Panagiotis Artemiadis
As robots are increasingly migrating out of factories and research laboratories and into our everyday lives, they should move and act in environments designed for humans. For this reason, the need of anthropomorphic movements is of utmost importance. This paper proposes a framework for solving the inverse kinematics problem of redundant robot arms that results to anthropomorphic configurations. The swivel angle of the elbow is used as a human arm motion parameter for the robot arm to mimic. The swivel angle is defined as the rotation angle of the plane defined by the upper and lower arm around a virtual axis that connects the shoulder and wrist joints. Using kinematic data recorded from human subjects during every-day life tasks, we validate the linear relations between intrinsic and extrinsic coordinates of the human arm that estimates the swivel angle, given the desired end-effector position. Defining the desired swivel angle simplifies the kinematic redundancy of the robot arm. The proposed method is tested with an anthropomorphic redundant robot arm and the computed motion profiles are compared to the ones of the human subjects. We show that the method computes anthropomorphic configurations for the robot arm, even if the robot arm has different link lengths than the human arm and starts its motion at random configurations.
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Advances in Robotics & Automation received 1127 citations as per Google Scholar report
