The Myoelectric Training Tool (MTT) was developed by Michael (Rory) Dawson, BLINC Lab Research Engineer, with the support of a clinical research grant from the Glenrose Rehabilitation Hospital. This robotic arm has five degrees of freedom to mimic the functionality of commercial myoelectric prostheses including hand open/close, wrist rotation, wrist flexion/extension, elbow flexion/extension, and shoulder rotation. Surface EMG signals are used to control the arm, with a flexible control system that also allows the use of joystick or other control methods. The MTT is a versatile platform for research that we use for studying machine learning algorithms for improved control, and integrated sensory-motor feedback trials. We also have developed a clinical version used for training muscle signals in the early stages following upper limb amputation.