Using On-line Simulation for Adaptive Path Planning of UAVs

Tiainen, Tarja; Kaapu, Taina; Ellrnan, Asko; Roberts, David

doi:10.1109/ds-rt.2007.23

Cited by 32 publications

(11 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Several applications which use symbiotic simulation have been developed since 2002. These include the application of symbiotic simulation for UAV path planning [7], social sciences [8], [9], and business process re-engineering [10]. In the context of semiconductor manufacturing, symbiotic simulation has already been used in [11] to optimise backend operations.…”

Section: Related Workmentioning

confidence: 99%

Symbiotic Simulation Control in Semiconductor Manufacturing

Aydt

Turner

Cai

et al. 2008

Computational Science – ICCS 2008

View full text Add to dashboard Cite

Abstract. Semiconductor manufacturing is a highly complex and asset intensive process. Solutions are needed to automate control of equipment and improve efficiency. We describe a symbiotic simulation control system which uses reactive what-if analysis to find a stable configuration of a wet bench tool set. This control system is based on a generic framework for symbiotic simulation. We show that symbiotic simulation can be used to make control decisions in near real-time. Furthermore, we show that our approach yields a notable performance improvement over common practise.

show abstract

Section: Related Workmentioning

confidence: 99%

Symbiotic Simulation Control in Semiconductor Manufacturing

Aydt

Turner

Cai

et al. 2008

Computational Science – ICCS 2008

View full text Add to dashboard Cite

show abstract

“…We can quote here only some among them. [1] have studied an on-line simulation approach in UAV path planning for trackinga single target using particle filter method. Also, a navigation strategythatemploys the optical flow and inertial information to control a simulated helicopter is presented in [2].…”

mentioning

confidence: 99%

Vision Based Tracking for a Quadrotor Using Vanishing Points

Gomez-Balderas¹,

Castillo²,

Guerrero³

et al. 2011

J Intell Robot Syst

View full text Add to dashboard Cite

“…Another domain where symbiotic simulation has been applied is the control of unmanned aerial vehicles (UAVs). Kamrani and Ayani describe how symbiotic simulation can be used for path planning (Kamrani and Ayani 2007). In their application, the path of a UAV is frequently adapted.…”

Section: Related Workmentioning

confidence: 99%

Research issues in symbiotic simulation

Aydt¹,

Turner²,

Cai³

et al. 2009

Proceedings of the 2009 Winter Simulation Conference (WSC)

View full text Add to dashboard Cite

Symbiotic simulation is a paradigm in which a simulation system and a physical system are closely associated with each other. This close relationship can be mutually beneficial. The simulation system benefits from real-time measurements about the physical system which are provided by corresponding sensors. The physical system, on the other side, may benefit from the effects of decisions made by the simulation system. An important concept in symbiotic simulation is that of the what-if analysis process which is concerned with the evaluation of a number of what-if scenarios by means of simulation. Symbiotic simulation and related paradigms have become popular in recent years because of their ability to dynamically incorporate real-time sensor data. In this paper, we explain different types of symbiotic simulation and give an overview of the state of the art. In addition, we discuss common research issues that have to be addressed when working with symbiotic simulation. While some issues have been adequately addressed, there are still research issues that remain open. 1213 978-1-4244-5771-7/09/$26.00 ©2009 IEEE Aydt, Turner, Cai, and Low

show abstract

Using On-line Simulation for Adaptive Path Planning of UAVs

Cited by 32 publications

References 3 publications

Symbiotic Simulation Control in Semiconductor Manufacturing

Symbiotic Simulation Control in Semiconductor Manufacturing

Vision Based Tracking for a Quadrotor Using Vanishing Points

Research issues in symbiotic simulation

Contact Info

Product

Resources

About