Player 2.0: Toward a Practical Robot Programming Framework

By T. Collett, B. Macdonald, Brian P. Gerkey. 2008

313 citations recorded by the source corpus.

How researchers see this paper

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Robot task planning using semantic maps (2008, methodology): “To keep the experiment simple, the robot was tele-operated and its selflocalization was based on the Monte-Carlo localization system built-in inside Player [ 44 ].”
Research Advance in Swarm Robotics (2013, background): “Player/stage The widely-used Player Project [101] is one of the most famous simulators and aims to produce free software for robot and sensor research.”
Reducing the Barrier to Entry of Complex Robotic Software: a MoveIt! Case Study (2014, background): “…been much work to address the software engineering challenges of complex robotic frameworks, but typically the identiﬁed design goals have emphasized the need for features such as platform independence, scalability, real-time performance, software reuse, and distributed layouts [15], [16], [17].”
OpenRAVE: A Planning Architecture for Autonomous Robotics (2008, background): “The vision server and robot controllers are implemented as Player drivers, and the appropriate Player clients are OpenRAVE plugins.”
LCM: Lightweight Communications and Marshalling (2010, methodology): “Several systems use an XDR-based marshalling system [8], [9], [2], though some implementations provide only partially automatic code generation.”