Students from Haptics, Kinematics/Dynamics, and Modern Biomedical Technologies demonstrated their projects, April 25, 2013.
Motion capture from inertial sensing for untethered robotic tele-operation|
In the modern age of robotics, it is important to find an interactive and intuitive way of interaction with the robots. An intuitive interaction with the robot makes it more friendly and the users require less training. This project proposed a method to control robots using human gestures using a tilt sensor. The methodology proposed was experimentally evaluated on a wireless-controlled robot. These tilt sensors are attached to the human arms, capturing its behavior (gestures and postures). Suitable control algorithms were written to control the robot using the hand postures. The robot should have a high response rate (i.e., should respond to the gesture or posture as soon as the user starts to perform the action). The results of this project show this to be an innovative way to control the industrial robots in an intuitive way, but the gesture response rate should be improved in the near future.