Abstract—A reconfiguration method for the model-checking-based motion planning of single- and multi-agent systems under infeasible local LTL specifications is proposed. The method describes how to synthesize the motion plan that fulfills the infeasible task specification the most, and how the infeasible task specification is relaxed. The novelty is the introduction of a metric within the atomic proposition domain, and the relative weighting between the implementation cost of a motion plan and its distance to the original specification. For multi-agent systems, a dependency relation and relative priorities are incorporated when the tasks are assigned independently to each agent. Simulations are presented to illustrate the method. I
This work proposes a novel high-level paradigm, agent planning programs, for modeling agents behavio...
Abstract — We present a compositional motion planning framework for multi-robot systems based on an ...
Abstract — We introduce a technique for synthesis of control and communication strategies for a team...
Abstract — We propose a cooperative motion and task plan-ning scheme for multi-agent systems where t...
Abstract — We propose a cooperative motion and task plan-ning scheme for multi-agent systems where t...
Abstract — In this paper we propose a generic framework for real-time motion planning based on model...
In this paper we propose a methodology for automatically synthesizing motion task controllers based ...
Motion planning is a fundamental algorithmic problem that attracts attention because of its importan...
This paper describes a holistic method for automatically synthesizing controllers for a team of robo...
In this paper, we describe the Linear Temporal Logic-based reactive motion planning. We address the ...
Many multi-agent planning systems ca ~ perform more effectively than single-agent systems due to red...
Model checking of temporal logic has already been proposed for automatic planning. In this paper, we...
Generating verifiably correct execution strategies from Linear Temporal Logic (LTL) mission specific...
We present a compositional motion planning framework for multi-robot systems based on an encoding to...
Linear Temporal Logic (LTL), as one of the temporal logic, can generate a fully automated correct-by...
This work proposes a novel high-level paradigm, agent planning programs, for modeling agents behavio...
Abstract — We present a compositional motion planning framework for multi-robot systems based on an ...
Abstract — We introduce a technique for synthesis of control and communication strategies for a team...
Abstract — We propose a cooperative motion and task plan-ning scheme for multi-agent systems where t...
Abstract — We propose a cooperative motion and task plan-ning scheme for multi-agent systems where t...
Abstract — In this paper we propose a generic framework for real-time motion planning based on model...
In this paper we propose a methodology for automatically synthesizing motion task controllers based ...
Motion planning is a fundamental algorithmic problem that attracts attention because of its importan...
This paper describes a holistic method for automatically synthesizing controllers for a team of robo...
In this paper, we describe the Linear Temporal Logic-based reactive motion planning. We address the ...
Many multi-agent planning systems ca ~ perform more effectively than single-agent systems due to red...
Model checking of temporal logic has already been proposed for automatic planning. In this paper, we...
Generating verifiably correct execution strategies from Linear Temporal Logic (LTL) mission specific...
We present a compositional motion planning framework for multi-robot systems based on an encoding to...
Linear Temporal Logic (LTL), as one of the temporal logic, can generate a fully automated correct-by...
This work proposes a novel high-level paradigm, agent planning programs, for modeling agents behavio...
Abstract — We present a compositional motion planning framework for multi-robot systems based on an ...
Abstract — We introduce a technique for synthesis of control and communication strategies for a team...