Linear Temporal Logic-based Mission Planning
Autor:
Kumar, Anil
; Kala, Rahul
Fecha:
2016Palabra clave:
Revista / editorial:
International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)Tipo de Ítem:
Articulo Revista IndexadaDirección web:
https://ijimai.org/journal/bibcite/reference/2545Resumen:
In this paper, we describe the Linear Temporal
Logic-based reactive motion planning. We address the problem of
motion planning for mobile robots, wherein the goal specification
of planning is given in complex environments. The desired task
specification may consist of complex behaviors of the robot,
including specifications for environment constraints, need of task
optimality, obstacle avoidance, rescue specifications, surveillance
specifications, safety specifications, etc. We use Linear Temporal
Logic to give a representation for such complex task specification
and constraints. The specifications are used by a verification engine
to judge the feasibility and suitability of plans. The planner gives a
motion strategy as output. Finally a controller is used to generate
the desired trajectory to achieve such a goal. The approach is
tested using simulations on the LTLMoP mission planning tool,
operating over the Robot Operating System. Simulation results
generated using high level planners and low level controllers work
simultaneously for mission planning and controlling the physical
behavior of the robot.
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