Abstract—We propose a methodology for decentralized multi-agent control from Linear Temporal Logic (LTL) spec-ifications. Each agent receives an independent specification to formally synthesize its own hybrid controller. Mutual satisfia-bility is not a priori guaranteed. Due to limited communication, the agents utilize meeting events to exchange their controller automata and verify satisfiability through model checking. Local interaction only when common atomic propositions exist reduces the overall computational cost, facilitating scalability. Provably correct collision avoidance and convergence is ensured by Decentralized Multi-Agent Navigation Functions. I
This paper addresses the problem of decentralized abstractions for multiple mobile manipulators with...
This paper presents a fully automated procedure for controller synthesis for multi-agent systems und...
This brief presents the implementation and experimental results of two frameworks for multi-agent sy...
Abstract—We propose a methodology for decentralized multi-agent control from Linear Temporal Logic (...
Abstract — We propose a framework for the decentralized control of a team of agents that are assigne...
Abstract — We introduce a technique for synthesis of control and communication strategies for a team...
We introduce a technique for synthesis of control and communication strategies for a team of agents ...
We study the problem of controlling multi-agent systems under a set of signal temporal logic tasks. ...
In this paper we propose a methodology for automatically synthesizing motion task controllers based ...
Motivated by the recent interest in formal methods-based control of multi-agent systems, we adopt a ...
This paper presents a fully automated procedure for controller synthesis for a general class of mult...
We use a high-gain methodology to construct linear decentralized controllers for consensus, in netwo...
We propose a distributed control and coordination strat-egy for multi-agent systems where each agent...
Decentralized control of multi-agent systems is an active topic of research, with many practical app...
We use a high-gain methodology to construct linear decentralized controllers for consensus, in netwo...
This paper addresses the problem of decentralized abstractions for multiple mobile manipulators with...
This paper presents a fully automated procedure for controller synthesis for multi-agent systems und...
This brief presents the implementation and experimental results of two frameworks for multi-agent sy...
Abstract—We propose a methodology for decentralized multi-agent control from Linear Temporal Logic (...
Abstract — We propose a framework for the decentralized control of a team of agents that are assigne...
Abstract — We introduce a technique for synthesis of control and communication strategies for a team...
We introduce a technique for synthesis of control and communication strategies for a team of agents ...
We study the problem of controlling multi-agent systems under a set of signal temporal logic tasks. ...
In this paper we propose a methodology for automatically synthesizing motion task controllers based ...
Motivated by the recent interest in formal methods-based control of multi-agent systems, we adopt a ...
This paper presents a fully automated procedure for controller synthesis for a general class of mult...
We use a high-gain methodology to construct linear decentralized controllers for consensus, in netwo...
We propose a distributed control and coordination strat-egy for multi-agent systems where each agent...
Decentralized control of multi-agent systems is an active topic of research, with many practical app...
We use a high-gain methodology to construct linear decentralized controllers for consensus, in netwo...
This paper addresses the problem of decentralized abstractions for multiple mobile manipulators with...
This paper presents a fully automated procedure for controller synthesis for multi-agent systems und...
This brief presents the implementation and experimental results of two frameworks for multi-agent sy...