Multi-agent systems have been gaining attention among robotics researchersdue to their capabilities, in terms of which they surpass individualrobots. Such systems, however, entail an increase in complexity,especially to the task planning problem. Therefore, a more sophisticatedplanning approach is needed, one that is able to resolve conflictsbetween local tasks, in particular. These conflicts arise from couplingsbetween robots expressed in their task specifications.A computationally inexpensive collaborative control scheme is implementedin a setup consisting of three omni-directional robots. Therobots execute tasks encoded in Signal Temporal Logic, using PrescribedPerformance Control. They are guaranteed to satisfy the specificationsor, if ...
Multi-robot systems have been widely applied to various applications to perform a given task collabo...
In this thesis, we present a formal control strategy synthesis algorithm for multirobot systems subj...
This paper presents the implementation and experi-mental results of two frameworks for multi-agent s...
Multi-agent systems have been gaining attention among robotics researchersdue to their capabilities,...
Autonomous robots have the potential to accomplisha wide variety of assignments. For this to work in...
Motion planning algorithms allow us to define a sequence of configurations to guide robots from a st...
Autonomous robots like household service robots, self-driving cars and dronesare emerging as importa...
Recent urbanization and industrialization have brought tremendous pressure and challenges to modern ...
Motivated by the recent interest in cyber-physicaland autonomous robotic systems, we study the probl...
Autonomous multi-robot systems have found many real-world applications in factory settings, rescue t...
In this work the problem of the coordination in industrial multi-robot systems is analyzed, that is ...
Over the last decades, autonomous robots have been considered in a variety of applications such as ...
In this work, a robust decentralized model predictive control regime for a team of cooperating robot...
With the increase of robotic presence in our homes and work environment, it has become imperative to...
This brief presents the implementation and experimental results of two frameworks for multi-agent sy...
Multi-robot systems have been widely applied to various applications to perform a given task collabo...
In this thesis, we present a formal control strategy synthesis algorithm for multirobot systems subj...
This paper presents the implementation and experi-mental results of two frameworks for multi-agent s...
Multi-agent systems have been gaining attention among robotics researchersdue to their capabilities,...
Autonomous robots have the potential to accomplisha wide variety of assignments. For this to work in...
Motion planning algorithms allow us to define a sequence of configurations to guide robots from a st...
Autonomous robots like household service robots, self-driving cars and dronesare emerging as importa...
Recent urbanization and industrialization have brought tremendous pressure and challenges to modern ...
Motivated by the recent interest in cyber-physicaland autonomous robotic systems, we study the probl...
Autonomous multi-robot systems have found many real-world applications in factory settings, rescue t...
In this work the problem of the coordination in industrial multi-robot systems is analyzed, that is ...
Over the last decades, autonomous robots have been considered in a variety of applications such as ...
In this work, a robust decentralized model predictive control regime for a team of cooperating robot...
With the increase of robotic presence in our homes and work environment, it has become imperative to...
This brief presents the implementation and experimental results of two frameworks for multi-agent sy...
Multi-robot systems have been widely applied to various applications to perform a given task collabo...
In this thesis, we present a formal control strategy synthesis algorithm for multirobot systems subj...
This paper presents the implementation and experi-mental results of two frameworks for multi-agent s...