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 systems, these methods do not scale computationally. In this letter, we propose a framework that is based on control barrier functions and signal temporal logic. In particular, time-varying control barrier functions are considered where the temporal properties are used to satisfy signal temporal logic tasks. The resulting controller is given by a switching strategy between a computationally-efficient convex quadratic program and a local feedback control law.QC 20201117</p
Motivated by the recent interest in formal methods-based control for dynamic robots, we discuss the ...
Motivated by robotic motion planning, we develop a framework for control policy synthesis for both n...
We present a mathematical programming-based method for optimal control of nonlinear systems subject ...
The need for computationally-efficient control methods of dynamical systems under temporal logic tas...
We study the problem of controlling multi-agent systems under a set of signal temporal logic tasks. ...
Signal Temporal Logic (STL) has been found an expressive language for describing complex, time-const...
In this work we consider the control problem of systems that are subject to disjunctions of Signal T...
Motivated by the recent interest in cyber-physicaland autonomous robotic systems, we study the probl...
Dynamical systems that provably satisfy given specifications have become increasingly important in m...
This paper presents the implementation and experi-mental results of two frameworks for multi-agent s...
Motivated by the recent interest in cyber-physical and interconnected autonomous systems, we study t...
Abstract—Motivated by the recent interest in cyber-physicaland interconnected autonomous systems, we...
This brief presents the implementation and experimental results of two frameworks for multi-agent sy...
Multi-agent systems under temporal logic tasks have great potential due to their ability to deal wit...
Motivated by the recent interest in formal methods-based control for dynamic robots, we discuss the ...
Motivated by robotic motion planning, we develop a framework for control policy synthesis for both n...
We present a mathematical programming-based method for optimal control of nonlinear systems subject ...
The need for computationally-efficient control methods of dynamical systems under temporal logic tas...
We study the problem of controlling multi-agent systems under a set of signal temporal logic tasks. ...
Signal Temporal Logic (STL) has been found an expressive language for describing complex, time-const...
In this work we consider the control problem of systems that are subject to disjunctions of Signal T...
Motivated by the recent interest in cyber-physicaland autonomous robotic systems, we study the probl...
Dynamical systems that provably satisfy given specifications have become increasingly important in m...
This paper presents the implementation and experi-mental results of two frameworks for multi-agent s...
Motivated by the recent interest in cyber-physical and interconnected autonomous systems, we study t...
Abstract—Motivated by the recent interest in cyber-physicaland interconnected autonomous systems, we...
This brief presents the implementation and experimental results of two frameworks for multi-agent sy...
Multi-agent systems under temporal logic tasks have great potential due to their ability to deal wit...
Motivated by the recent interest in formal methods-based control for dynamic robots, we discuss the ...
Motivated by robotic motion planning, we develop a framework for control policy synthesis for both n...
We present a mathematical programming-based method for optimal control of nonlinear systems subject ...