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1
Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3218216
Abstract: Deep reinforcement learning (DRL) has attracted much attention as an approach to solve optimal control problems without mathematical models of systems. On the other hand, in general, constraints may be imposed on optimal control problems.…
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Keywords:
reinforcement learning;
signal temporal;
deep reinforcement;
control ... See more keywords
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3
Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3246512
Abstract: Modern cyber-physical systems would often fall victim to unanticipated anomalies. Humans are still required in many operations to troubleshoot and respond to such anomalies, such those in future deep space habitats. To maximize the effectiveness…
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Keywords:
system;
causal signal;
signal temporal;
environmental control ... See more keywords
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1
Published in 2019 at "IEEE Control Systems Letters"
DOI: 10.1109/lcsys.2018.2853182
Abstract: The need for computationally-efficient control methods of dynamical systems under temporal logic tasks has recently become more apparent. Existing methods are computationally demanding and hence often not applicable in practice. Especially with respect to multi-robot…
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Keywords:
control;
control barrier;
logic tasks;
signal temporal ... See more keywords
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Published in 2024 at "IEEE Control Systems Letters"
DOI: 10.1109/lcsys.2024.3519034
Abstract: In this letter, we design a model predictive controller (MPC) for systems to satisfy Signal Temporal Logic (STL) specifications when the system dynamics are partially unknown, and only a nominal model and past runtime data…
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Keywords:
signal temporal;
temporal logic;
model predictive;
control ... See more keywords
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Published in 2021 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2021.3068114
Abstract: A framework for computing feasible and constrained trajectories for a fleet of quad-rotors leveraging on Signal Temporal Logic (STL) specifications for power line inspection tasks is proposed in this letter. The planner allows the formulation…
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Keywords:
power line;
inspection tasks;
signal temporal;
temporal logic ... See more keywords
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Published in 2021 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2021.3092676
Abstract: Learning control policies that are safe, robust and interpretable are prominent challenges in developing robotic systems. Learning-from-demonstrations with formal logic is an arising paradigm in reinforcement learning to estimate rewards and extract robot control policies…
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Keywords:
demonstrations using;
logic stochastic;
learning demonstrations;
signal temporal ... See more keywords
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Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3200760
Abstract: We address the problem of cooperative manipulation of an object whose tasks are specified by a Signal Temporal Logic (STL) formula. We employ the Prescribed Performance Control (PPC) methodology to guarantee predefined transient and steady-state…
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Keywords:
cooperative object;
signal temporal;
stl formula;
manipulation ... See more keywords
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Published in 2024 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2024.3444668
Abstract: Generating realistic simulations is critical for autonomous system applications such as self-driving and human-robot interactions. However, driving simulators nowadays still have difficulty in generating controllable, diverse, and rule-compliant behaviors for road participants: Rule-based models cannot…
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Keywords:
signal temporal;
temporal logic;
logic;
policy ... See more keywords
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Published in 2025 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2025.3563119
Abstract: We address the problem of resilient motion planning for robots operating under Signal Temporal Logic (STL) specifications in dynamic environments. In such settings, unforeseen events—such as the emergence of dynamic obstacles—can render the original STL…
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Keywords:
signal temporal;
temporal logic;
online planning;
logic ... See more keywords
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2
Published in 2023 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2022.3195470
Abstract: Signal temporal logic (STL) has been found to be an expressive language for describing complex, time-constrained tasks in several robotic applications. Existing methods encode such specifications by either using integer constraints or by employing set…
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Keywords:
time;
horizon control;
receding horizon;
signal temporal ... See more keywords
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Published in 2025 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2024.3482104
Abstract: Robustness functions provide quantitative scores to measure the satisfaction of temporal logic formulas. We introduce a general class of parameterized robustness functions for signal temporal logic (STL), and demonstrate how it can be used for…
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Keywords:
signal temporal;
temporal logic;
robustness;
control ... See more keywords