A Communication-free Behavior for Docking Mobile Robots

Minten, Brian W.; Murphy, Robin R.; Hyams, Jeff; Micire, Mark

doi:10.1007/978-4-431-67919-6_34

Cited by 3 publications

(1 citation statement)

References 5 publications

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“…A method to direct the carrier vehicle and passenger vehicles such that a majority of the vehicles are kept fueled is provided and the effectiveness of the method is illustrated in a variety of environments. In [12] and [13], the authors describe a docking approach for the passenger vehicles based on vision. Their approach does not require communications between the passenger and carrier vehicles and is faster than docking using tele-operation without a degradation in success rate.…”

Section: B Literature Reviewmentioning

confidence: 99%

Path planning for information acquisition and evasion using marsupial vehicles

Fargeas

Kabamba

Girard

2015

2015 American Control Conference (ACC)

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This paper considers a path planning problem with two marsupial vehicles (one carrier vehicle and one passenger vehicle that is deployed by the carrier vehicle) exploring a planar area. This work is motivated by multiagent intelligence, surveillance, and reconnaissance missions in contested environments. The vehicles are heterogeneous, e.g., the carrier vehicle is faster than the passenger vehicle or the passenger vehicle possesses better sensors than the carrier vehicle. The vehicles are to gather a finite amount of information about an object of interest using their sensors while minimizing the likelihood of their detection by an opponent. Necessary conditions for optimal solutions are given and straight line travel for both vehicles is shown to be optimal. The results are illustrated in several simulation examples.

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Section: B Literature Reviewmentioning

confidence: 99%

Path planning for information acquisition and evasion using marsupial vehicles

Fargeas

Kabamba

Girard

2015

2015 American Control Conference (ACC)

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Current research in multirobot systems

Parker

2003

Artif Life Robotics

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As research progresses in distributed robotic systems, more and more aspects of multirobot systems are being explored. This article describes advances in multirobot systems, and surveys the current state of the art. The focus is principally on research that has been demonstrated in physical robot implementations. I have identified eight primary research topics within multirobot systemsbiological inspirations, communication, architectures, localization/mapping/exploration, object transport and manipulation, motion coordination, reconfigurable robots, and learning -and discuss the current state of research in these areas. As I describe each research area, I identify some key open issues in multirobot team research, and conclude by identifying several additional open research issues in distributed mobile robotic systems.

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Control Architecture for Autonomous Multi-Robot System: Survey and Analysis

Yan

Tang

2009

2009 Second International Conference on Intelligent Computation Technology and Automation

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A Communication-free Behavior for Docking Mobile Robots

Cited by 3 publications

References 5 publications

Path planning for information acquisition and evasion using marsupial vehicles

Path planning for information acquisition and evasion using marsupial vehicles

Current research in multirobot systems

Control Architecture for Autonomous Multi-Robot System: Survey and Analysis

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