RobotAssist - A platform for human robot interaction research
Nathan Kirchner, Alen Alempijevic, Sonja Caraian, Robert Fitch, D Hordern, Gengsheng Hu, Gavin Paul, Daniel Richards, Surya P. N. Singh, Stephen E. D. Webb · UTS ePRESS (University of Technology Sydney) · 2010
This paper presents RobotAssist, a robotic platform designed for use in human robot interaction research and for entry into Robocup@Home competition. The core autonomy of the system is implemented as a component based software framework that allows for integration of operating system independent components, is designed to be expandable and integrates several layers of reasoning. The approaches taken to develop the core capabilities of the platform are described, namely: path planning in a social context, Simultaneous Localisation and Mapping (SLAM), human cue sensing and perception, manipulatable object detection and manipulation.