Author_Institution :
Shanghai Key Lab. of Trustworthy Comput., East China Normal Univ., Shanghai, China
Abstract :
We present a low-cost social robot system composed of a mobile base (a robotic cleaner, $150), an Intel RealSense RGB-D camera ($100), a touch screen powerful laptop ($800), the ROS(Robot Operating System) ($0) and the Intel RealSense SDK ($0). This social robot has the capability of autonomously navigating in an unstructured and dynamic environment, avoiding collisions with stationary or dynamic obstacles and generating rich social behaviors (such as face detection, hand tracking, take pictures, interact with social networks, etc.). Taking advantage of plenty of open source packages in the ROS and Intel cutting edge perceptual computing software, this social robot system allows researchers and school students to rapidly reproduce an affordable and ideal hardware/software platform for their robotics-related research and education. Such a low-cost robot is expected to lead to faster progress in robotics-related application development and research, such as robot-human interaction, social communication, networking robots and even other non-robotic fields.
Keywords :
collision avoidance; human-robot interaction; mobile robots; operating systems (computers); public domain software; robot programming; software packages; Intel RealSense RGB-D camera; Intel RealSense SDK; Intel cutting edge perceptual computing software; ROSBOT; autonomous navigation; collision avoidance; dynamic obstacles; hardware platform; low-cost autonomous social robot; mobile base; networking robots; nonrobotic fields; open source packages; robot operating system; robot-human interaction; robotic cleaner; social behavior generation; social communication; software platform; stationary obstacle; touch-screen laptop; unstructured-dynamic environment; Cameras; Collision avoidance; Portable computers; Robot vision systems; Service robots;