R. Vaughan

Publications112
h-index30
Citations5,015
Highly Influential Citations300
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The Player/Stage Project: Tools for Multi-Robot and Distributed Sensor Systems
TLDR
Current usage of Player and Stage is reviewed, and some interesting research opportunities opened up by this infrastructure are identified.
Massively multi-robot simulation in stage
  • R. Vaughan
  • Computer Science
    Swarm Intelligence
  • 22 August 2008
TLDR
Stage’s scalability is examined to suggest that it may be useful for swarm robotics researchers who would otherwise use custom simulators, with their attendant disadvantages in terms of code reuse and transparency.
View on Springer
Most valuable player: a robot device server for distributed control
TLDR
Player combines an efficient message protocol with a simple device model that provides transparent network access to a collection of sensors and actuators, often comprising a robot, and is implemented as a multithreaded TCP socket server.
View on IEEE
On device abstractions for portable, reusable robot code
TLDR
This paper proposes that PADI could be a starting point for development of a standard platform for robot interfacing, independent of Player, to enable code portability and re-use, while still providing access to the unique capabilities of individual devices.
View on IEEE
HRI in the sky: Creating and commanding teams of UAVs with a vision-mediated gestural interface
TLDR
This work presents the first example of creating, modifying and commanding teams of UAVs by an uninstrumented human with real-time vision-based Human Robot Interaction with multi-robot systems.
View on IEEE
A fast and frugal method for team-task allocation in a multi-robot transportation system
TLDR
This paper presents two task-allocation strategies for a multi-robot transportation system based on a centralized planner that uses domain knowledge to solve the assignment problem in linear time and individual robots make rule-based allocation decisions using only locally obtainable information and single value communication.
View on IEEE
Selecting and Commanding Individual Robots in a Multi-Robot System
TLDR
A user first selects an individual robot from a group of robots, by simply looking at it, and then commands the selected robot with a motion-based gesture, and robots estimate which robot the user is looking at by performing a distributed leader election based on the "score" of the detected frontal face.
View on IEEE
Go ahead, make my day: Robot conflict resolution by aggressive competition
TLDR
The utility of an aggressive competition to reduce interference and increase eÆciency in a simulated but realistic multirobot transport task and suggests neither a linear dominance hierarchy nor a simple sensor bias method has any advantage over a random outcome.
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LOST: localization-space trails for robot teams
Cushioning member that has a thickness greater than that of a card-type electronic device and is formed of an elastic material is detachably attached to the peripheral edge portion of the electronic…
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Learned Map Prediction for Enhanced Mobile Robot Exploration
TLDR
An autonomous ground robot capable of exploring unknown indoor environments for reconstructing their 2D maps is demonstrated and an advantage over end-to-end learned exploration methods is retained in that the robot’s behavior is easily explicable in terms of the predicted map.
View on IEEE
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