Disney Research Los Angeles

We present a system for fast and robust handovers with a robot character, together with a user study investigating the effect of robot speed and reaction time on perceived interaction quality. The system can match and exceed human speeds and confirms that users prefer human-level timing.

We present a light field video synthesis technique that can achieve accurate reconstruction given a low-cost, widebaseline camera rig. Our system called, INDiuM, novelly integrates optical flow with methods for rectification, disparity estimation, and feature extraction, which we then feed to a neural network view synthesis solver with widebaseline capability. A new bi-directional warping approach resolves reprojection ambiguities that would result from either backward or forward warping only. The system and method enables the use of off-the-shelf surveillance camera hardware in a simplified and expedited capture workflow. A thorough analysis of the refinement process and resulting view synthesis accuracy over state of the art is provided.

This work aims to validate the Robotic Social Attributes Scale (RoSAS) for human-robot interaction.

In this paper, we examine joint torque tracking as well as estimation of external torques for the KUKA Lightweight Robot (LBR) IIWA.

In this paper, we examine the sensing and actuation necessary for a mechanism to alter its fall under a high rate of spin.