Provably-correct coordination of large collections of agents with counting temporal logic constraints

In this paper, we consider the problem of coordinating a large collection of homogeneous agents subject to a novel class of constraints: counting temporal logic constraints. Counting constraints arise naturally in many multi-agent planning problems where the identity of the agents is not important f...

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Bibliographic Details
Published in:2017 ACM IEEE 8th International Conference on Cyber Physical Systems (ICCPS) pp. 249 - 258
Main Authors: Sahin, Yunus Emre, Nilsson, Petter, Ozay, Necmiye
Format: Conference Proceeding
Language:English
Published: New York, NY, USA ACM 18.04.2017
Series:ACM Other Conferences
Subjects:
Computer science
Computer systems organization > Embedded and cyber-physical systems > Robotics > Robotic autonomy
Computing methodologies > Artificial intelligence > Control methods > Motion path planning
Computing methodologies > Artificial intelligence > Planning and scheduling > Multi-agent planning
Computing methodologies > Artificial intelligence > Planning and scheduling > Planning for deterministic actions
Correct-by-construction synthesis
Cyber-physical systems
Electrical engineering
Planning
Robot kinematics
Theory of computation > Logic > Abstraction
Theory of computation > Logic > Modal and temporal logics
Vehicle dynamics
correct-by-construction synthesis
ISBN:9781450349659, 145034965X
Online Access:Get full text
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Summary:In this paper, we consider the problem of coordinating a large collection of homogeneous agents subject to a novel class of constraints: counting temporal logic constraints. Counting constraints arise naturally in many multi-agent planning problems where the identity of the agents is not important for the task to be completed. We introduce a formal language to capture such tasks and present an optimization-based technique to synthesize plans for large collections of agents in a way to guarantee the satisfaction of tasks specified in this formalism.
ISBN:9781450349659
145034965X
DOI:10.1145/3055004.3055021