, 2017

2016
Communication-Free Multi-Agent Control Under Local Temporal Tasks and Relative-Distance Constraints.
IEEE Trans. Autom. Control., 2016

Multi-agent planning under local LTL specifications and event-based synchronization.
Autom., 2016

Least-Violating Planning in Road Networks from Temporal Logic Specifications.
Proceedings of the 7th ACM/IEEE International Conference on Cyber-Physical Systems, 2016

Synthesizing least-limiting guidelines for safety of semi-autonomous systems.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Cooperative task planning of multi-agent systems under timed temporal specifications.
Proceedings of the 2016 American Control Conference, 2016

2015
Decentralized leader-follower control under high level goals without explicit communication.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Decomposition of multi-agent planning under distributed motion and task LTL specifications.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Hybrid control of multi-agent systems under local temporal tasks and relative-distance constraints.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014
Maximally satisfying LTL action planning.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Cooperative decentralized multi-agent control under local LTL tasks and connectivity constraints.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

A receding horizon approach to multi-agent planning from local LTL specifications.
Proceedings of the American Control Conference, 2014

2013
Temporal logic robot control based on automata learning of environmental dynamics.
Int. J. Robotics Res., 2013

Formal analysis of piecewise affine systems through formula-guided refinement.
Autom., 2013

Least-violating control strategy synthesis with safety rules.
Proceedings of the 16th international conference on Hybrid systems: computation and control, 2013

Incremental sampling-based algorithm for minimum-violation motion planning.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Minimum-violation LTL planning with conflicting specifications.
Proceedings of the American Control Conference, 2013

2012
Temporal Logic Control of Discrete-Time Piecewise Affine Systems.
IEEE Trans. Autom. Control., 2012

Verification of Systems with Degradation.
Comput. Informatics, 2012

LTL robot motion control based on automata learning of environmental dynamics.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012

Attraction-based receding horizon path planning with temporal logic constraints.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011
Optimal path planning for surveillance with temporal-logic constraints.
Int. J. Robotics Res., 2011

Timed Automata Approach to Verification of Systems with Degradation.
Proceedings of the Mathematical and Engineering Methods in Computer Science, 2011

2010
Optimal path planning under temporal logic constraints.
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

A symbolic approach to controlling piecewise affine systems.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009
Quantitative Model Checking of Systems with Degradation.
Proceedings of the QEST 2009, 2009

2008
ProbDiVinE-MC: Multi-core LTL Model Checker for Probabilistic Systems.
Proceedings of the Fifth International Conference on the Quantitative Evaluaiton of Systems (QEST 2008), 2008

Local Quantitative LTL Model Checking.
Proceedings of the Formal Methods for Industrial Critical Systems, 2008

2007
ProbDiVinE: A Parallel Qualitative LTL Model Checker.
Proceedings of the Fourth International Conference on the Quantitative Evaluaiton of Systems (QEST 2007), 2007


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