Quanser’s QArm is a 4 DOF serial robotic manipulator with a tendon-based two-stage gripper and an RGBD camera, designed for modern engineering education and academic research applications. Leveraging the intuitive graphical interface of Simulink® or expandability of Python™ and ROS, students get a systematic understanding of the design of robotic systems and concepts, including joint control, kinematics, path planning, statics, and dynamics. QArm comes with comprehensive studio-type course resources to motivate students and provide the basis for interactive challenges. The QArm curriculum is mapped to popular robotics textbooks by Mark Spong and John Craig.
The open architecture design of QArm allows researchers to quickly develop and deploy their applications in machine learning, assistive robotics, collaborative robotics, and more, using both custom and internal control schemes.