In this paper, we examine the sensing and actuation necessary for a mechanism to alter its fall under a high rate of spin.
We develop a reconfigurable legged robot, named Snapbot, to emulate configuration changes and various styles of legged locomotion.
We present a novel computational approach to optimizing the morphological design of robots.
We introduce a miniaturized active stabilization mechanism that attenuates such disturbances and keeps the camera steady.
In this paper, we use KUKA’s Fast Robot Interface (FRI) to design and implement a tracking controller on the Lightweight Robot (LBR) IIWA.
We demonstrate the efficacy of the algorithm on a theme-park type humanoid doing a drawing task, serving drink in a glass, and serving a drink placed on a tray without spilling.
We present a system enabling users to accurately catch a real ball while immersed in a virtual reality environment.
For this experiment, we designed a novel protocol to induce changes in the robot's group and study different social contexts.
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